Jay M. Shah

426 citations
6 papers · 84 · h-index 4

Impact in

Papers in

    • Spine and Intervertebral Disc Pathology 3
    • Refrigeration and Air Conditioning Technologies 2
    • Heat Transfer and Optimization 1
    • Heat Transfer and Boiling Studies 1
    • Thermodynamic and Exergetic Analyses of Power and Cooling Systems 1

Jay M. Shah

5 papers receiving 82 citations

Peers

Jay M. Shah
Comparison fields: 5 of 22
  • Pathology and Forensic Medicine 40
  • Pharmacology 22
  • Mechanical Engineering 32
  • Surgery 23
  • Computational Theory and Mathematics 7
Replace Hampton with:
Hampton United Kingdom
Rupert Dietl Germany
Anastasia Grivoyannis United States
Zhuhai Li China
Kazuaki Mineta Japan
Peter McCombe Australia
Gregory G. Billy United States
Patrick S. McNulty United States
Christopher Murray United States
Reuben Chee Cheong Soh Singapore
Jay M. Shah relative to Hampton United Kingdom Hampton's profile →
Citations per field
00.5×
Hampton · 1×
Citations per year

Countries citing papers authored by Jay M. Shah

Since Specialization
Citations

This map shows the geographic impact of Jay M. 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 M. 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 M. Shah more than expected).

Fields of papers citing papers by Jay M. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jay M. 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 Jay M. Shah Line = papers co-authored together Jay M. Shah links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Jay M. Shah

Jay M. Shah is a scholar working on Pathology and Forensic Medicine, Mechanical Engineering, Public Health, Environmental and Occupational Health, Aerospace Engineering and Infectious Diseases, having authored 6 papers that have together received 84 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (3 papers), Refrigeration and Air Conditioning Technologies (2 papers), Heat Transfer and Optimization (1 paper), Heat Transfer and Boiling Studies (1 paper), Spacecraft and Cryogenic Technologies (1 paper), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (1 paper), Malaria Research and Control (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (40 citations), Pharmacology (22 citations), Mechanical Engineering (32 citations), Surgery (23 citations) and Computational Theory and Mathematics (7 citations). Jay M. Shah has collaborated with scholars based in United States and India. Frequent co-authors include J. C. Chato, Sayed Wahezi, Nogah Haramati, Sherry A. Downie, Natalie Strand, Timothy R. Deer, Jennifer M. Hah, Nestor Tomycz, Mark N. Malinowski and Jacqueline Weisbein. Their work appears in journals such as PM&R, Journal of Pain Research, International Journal of Heat and Mass Transfer and Plant/Operations Progress.

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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