Jayeshkumar Patel

519 citations
23 papers · 234 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Histone Deacetylase Inhibitors Research 2
    • Heat shock proteins research 1
    • Osteoarthritis Treatment and Mechanisms 2
    • Rheumatoid Arthritis Research and Therapies 2

Jayeshkumar Patel

21 papers receiving 231 citations

Peers

Jayeshkumar Patel
Comparison fields: 5 of 68
  • Developmental Neuroscience 8
  • Pathology and Forensic Medicine 32
  • Rheumatology 23
  • Oncology 41
  • Health Informatics 2
Replace Laure Grandin with:
Laure Grandin France
Sathej Gopalakrishnan United States
Chih-Hsun Yang Taiwan
R.G.P. Queiroz Brazil
О. В. Головенко Russia
Ann Fieuw Belgium
Jazmín Calyeca United States
Emily Van San Belgium
Alice Biffi Italy
W. Jeffrey Edenfield United States
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Citations per field
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Citations per year

Countries citing papers authored by Jayeshkumar Patel

Since Specialization
Citations

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

Fields of papers citing papers by Jayeshkumar Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jayeshkumar Patel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jayeshkumar Patel Line = papers co-authored together Jayeshkumar Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 201825
3 201522
4 201820
5 202120
6 202019
7 202018
8 202212
9 201912
10 19919
11 20217
12 20226
13 20216
14 20213
15 19863
16 20203
17 20252
18 20202
19 20222
20 20141

About Jayeshkumar Patel

Jayeshkumar Patel is a scholar working on Molecular Biology, Rheumatology, Public Health, Environmental and Occupational Health, Surgery and Pharmacology, having authored 23 papers that have together received 234 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (3 papers), Ubiquitin and proteasome pathways (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Peripheral Artery Disease Management (2 papers), Genetic and Environmental Crop Studies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Developmental Neuroscience (8 citations), Pathology and Forensic Medicine (32 citations), Rheumatology (23 citations), Oncology (41 citations) and Health Informatics (2 citations). Jayeshkumar Patel has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Leandro Cerchietti, Usha Sambamoorthi, Rossella Marullo, Peter Martin, John P. Leonard, Nilanjana Dwibedi, Kimberly M. Kelly, Benet Pera, Yves Paul Vincent Mbous and Michael J. Harrison. Their work appears in journals such as Rheumatology and Therapy, International Journal of Environmental Research and Public Health, Blood, Oncotarget and Journal of Human Behavior in the Social Environment.

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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