Shaw‐Yung Shai
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- Growth Hormone and Insulin-like Growth Factors 6
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- Lipid metabolism and disorders 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 5
- Aging top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
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- Protein Hydrolysis and Bioactive Peptides 6
- Angiogenesis and VEGF in Cancer 4
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- Nitric Oxide and Endothelin Effects 4
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Yusuke HigashiPatrice DelafontaineSergiy SukhanovKenneth E. BernsteinKimberly G. LangfordTom E. HowardBrian M. MartinCharlotte Vaughn
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineImmunology and Allergy
- Journals
- Journal of Biological Chemistry (2 papers)Circulation (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Shaw‐Yung Shai
28 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 481
- Cardiology and Cardiovascular Medicine 506
- Immunology and Allergy 124
- Aging 29
- Cancer Research 187
Countries citing papers authored by Shaw‐Yung Shai
This map shows the geographic impact of Shaw‐Yung Shai'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 Shaw‐Yung Shai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaw‐Yung Shai more than expected).
Fields of papers citing papers by Shaw‐Yung Shai
This network shows the impact of papers produced by Shaw‐Yung Shai. 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 Shaw‐Yung Shai. The network helps show where Shaw‐Yung Shai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaw‐Yung Shai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 24 | |
| 2 | 2018 | 27 | |
| 3 | 2016 | 99 | |
| 4 | 2014 | 83 | |
| 5 | 2014 | 48 | |
| 6 | 2014 | 21 | |
| 7 | 2012 | 165 | |
| 8 | 2011 | 27 | |
| 9 | 2011 | 52 | |
| 10 | 2010 | 105 | |
| 11 | 2010 | 61 | |
| 12 | 2002 | 5 | |
| 13 | 2002 | 67 | |
| 14 | 1995 | 72 | |
| 15 | 1995 | 88 | |
| 16 | 1993 | 7 | |
| 17 | 1992 | 5 | |
| 18 | 1992 | 48 | |
| 19 | 1990 | 34 | |
| 20 | 1989 | 18 |
About Shaw‐Yung Shai
Shaw‐Yung Shai is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Cell Adhesion Molecules Research (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lipid metabolism and disorders (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (481 citations), Cardiology and Cardiovascular Medicine (506 citations) and Immunology and Allergy (124 citations). Shaw‐Yung Shai has collaborated with scholars based in United States and Japan. Frequent co-authors include Yusuke Higashi, Patrice Delafontaine, Sergiy Sukhanov, Kenneth E. Bernstein, Kimberly G. Langford, Tom E. Howard, Brian M. Martin, Charlotte Vaughn, Bradford C. Berk and Robert Fishel. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
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.