Eva E. Chin
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in ⓘ
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- Vector-Borne Animal Diseases 4
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- Animal Disease Management and Epidemiology 4
- Co-authors
- Peter Zimmerman (3 shared papers)Edward G. Grant (1 shared paper)Joseph D. Rosenblatt (4 shared papers)Arthur H. Friedlander (3 shared papers)John D. Baker (1 shared paper)Neal R. Garrett (2 shared papers)Priscilla Swanson (3 shared papers)Hwankyu Lee (2 shared papers)
- Journals
- Blood (1 paper)The Lancet (1 paper)Neurology (1 paper)The Journal of the American Dental Association (1 paper)Virology (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Eva E. Chin
9 papers receiving 280 citations
Peers
Comparison fields: 5 of 44
- Internal Medicine 71
- Agronomy and Crop Science 121
- Immunology 139
- Ecology, Evolution, Behavior and Systematics 109
- Emergency Medical Services 40
Countries citing papers authored by Eva E. Chin
This map shows the geographic impact of Eva E. Chin'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 Eva E. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva E. Chin more than expected).
Fields of papers citing papers by Eva E. Chin
This network shows the impact of papers produced by Eva E. Chin. 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 Eva E. Chin. The network helps show where Eva E. Chin may publish in the future.
Co-authors
The 24 scholars most cited alongside Eva E. Chin, 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 | 2005 | 88 | |
| 2 | 1990 | 78 | |
| 3 | 2005 | 51 | |
| 4 | 1991 | 32 | |
| 5 | 1990 | 29 | |
| 6 | 1989 | 9 | |
| 7 | 2009 | 6 | |
| 8 | 2013 | 5 | |
| 9 | 2004 | 2 | |
| 10 | 2008 | 0 |
About Eva E. Chin
Eva E. Chin is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Immunology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), T-cell and Retrovirus Studies (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Liver Disease and Transplantation (2 papers) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Internal Medicine (71 citations), Agronomy and Crop Science (121 citations), Immunology (139 citations), Ecology, Evolution, Behavior and Systematics (109 citations) and Emergency Medical Services (40 citations). Eva E. Chin has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Peter Zimmerman, Edward G. Grant, Joseph D. Rosenblatt, Arthur H. Friedlander, John D. Baker, Neal R. Garrett, Priscilla Swanson, Hwankyu Lee, Dina Meytes and Yechezkel Sidi. Their work appears in journals such as Blood, The Lancet, Neurology, The Journal of the American Dental Association and Virology.
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.