Jaymin Shah

1.1k citations
37 papers · 912 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

Jaymin Shah

33 papers receiving 852 citations

Peers

Jaymin Shah
Comparison fields: 5 of 99
  • Virology 144
  • Infectious Diseases 354
  • Pharmaceutical Science 60
  • Hepatology 68
  • Pediatrics, Perinatology and Child Health 152
Replace Herta Crauwels with:
Herta Crauwels Belgium
Paolo Baroldi Italy
Stéphanie Chhun France
Marc De Meulder Belgium
Nahal Ketabi‐Kiyanvash Germany
Belle L. Lee United States
Bertrand Diquet France
Gary L. Lensmeyer United States
Steven J. Soldin Canada
Toni M Dando New Zealand
Jaymin Shah relative to Herta Crauwels Belgium Herta Crauwels's profile →
Citations per field
00.5×1.5×
Herta Crauwels · 1×
Citations per year

Countries citing papers authored by Jaymin Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jaymin Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004385
2 200662
3 199946
4 199035
5 199135
6 200432
7 202328
8 200525
9 199425
10 200524
11 200523
12 200521
13 200421
14 198719
15 200618
16 202316
17 201112
18 199911
19 199810
20 199010

About Jaymin Shah

Jaymin Shah is a scholar working on Pediatrics, Perinatology and Child Health, Pharmaceutical Science, Infectious Diseases, Oncology and Pharmacology, having authored 37 papers that have together received 912 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Epilepsy research and treatment (4 papers), HIV/AIDS drug development and treatment (4 papers), Drug Solubulity and Delivery Systems (3 papers), Analytical Chemistry and Chromatography (3 papers), Advanced Drug Delivery Systems (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Virology (144 citations), Infectious Diseases (354 citations), Pharmaceutical Science (60 citations), Hepatology (68 citations) and Pediatrics, Perinatology and Child Health (152 citations). Jaymin Shah has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Brian P. Kearney, John F. Flaherty, Isabelle Ragueneau‐Majlessi, René H. Levy, Lijie Zhong, Philip Teitelbaum, William D. Mason, L Groves, M.K. Shellenberger and Kitty Yale. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Drug Metabolism and Disposition, Clinical Therapeutics and Analytical Letters.

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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