Chirag Patel

2.6k total citations
127 papers, 1.8k citations indexed

About

Chirag Patel is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Chirag Patel has authored 127 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 28 papers in Computational Theory and Mathematics and 22 papers in Organic Chemistry. Recurrent topics in Chirag Patel's work include Computational Drug Discovery Methods (28 papers), Molecular Sensors and Ion Detection (18 papers) and Synthesis and biological activity (14 papers). Chirag Patel is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Molecular Sensors and Ion Detection (18 papers) and Synthesis and biological activity (14 papers). Chirag Patel collaborates with scholars based in India, United States and United Kingdom. Chirag Patel's co-authors include Yogesh Kumar, Harvijay Singh, Krunal Modi, Himanshu Pandya, Andrew Scarsbrook, Sivakumar Prasanth Kumar, Rakesh Rawal, Geoffrey D Clarke, R H Lindenbaum and John T. Hughes and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chirag Patel

116 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chirag Patel India 23 534 385 335 216 175 127 1.8k
Isabel González‐Álvarez Spain 31 732 1.4× 226 0.6× 237 0.7× 213 1.0× 102 0.6× 143 3.2k
Eszter Hazai Hungary 23 801 1.5× 286 0.7× 307 0.9× 125 0.6× 113 0.6× 46 1.8k
Achintya Saha India 26 754 1.4× 782 2.0× 567 1.7× 110 0.5× 60 0.3× 154 2.3k
Ahmed H. Bakheit Saudi Arabia 30 1.5k 2.9× 159 0.4× 792 2.4× 227 1.1× 72 0.4× 145 2.7k
Ramesh Mullangi India 30 832 1.6× 163 0.4× 298 0.9× 568 2.6× 91 0.5× 222 3.0k
Aleksandar M. Veselinović Serbia 25 464 0.9× 727 1.9× 538 1.6× 111 0.5× 74 0.4× 93 1.6k
Ilza Pajeva Bulgaria 26 1.1k 2.0× 413 1.1× 368 1.1× 124 0.6× 381 2.2× 83 2.2k
N. S. Hari Narayana Moorthy India 25 855 1.6× 460 1.2× 950 2.8× 86 0.4× 92 0.5× 126 2.4k
Katrin Palm Sweden 8 1.1k 2.1× 619 1.6× 361 1.1× 519 2.4× 127 0.7× 9 3.2k
Yoshihiro Uesawa Japan 23 610 1.1× 326 0.8× 378 1.1× 86 0.4× 43 0.2× 167 1.8k

Countries citing papers authored by Chirag Patel

Since Specialization
Citations

This map shows the geographic impact of Chirag Patel'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 Chirag Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chirag Patel more than expected).

Fields of papers citing papers by Chirag Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chirag Patel. 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 Chirag Patel. The network helps show where Chirag Patel may publish in the future.

Co-authorship network of co-authors of Chirag Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Chirag Patel. A scholar is included among the top collaborators of Chirag Patel 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 Chirag Patel. Chirag Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cairns, James, Russell Frood, Chirag Patel, & Andrew Scarsbrook. (2025). The Role of AI in Lymphoma: An Update. Seminars in Nuclear Medicine. 55(3). 377–386. 3 indexed citations
2.
Luo, Weiming, David Tweedie, Cindy H. Chau, et al.. (2025). Monoterpenoid fluorophthalimide IMiDs that lack human cereblon binding: synthesis and anti-proliferative, anti-angiogenic and anti-inflammatory activities. Biochemical and Biophysical Research Communications. 779. 152428–152428.
3.
Patel, Chirag, et al.. (2022). Computational investigation of natural compounds as potential main protease (Mpro) inhibitors for SARS-CoV-2 virus. Computers in Biology and Medicine. 151(Pt A). 106318–106318. 22 indexed citations
4.
5.
Patel, Chirag, et al.. (2022). Excavating phytochemicals from plants possessing antiviral activities for identifying SARS-CoV hemagglutinin-esterase inhibitors by diligent computational workflow. Journal of Biomolecular Structure and Dynamics. 41(6). 2382–2397. 6 indexed citations
6.
Desai, Ajay A., Keyur Bhatt, Krunal Modi, Chirag Patel, & Shibu G. Pillai. (2022). Novel edifice calix[4]pyrrole derivatives as a potential sensor for the detection of analytes and in silico computational behaviour. Talanta Open. 5. 100115–100115. 6 indexed citations
7.
8.
El-hoshoudy, A.N., et al.. (2021). Berries anthocyanins as potential SARS-CoV–2 inhibitors targeting the viral attachment and replication; molecular docking simulation. Egyptian Journal of Petroleum. 30(1). 33–43. 26 indexed citations
9.
10.
Rolta, Rajan, Deeksha Salaria, Vikas Kumar, et al.. (2020). Molecular docking studies of phytocompounds of Rheum emodi Wall with proteins responsible for antibiotic resistance in bacterial and fungal pathogens: in silico approach to enhance the bio-availability of antibiotics. Journal of Biomolecular Structure and Dynamics. 40(8). 3789–3803. 29 indexed citations
11.
12.
Bhatt, Keyur, et al.. (2019). Calix[4]pyrrole virtuous sensor: a selective and sensitive recognition for Pb(II) ions by spectroscopic and computational study. Supramolecular chemistry. 31(4). 268–282. 14 indexed citations
13.
Patel, Chirag, et al.. (2017). The effect of bisphenol A on testicular steroidogenesis and its amelioration by quercetin: anin vivoandin silicoapproach. Toxicology Research. 7(1). 22–31. 26 indexed citations
14.
Patel, Chirag, et al.. (2012). Synthesis and Biological evaluation of substituted 4-Phenyl -1,3-Thiazolederivatives as potential Anti-Inflammatory agents. International Journal of Drug Development and Research. 4(1). 2 indexed citations
15.
Goli, Divakar, et al.. (2010). Cytotoxic and antiproliferative effects of hydroalcoholic extract of Hippophae rhamnoides Linn seeds against human leukemia cancer (HL-60) and BHK-21 normal cells.. Annals of biological research. 1(3). 190–199. 1 indexed citations
16.
Patel, Chirag, et al.. (2010). Synthesis and biological screening of picric acid & p-amino phenol derivatives for anti-microbial activity.. Journal of chemical and pharmaceutical research. 2(2). 1–12. 1 indexed citations
17.
Sen, Dhrubo Jyoti, et al.. (2010). Synthesis and antifungal screening of piperidone derivative with pyrazolone substituents.. Journal of chemical and pharmaceutical research. 2(2). 279–285. 1 indexed citations
18.
Patel, Chirag, et al.. (2009). Pharmacognostical studies on Lagenaria siceraria (Mol.) stand leaves.. International Journal of Chemical Sciences. 7(4). 2259–2264. 2 indexed citations
19.
Patel, Chirag & P. Chellapandi. (2008). Anaerobic digestion of cotton seed cake using developed mixed consortia.. Electronic journal of environmental, agricultural and food chemistry. 7(5). 3035–3046. 6 indexed citations
20.
Meera, R., et al.. (2007). Anti-inflammatory activity of Solena amplexicaulis.. IEEE Transactions on Biomedical Engineering. 2(3). 293–295. 1 indexed citations

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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