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OpenAlex Citation Counts

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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.

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Showing 12 citing articles:

The Assessment of Vaginal permeability – in silico Approach
Sonja Pop-Trajkovic Dinić, Milan Trenkić, Aleksandar Živadinović, et al.
Journal of Pharmaceutical Innovation (2025) Vol. 20, Iss. 1
Closed Access
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
Monte Carlo Optimization Method Based QSAR Modeling of Placental Barrier Permeability
Predrag Vukomanović, Milan Stefanović, Jelena Milošević, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 3, pp. 493-500
Closed Access | Times Cited: 4
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
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
Fragments of local symmetry in a sequence of amino acids: Does one can use for QSPR/QSAR of peptides?
Alla P. Toropova, Andrey A. Toropov, Parvin Kumar, et al.
Journal of Molecular Structure (2023) Vol. 1293, pp. 136300-136300
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
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
QSAR analysis for pyrimidine and pyridine derivatives as RIPK2 (receptor interacting protein kinase 2) inhibitors
Garima, Sanjeev Sharma, Jayant Sindhu, et al.
Journal of the Indian Chemical Society (2023) Vol. 100, Iss. 8, pp. 101052-101052
Closed Access | Times Cited: 4
CORAL: probing the structural requirements for α-amylase inhibition activity of 5-(3-arylallylidene)-2-(arylimino)thiazolidin-4-one derivatives based on QSAR with correlation intensity index, molecular docking, molecular dynamics, and ADMET studies
Rahul Singh, Parvin Kumar, Jayant Sindhu, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-18
Closed Access | Times Cited: 4
CORAL: Predictions of Quality of Rice Based on Retention Index Using a Combination of Correlation Intensity Index and Consensus Modelling
Parvin Kumar, Ashwani Kumar
Challenges and advances in computational chemistry and physics (2023), pp. 421-462
Closed Access | Times Cited: 1
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