Keval Patel

18 papers receiving 1.0k citations

Keval Patel's Hit Papers

Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246 2018 · 398 citations
3980+2+5Years since publication100200300

Peers

Keval Patel
Comparison fields: 5 of 76
  • Applied Microbiology and Biotechnology 110
  • Clinical Biochemistry 151
  • Cancer Research 286
  • Infectious Diseases 232
  • Molecular Medicine 56
Replace Jānis Gardovskis with:
Jānis Gardovskis Latvia
Thibaud Koessler Switzerland
S. Špánik Slovakia
Koichi Kitagawa Japan
Aaron Killian United States
Suzanne P. M. Lutgens Netherlands
Jamal Sarvari Iran
Sebastian Decker Germany
Michael A. Lew United States
Cindi Chen United States
Keval Patel relative to Jānis Gardovskis Latvia Jānis Gardovskis's profile →
Citations per field
00.5×3.0×
Jānis Gardovskis · 1×
Citations per year

Countries citing papers authored by Keval Patel

Since Specialization
Citations

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

Fields of papers citing papers by Keval Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keval 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 Keval Patel Line = papers co-authored together Keval Patel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246
Hit paper breakdown →
2018398
2 1996243
3 201789
4 199680
5 201253
6 199653
7 201552
8 201138
9 201611
10 20216
11 20215
12 20233
13 20223
14 20153
15 20162
16 20231
17 20151
18 20221
19 20250
20 20220

About Keval Patel

Keval Patel is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Urology, Psychiatry and Mental health and Infectious Diseases, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (4 papers), Sexual function and dysfunction studies (4 papers), Urinary Bladder and Prostate Research (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Cancer Genomics and Diagnostics (2 papers), Hormonal and reproductive studies (2 papers), Urological Disorders and Treatments (2 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (110 citations), Clinical Biochemistry (151 citations), Cancer Research (286 citations), Infectious Diseases (232 citations) and Molecular Medicine (56 citations). Keval Patel has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include David Landman, John Quale, Guillermo Saurina, Tim Forshew, Tomer Cooks, Vassilis G. Gorgoulis, James Morris, Ettore Appella, Ana I. Robles and Ioannis S. Pateras. Their work appears in journals such as Nature Communications, Journal of Clinical Microbiology, American Journal of Transplantation, Transplantation and Clinical Biochemistry.

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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