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.

Requested Article:

The index of ideality of correlation improves the predictive potential of models of the antioxidant activity of tripeptides from frog skin (Litoria rubella)
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Computers in Biology and Medicine (2021) Vol. 133, pp. 104370-104370
Closed Access | Times Cited: 18

Showing 18 citing articles:

Dual function antioxidant and anti-inflammatory fish maw peptides: Isolation and structure-activity analysis via tandem molecular docking and quantum chemical calculation
Elliot Mubango, Zixin Fu, Peipei Dou, et al.
Food Chemistry (2024) Vol. 465, pp. 141970-141970
Closed Access | Times Cited: 5

QSRR modelling for the investigation of gas chromatography retention indices of flavour and fragrance compounds on Carbowax 20 ​M glass capillary column with the index of ideality of correlation and the consensus modelling
Ashwani Kumar, Parvin Kumar, Devender Singh
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104552-104552
Closed Access | Times Cited: 20

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: 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: 10

CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors
Shahin Ahmadi, Shahram Lotfi, Sara Afshari, et al.
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 12, pp. 1013-1031
Closed Access | Times Cited: 23

Peptidomics‐based identification of an antimicrobial peptide derived from goat milk fermented by Lactobacillus rhamnosus ( C25 )
Daraksha Iram, Uday Arun Kindarle, Manish Singh Sansi, et al.
Journal of Food Biochemistry (2022) Vol. 46, Iss. 12
Open Access | Times Cited: 12

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

Identifying the antioxidant activity of tripeptides based on sequence information and machine learning
Nanxiang Yang, Yongyan Pei, Yan Wang, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 238, pp. 104845-104845
Closed Access | Times Cited: 4

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

In silico development of novel angiotensin-converting-enzyme-I inhibitors by Monte Carlo optimization based QSAR modeling, molecular docking studies and ADMET predictions
Sandra Šarić, Tomislav Kostić, Milan Lović, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108167-108167
Closed Access | Times Cited: 1

In silico study of natural antioxidants
Shahin Ahmadi, Azizeh Abdolmaleki, Marjan Jebeli Javan
Vitamins and hormones (2022), pp. 1-43
Closed Access | Times Cited: 6

Does the accounting of the local symmetry fragments in SMILES improve the predictive potential of the QSPR-model for Henry's law constants?
Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, et al.
Environmental Science Advances (2023) Vol. 2, Iss. 6, pp. 916-921
Open Access | Times Cited: 3

Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives
Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, et al.
Molecules (2023) Vol. 28, Iss. 18, pp. 6587-6587
Open Access | Times Cited: 2

Semi-correlations as a tool to model for skin sensitization
Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati
Food and Chemical Toxicology (2021) Vol. 157, pp. 112580-112580
Closed Access | Times Cited: 5

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