Jay Mehta

1.3k citations
69 papers · 919 · h-index 17

Impact in

Papers in

Jay Mehta

66 papers receiving 849 citations

Peers

Jay Mehta
Comparison fields: 5 of 83
  • Infectious Diseases 328
  • Microbiology 9
  • Epidemiology 264
  • Surgery 333
  • Small Animals 41
Replace Young‐Soo Shim with:
Young‐Soo Shim South Korea
Chul‐Gyu Yoo South Korea
Mohamed B. Satti Saudi Arabia
Ngoc Thai United States
Annette Jansson Germany
Yutaka Sugita Japan
Giovanna Melica France
Hans‐Heinrich Wolf Germany
J. S. Dummer United States
A. Marcos United States
Jay Mehta relative to Young‐Soo Shim South Korea Young‐Soo Shim's profile →
Citations per field
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Young‐Soo Shim · 1×
Citations per year

Countries citing papers authored by Jay Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Jay Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991213
2 199886
3 198740
4 201740
5 200739
6 200336
7 201426
8 199525
9 198823
10 199322
11 200320
12
Kinetics of paraprotein clearance after autografting for multiple myeloma.
199520
13 201419
14 201019
15 201318
16 199518
17 199218
18 202015
19 200215
20 200814

About Jay Mehta

Jay Mehta is a scholar working on Surgery, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Hematology, having authored 69 papers that have together received 919 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Mycobacterium research and diagnosis (8 papers), Infectious Diseases and Tuberculosis (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Tracheal and airway disorders (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Viral-associated cancers and disorders (4 papers) and Histiocytic Disorders and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (328 citations), Microbiology (9 citations), Epidemiology (264 citations), Surgery (333 citations) and Small Animals (41 citations). Jay Mehta has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Asim K. Dutt, Leo M. Harvill, Ryland P. Byrd, Thomas M. Roy, Felix A. Sarubbi, José E. Vasquez, Anita Borges, James W. Myers, Jonathan P. Moorman and Ramandeep Kaur. Their work appears in journals such as CHEST Journal, Spine, Southern Medical Journal, Oncotarget and Annals of Otology Rhinology & Laryngology.

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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