Sapan Shah

620 total citations
19 papers, 137 citations indexed

About

Sapan Shah is a scholar working on Computational Theory and Mathematics, Molecular Biology and General Health Professions. According to data from OpenAlex, Sapan Shah has authored 19 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 4 papers in General Health Professions. Recurrent topics in Sapan Shah's work include Computational Drug Discovery Methods (8 papers), Diverse Scientific Research Studies (4 papers) and Analytical Methods in Pharmaceuticals (4 papers). Sapan Shah is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Diverse Scientific Research Studies (4 papers) and Analytical Methods in Pharmaceuticals (4 papers). Sapan Shah collaborates with scholars based in India, United States and Saudi Arabia. Sapan Shah's co-authors include Subhash R. Yende, Sumit Arora, Usha Y. Nayak, Chetan Hasmukh Mehta, Sami A. Al‐Hussain, Rahul D. Jawarkar, Vijay H. Masand, Nitin B. Charbe, Deepak K. Lokwani and Sandip D. Firke and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Journal of Biomolecular Structure and Dynamics.

In The Last Decade

Sapan Shah

16 papers receiving 131 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sapan Shah India 6 41 34 30 24 23 19 137
Saleh I. Alaqel Saudi Arabia 10 50 1.2× 95 2.8× 18 0.6× 23 1.0× 17 0.7× 21 355
Lygia Azevedo Marques Brazil 11 12 0.3× 109 3.2× 31 1.0× 35 1.5× 25 1.1× 15 329
Susmit Mhatre India 8 65 1.6× 72 2.1× 16 0.5× 14 0.6× 33 1.4× 14 374
Masaki Ichitani Japan 9 18 0.4× 72 2.1× 34 1.1× 19 0.8× 19 0.8× 28 374
Ibolya Fülöp Romania 11 8 0.2× 46 1.4× 32 1.1× 21 0.9× 10 0.4× 39 346
Chee‐Leong Kee Singapore 10 16 0.4× 119 3.5× 60 2.0× 46 1.9× 24 1.0× 19 398
Saurabh B. Ganorkar India 10 25 0.6× 52 1.5× 100 3.3× 59 2.5× 18 0.8× 29 313
M. Vijey Aanandhi India 10 43 1.0× 70 2.1× 48 1.6× 50 2.1× 20 0.9× 73 369
Mohammed Almaghrabi Saudi Arabia 11 37 0.9× 100 2.9× 21 0.7× 66 2.8× 10 0.4× 46 346
Gokul S. Talele India 11 17 0.4× 51 1.5× 64 2.1× 37 1.5× 31 1.3× 32 340

Countries citing papers authored by Sapan Shah

Since Specialization
Citations

This map shows the geographic impact of Sapan Shah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sapan Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sapan Shah more than expected).

Fields of papers citing papers by Sapan Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sapan Shah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sapan Shah. The network helps show where Sapan Shah may publish in the future.

Co-authorship network of co-authors of Sapan Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Sapan Shah. A scholar is included among the top collaborators of Sapan Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sapan Shah. Sapan Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ugale, Rajesh R., et al.. (2025). Plumbagin attenuates neuropathic pain via inhibition of spinal astrogliosis and modulation of hippocampal CA1 opioidergic receptors. Pharmacological Research - Modern Chinese Medicine. 16. 100679–100679. 1 indexed citations
2.
Shah, Sapan, et al.. (2025). A CASE OF METASTATIC PHEOCHROMOCYTOMA PRESENTING AS ALTERNATING VT STORM AND BRADYARRYTHMIA. Journal of the American College of Cardiology. 85(12). 3355–3355.
3.
Shah, Sapan, et al.. (2024). Multi-Target In-Silico modeling strategies to discover novel angiotensin converting enzyme and neprilysin dual inhibitors. Scientific Reports. 14(1). 15991–15991. 1 indexed citations
4.
Amnerkar, Nikhil D., Deepak K. Lokwani, Vinod G. Ugale, et al.. (2023). Identification of structural scaffold from interbioscreen (IBS) database to inhibit 3CLpro, PLpro, and RdRp of SARS-CoV-2 using molecular docking and dynamic simulation studies. Journal of Biomolecular Structure and Dynamics. 41(22). 13168–13179. 2 indexed citations
5.
Shah, Sapan, et al.. (2023). In silico study to recognize novel angiotensin-converting-enzyme-I inhibitors by 2D-QSAR and constraint-based molecular simulations. Journal of Biomolecular Structure and Dynamics. 42(5). 2211–2230. 4 indexed citations
7.
Shah, Sapan, et al.. (2022). 2D-QSAR Modeling of Chalcone Analogues as Angiotensin Converting Enzyme Inhibitor. Biointerface Research in Applied Chemistry. 13(4). 370–370. 3 indexed citations
8.
Yende, Subhash R., et al.. (2022). Ethnomedicinal and pharmacological potential of marine macroalgae for CNS disorders: An overview. 1–6. 1 indexed citations
9.
Shah, Sapan, et al.. (2021). Prospecting for Cressa cretica to treat COVID-19 via in silico molecular docking models of the SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 40(12). 5643–5652. 19 indexed citations
10.
Arora, Sumit, et al.. (2021). Novel Drug Delivery System of Phytopharmaceuticals: A Review. Current Traditional Medicine. 7(5). 2 indexed citations
11.
Shah, Sapan, et al.. (2021). 2D-QSAR Modeling of Quinazolinone Derivatives as Angiotensin II Type 1a Receptor Blockers. 7(2). 1–20. 2 indexed citations
12.
Shah, Sapan, et al.. (2021). Exploring the active constituents of Oroxylum indicum in intervention of novel coronavirus (COVID-19) based on molecular docking method. Network Modeling Analysis in Health Informatics and Bioinformatics. 10(1). 8–8. 18 indexed citations
13.
Yende, Subhash R., et al.. (2021). In silico prediction of phytoconstituents from Ehretia laevis targeting TNF-α in arthritis. Digital Chinese Medicine. 4(3). 180–190. 12 indexed citations
14.
Arora, Sumit, et al.. (2020). Identification of Potential Flavonoid Inhibitors of the SARS-CoV-2 Main Protease 6YNQ: A Molecular Docking Study. Digital Chinese Medicine. 3(4). 239–248. 29 indexed citations
15.
Shah, Sapan, et al.. (2012). Development of RP-HPLC Method for Simultaneous Estimation of Alprazolam and Fluoxetine Hydrochloride in Pharmaceutical Tablet Dosage Form. 5(7). 938–941. 2 indexed citations
16.
Shah, Sapan, et al.. (2012). Simultaneous Quantitative Analysis of Olmesartan Medoxomil and Amlodipine Besylate in Plasma by High-performance Liquid Chromatography Technique. Journal of Young Pharmacists. 4(2). 88–94. 34 indexed citations
17.
Shah, Sapan, et al.. (2012). Spectrophotometric Method for Simultaneous Estimation of Olmesartan Medoxomil and Amlodipine Besylate in Pharmaceutical Preparations. 5(7). 955–957. 1 indexed citations
18.
Shah, Sapan, et al.. (2012). Development of RP-HPLC Method for Simultaneous Estimation of Atorvastatin Calcium and Clopidogrel Bisulphate in a Pharmaceutical Capsule Dosage Form. 5(5). 641–644. 6 indexed citations
19.
Shah, Sapan, et al.. (2009). A Study: FII Flows in India. SSRN Electronic Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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