Dhaval Patel

90 total papers · 874 total citations
51 papers, 563 citations indexed

About

Dhaval Patel is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Dhaval Patel has authored 51 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Infectious Diseases and 8 papers in Computational Theory and Mathematics. Recurrent topics in Dhaval Patel's work include Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (4 papers). Dhaval Patel is often cited by papers focused on Computational Drug Discovery Methods (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Clinical Research Studies (4 papers). Dhaval Patel collaborates with scholars based in India, United States and United Kingdom. Dhaval Patel's co-authors include Prakash C. Jha, Mohd Athar, Mili Das, Palak Patel, Nidhi Verma, Alok Pandya, Desh Deepak Singh, Suresh Kumar, Kunal R. Shah and Sonam Sinha and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dhaval Patel

46 papers receiving 548 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dhaval Patel 230 142 96 57 51 51 563
Ashish Kumar 164 0.7× 216 1.5× 78 0.8× 39 0.7× 19 0.4× 44 583
Francesca Alessandra Ambrosio 354 1.5× 174 1.2× 123 1.3× 35 0.6× 49 1.0× 38 687
Pawan Kumar 339 1.5× 105 0.7× 106 1.1× 23 0.4× 28 0.5× 56 639
Nguyen Thanh Nguyen 306 1.3× 48 0.3× 121 1.3× 36 0.6× 58 1.1× 29 685
Andrew P. Norgan 160 0.7× 59 0.4× 47 0.5× 28 0.5× 67 1.3× 51 580
Mihaela Ionescu 155 0.7× 83 0.6× 28 0.3× 37 0.6× 77 1.5× 87 688
Lu Fu 204 0.9× 89 0.6× 51 0.5× 36 0.6× 28 0.5× 40 620
Himanshu Narayan Singh 279 1.2× 146 1.0× 35 0.4× 24 0.4× 58 1.1× 49 670
Sharmila Anishetty 460 2.0× 109 0.8× 38 0.4× 42 0.7× 24 0.5× 33 631
Ikechukwu Achilonu 389 1.7× 114 0.8× 107 1.1× 12 0.2× 32 0.6× 71 687

Countries citing papers authored by Dhaval Patel

Since Specialization
Citations

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

Fields of papers citing papers by Dhaval Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhaval Patel

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

All Works

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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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