Jay Shah
Impact in
- Microbiology top 10%
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant responses to water stress
- Plant nutrient uptake and metabolism
Papers in
- Surgery 17
-
- Cardiac Valve Diseases and Treatments 5
- Co-authors
- Abir U. Igamberdiev (6 shared papers)Steven W. Pipe (2 shared papers)Randal J. Kaufman (1 shared paper)Jill A. Morris (1 shared paper)Kim H. Hebelstrup (3 shared papers)Rajkumar Doshi (12 shared papers)Lothar Willmitzer (1 shared paper)Kathrin Jahnke (1 shared paper)
- Journals
- The American Journal of Cardiology (6 papers)Heart & Lung (4 papers)Physiologia Plantarum (3 papers)Journal of Pediatric Urology (3 papers)Foot and Ankle Surgery (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Jay Shah
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Microbiology 46
- Plant Science 282
- Hematology 77
- Cardiology and Cardiovascular Medicine 117
- Surgery 230
Countries citing papers authored by Jay Shah
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
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-authors
The 25 scholars most cited alongside Jay Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 1998 | 127 | |
| 3 | 2009 | 77 | |
| 4 | 1993 | 77 | |
| 5 | 1997 | 55 | |
| 6 | 2012 | 55 | |
| 7 | 2009 | 49 | |
| 8 | 2013 | 36 | |
| 9 | 2017 | 32 | |
| 10 | 2014 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2013 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2017 | 26 | |
| 15 | 1993 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2013 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 17 |
About Jay Shah
Jay Shah is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant responses to water stress (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Acute Ischemic Stroke Management (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Hemoglobin structure and function (4 papers), Sports injuries and prevention (4 papers) and Urological Disorders and Treatments (3 papers). The work is most often cited by research in Microbiology (46 citations), Plant Science (282 citations), Hematology (77 citations), Cardiology and Cardiovascular Medicine (117 citations) and Surgery (230 citations). Jay Shah has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Abir U. Igamberdiev, Steven W. Pipe, Randal J. Kaufman, Jill A. Morris, Kim H. Hebelstrup, Rajkumar Doshi, Lothar Willmitzer, Kathrin Jahnke, Hermann Bauwe and Werner M. Kaiser. Their work appears in journals such as The American Journal of Cardiology, Heart & Lung, Physiologia Plantarum, Journal of Pediatric Urology and Foot and Ankle Surgery.
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.