OpenAlex Citation Counts

OpenAlex Citations Logo

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 26-50 of 39 citing articles:

The System of Self-Consistent Models: QSAR Analysis of Drug-Induced Liver Toxicity
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxics (2023) Vol. 11, Iss. 5, pp. 419-419
Open Access | Times Cited: 4

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

Synthesis, molecular docking, and biological evaluation of 5‐alkyl(aryl)‐2‐isobutylthiazole derivatives: As α‐amylase, α‐glucosidase, and protein kinase inhibitors
Siraj Khan, Nesrin Buğday, Asim ur Rehman, et al.
Applied Organometallic Chemistry (2022) Vol. 36, Iss. 5
Closed Access | Times Cited: 8

The enhancement scheme for the predictive ability of QSAR: A case of mutagenicity
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxicology in Vitro (2023) Vol. 91, pp. 105629-105629
Closed Access | Times Cited: 3

Quantitative structure–activity relationship modeling for predication of inhibition potencies of imatinib derivatives using SMILES attributes
Hamideh Hamzehali, Shahram Lotfi, Shahin Ahmadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6

Does the accounting of the local symmetry fragments in quasi-SMILES improve the predictive potential of the QSAR models of toxicity toward tadpoles?
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Toxicology Mechanisms and Methods (2024) Vol. 34, Iss. 7, pp. 737-742
Open Access

Evaluation of novel pyridoxal isonicotinoyl hydrazone (PIH) derivatives as potential anti‐tuberculosis agents: An in silico investigation
Md Shamim Hossain, Sanaa S. Al Abbad, Zainab H. A. Alsunaidi, et al.
International Journal of Quantum Chemistry (2024) Vol. 124, Iss. 9
Closed Access

Synthesis, Urease Inhibitory Activity, Molecular Docking, Dynamics, MMGBSA and DFT Studies of Schiff Bases Bearing Benzimidazole Scaffold
Abdul Shakoor, Faheem Jan, Sudais Rahman, et al.
Chemistry & Biodiversity (2024)
Closed Access

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

Application of SMILES to Cheminformatics and Generation of Optimum SMILES Descriptors Using CORAL Software
Andrey A. Toropov, Alla P. Toropova
Challenges and advances in computational chemistry and physics (2023), pp. 57-82
Closed Access

Previous Page - Page 2

Scroll to top