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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Quantitative structure activity relationship studies of novel hydrazone derivatives as α-amylase inhibitors with index of ideality of correlation
Meenakshi Duhan, Jayant Sindhu, Parvin Kumar, et al.
Journal of Biomolecular Structure and Dynamics (2020) Vol. 40, Iss. 11, pp. 4933-4953
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus
Adewale Oluwaseun Fadaka, Nicole Remaliah Samantha Sibuyi, Darius Riziki Martin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 90
Design, synthesis, spectroscopic characterization, single crystal X-ray analysis, in vitro α-amylase inhibition assay, DPPH free radical evaluation and computational studies of naphtho[2,3-d]imidazole-4,9-dione appended 1,2,3-triazoles
Meena Devi, Parvin Kumar, Rahul Singh, et al.
European Journal of Medicinal Chemistry (2023) Vol. 250, pp. 115230-115230
Closed Access | Times Cited: 22
A simple and reliable QSPR model for prediction of chromatography retention indices of volatile organic compounds in peppers
Shahin Ahmadi, Shahram Lotfi, Hamideh Hamzehali, et al.
RSC Advances (2024) Vol. 14, Iss. 5, pp. 3186-3201
Open Access | Times Cited: 7
Parsing structural fragments of thiazolidin-4-one based α-amylase inhibitors: A combined approach employing in vitro colorimetric screening and GA-MLR based QSAR modelling supported by molecular docking, molecular dynamics simulation and ADMET studies
Rahul Singh, Parvin Kumar, Jayant Sindhu, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106776-106776
Closed Access | Times Cited: 19
Quasi-SMILES as a basis for the development of QSPR models to predict the CO2 capture capacity of deep eutectic solvents using correlation intensity index and consensus modelling
Parvin Kumar, Ashwani Kumar, Jayant Sindhu, et al.
Fuel (2023) Vol. 345, pp. 128237-128237
Closed Access | Times Cited: 14
Exploring biological efficacy of novel benzothiazole linked 2,5-disubstituted-1,3,4-oxadiazole hybrids as efficient α-amylase inhibitors: Synthesis, characterization, inhibition, molecular docking, molecular dynamics and Monte Carlo based QSAR studies
Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, et al.
Computers in Biology and Medicine (2021) Vol. 138, pp. 104876-104876
Closed Access | Times Cited: 34
Correlation intensity index (CII) as a benchmark of predictive potential: Construction of quantitative structure activity relationship models for anti-influenza single-stranded DNA aptamers using Monte Carlo optimization
Parvin Kumar, Ashwani Kumar
Journal of Molecular Structure (2021) Vol. 1246, pp. 131205-131205
Closed Access | Times Cited: 27
Thiazolidine-2,4-dione framework containing spiropyrrolidine-oxindole and 1,2,3-triazole scaffold: synthesis, in vitro α-amylase inhibition and in silico studies
Meenakshi Duhan, Rahul Singh, Meena Devi, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 11, pp. 5399-5412
Closed Access | Times Cited: 10
Design of Potent Inhibitors Targeting the Main Protease of SARS-CoV-2 Using QSAR Modeling, Molecular Docking, and Molecular Dynamics Simulations
Mehdi Oubahmane, Ismail Hdoufane, Christelle Delaite, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 4, pp. 608-608
Open Access | Times Cited: 10
In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization
Faezeh Tajiani, Shahin Ahmadi, Shahram Lotfi, et al.
BMC Chemistry (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Prediction of power conversion efficiency of phenothiazine-based dye-sensitized solar cells using Monte Carlo method with index of ideality of correlation
Ashwani Kumar, Parvin Kumar
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 10, pp. 817-834
Closed Access | Times Cited: 23
Identification of Cyclic Sulfonamides with an N-Arylacetamide Group as α-Glucosidase and α-Amylase Inhibitors: Biological Evaluation and Molecular Modeling
Furqan Ahmad Saddique, Matloob Ahmad, Usman Ali Ashfaq, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 1, pp. 106-106
Open Access | Times Cited: 16
Exploration of structural, electrostatic and photophysical behaviour of novel Ni(II), Cu(II) and Zn(II) complexes and their utility as potent antimicrobial agents
Indu Bala, Kiran Singh, Ramesh Kataria, et al.
Applied Organometallic Chemistry (2022) Vol. 36, Iss. 6
Closed Access | Times Cited: 16
Synthesis of Some Novel 4-bromobenzoic Acid Clubbed Hydrazone Schiff Base Derivatives as Potent α-amylase Inhibitors: In vitro and In silico Studies
Momin Khan, Faima Alam, Aftab Alam, et al.
Letters in Drug Design & Discovery (2024) Vol. 21, Iss. 15, pp. 3186-3197
Closed Access | Times Cited: 2
Quantitative structure activity relationship studies of androgen receptor binding affinity of endocrine disruptor chemicals with index of ideality of correlation, their molecular docking, molecular dynamics and ADME studies
Surbhi Goyal, Payal Rani, Monika Chahar, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 41, Iss. 23, pp. 13616-13631
Closed Access | Times Cited: 7
Prediction of second-order rate constants of the sulfate radical anion with aromatic contaminants using the Monte Carlo technique
Shahram Lotfi, Shahin Ahmadi, Ali Azimi, et al.
New Journal of Chemistry (2023) Vol. 47, Iss. 42, pp. 19504-19515
Closed Access | Times Cited: 7
Identifications of good and bad structural fragments of hydrazone/2,5-disubstituted-1,3,4-oxadiazole hybrids with correlation intensity index and consensus modelling using Monte Carlo based QSAR studies, their molecular docking and ADME analysis
Parvin Kumar, Rahul Singh, Ashwani Kumar, et al.
SAR and QSAR in environmental research (2022) Vol. 33, Iss. 9, pp. 677-700
Closed Access | Times Cited: 12
Pyridine-N-Oxide Alkaloids from Allium stipitatum and Their Synthetic Disulfide Analogs as Potential Drug Candidates against Mycobacterium tuberculosis: A Molecular Docking, QSBAR, and ADMET Prediction Approach
Cedric Dzidzor Kodjo Amengor, Emmanuel Orman, Cynthia Amaning Danquah, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 12
Ecotoxicological prediction of organic chemicals toward Pseudokirchneriella subcapitata by Monte Carlo approach
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar
RSC Advances (2022) Vol. 12, Iss. 38, pp. 24988-24997
Open Access | Times Cited: 9
QSAR study of tetrahydropteridin derivatives as polo-like kinase 1(PLK1) Inhibitors with molecular docking and dynamics study
Garima, Sonika Sharma, Jayant Sindhu, et al.
SAR and QSAR in environmental research (2023) Vol. 34, Iss. 2, pp. 91-116
Closed Access | Times Cited: 5
Thiazolidinedione–Triazole Conjugates: Design, Synthesis and Probing of the α-Amylase Inhibitory Potential
Rahul Singh, Parvin Kumar, Jayant Sindhu, et al.
Future Medicinal Chemistry (2023) Vol. 15, Iss. 14, pp. 1273-1294
Closed Access | Times Cited: 5
α -amylase Inhibition and In Silico Studies of Novel Naphtho[2,3- d ]imidazole-4,9-Dione Linked N -acyl Hydrazones
Meena Devi, Parvin Kumar, Rahul Singh, et al.
Future Medicinal Chemistry (2023) Vol. 15, Iss. 16, pp. 1511-1525
Closed Access | Times Cited: 5
Finding structural requirements of structurally diverse α-glucosidase and α-amylase inhibitors through validated and predictive 2D-QSAR and 3D-QSAR analyses
Soumya Mitra, Subhadas Chatterjee, Shobhan Bose, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 126, pp. 108640-108640
Closed Access | Times Cited: 5
Optimization of Monte Carlo Method-Based QSPR modeling for lipophilicity in radiopharmaceuticals
Fariba Bamdi, Fereshteh Shiri, Shahin Ahmadi, et al.
Chemical Physics Letters (2024) Vol. 843, pp. 141239-141239
Closed Access | Times Cited: 1
Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach
Shahin Ahmadi, Shahram Lotfi, Ali Azimi, et al.
Results in Chemistry (2024) Vol. 10, pp. 101734-101734
Open Access | Times Cited: 1
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