Jay Shah

3.6k total citations · 2 hit papers
36 papers, 2.4k citations indexed

About

Jay Shah is a scholar working on Cell Biology, Surgery and Reproductive Medicine. According to data from OpenAlex, Jay Shah has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cell Biology, 12 papers in Surgery and 11 papers in Reproductive Medicine. Recurrent topics in Jay Shah's work include Myofascial pain diagnosis and treatment (25 papers), Endometriosis Research and Treatment (8 papers) and Medical research and treatments (7 papers). Jay Shah is often cited by papers focused on Myofascial pain diagnosis and treatment (25 papers), Endometriosis Research and Treatment (8 papers) and Medical research and treatments (7 papers). Jay Shah collaborates with scholars based in United States, Canada and Brazil. Jay Shah's co-authors include Lynn H. Gerber, Jerome Danoff, Terry M. Phillips, Elizabeth A. Gilliams, Jacqueline V. Aredo, Jan Dommerholt, Robert D. Gerwin, Siddhartha Sikdar, Sagar S. Parikh and Mehul J. Desai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Journal of Applied Physiology.

In The Last Decade

Jay Shah

32 papers receiving 2.3k citations

Hit Papers

Biochemicals Associated With Pain and Inflammation are El... 2008 2026 2014 2020 2008 2015 100 200 300 400

Peers

Jay Shah
Comparison fields: 5 of 84
  • Cell Biology 1.8k
  • Pharmacology 732
  • Complementary and Manual Therapy 592
  • Surgery 563
  • Complementary and alternative medicine 522
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Citations per field, relative to Jay Shah
Jay Shah · 1×
Citations per year, relative to Jay Shah
Jay Shah · 1×

Countries citing papers authored by Jay Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jay Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Shah. A scholar is included among the top collaborators of Jay Shah 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 Jay Shah. Jay Shah 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
# Work Indexed citations
1 2
2 2
3 11
4 14
5 0
6 0
7 14
8 2
9 150
10
Myofascial Trigger Points Then and Now: A Historical and Scientific Perspective breakdown →
281
11 144
12 74
13 14
14 12
15
Biochemicals Associated With Pain and Inflammation are Elevated in Sites Near to and Remote From Active Myofascial Trigger Points breakdown →
489
16 16
17 54
18 243
19 463
20 259

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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