Hiren K. Patel

1.3k citations
26 papers · 831 indexed · h-index 13
Topics
Computational Drug Discovery Methods (4 papers)Lipid Membrane Structure and Behavior (4 papers)Antimicrobial Peptides and Activities (4 papers)
Journals
SHILAP Revista de lepidopterologíaChemosphereBiophysical Journal

In The Last Decade

Hiren K. Patel

26 papers receiving 799 citations

Peers

Hiren K. Patel
Comparison fields: 5 of 103
  • Pharmaceutical Science 224
  • Molecular Biology 211
  • Organic Chemistry 139
  • Dermatology 132
  • Computational Theory and Mathematics 127
Replace David T. Fox with:
David T. Fox United States
Sivakamavalli Jeyachandran India
Michio Sato Japan
David M. Yourtee United States
P.A. Cornwell United Kingdom
Thomas Schmidts Germany
Theresa L. Kern United States
Dzhigangir A. Faizullin Russia
Mi Sun China
Hiren K. Patel relative to David T. Fox United States David T. Fox's profile →
Citations per field
00.5×10.6×
David T. Fox · 1×
Citations per year

Countries citing papers authored by Hiren K. Patel

Since Specialization
Citations

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

Fields of papers citing papers by Hiren K. Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiren K. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Hiren K. Patel. A scholar is included among the top collaborators of Hiren K. 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 Hiren K. Patel. Hiren K. 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
#WorkIndexed citations
1 7
2 1
3 4
4 14
5 2
6 29
7 5
8 7
9 8
10 17
11 2
12 34
13 1
14 4
15 92
16 46
17 113
18 200
19 74
20 5

About Hiren K. Patel

Hiren K. Patel is a scholar working on Microbiology, Pharmaceutical Science and Biotechnology, having authored 26 papers that have together received 831 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Pharmaceutical Science (224 citations), Dermatology (132 citations) and Microbiology (78 citations). Hiren K. Patel has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include M Cronin, John C. Dearden, Heiko Heerklotz, Gary P. Moss, Wil ten Berge, Göran Karlsson, Katarina Edwards, T.W. Schultz, Mehul Khimani and Rohit L. Vekariya. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemosphere and Biophysical 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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