Patsy Wang‐Iverson
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cancer, Lipids, and Metabolism
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Diabetes Management and Research 1
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- Lipid metabolism and disorders 5
- Co-authors
- W. Virgil Brown (7 shared papers)Henry N. Ginsberg (3 shared papers)Ngoc‐Anh Le (3 shared papers)Ira J. Goldberg (2 shared papers)J C Gibson (1 shared paper)A Rubinstein (1 shared paper)R A Norum (1 shared paper)Joyce Corey Gibson (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Annals of the New York Academy of Sciences (2 papers)Infection and Immunity (1 paper)Journal of Clinical Investigation (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Patsy Wang‐Iverson
11 papers receiving 545 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 258
- Cancer Research 136
- Cardiology and Cardiovascular Medicine 186
- Surgery 213
- Biochemistry 33
Countries citing papers authored by Patsy Wang‐Iverson
This map shows the geographic impact of Patsy Wang‐Iverson'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 Patsy Wang‐Iverson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patsy Wang‐Iverson more than expected).
Fields of papers citing papers by Patsy Wang‐Iverson
This network shows the impact of papers produced by Patsy Wang‐Iverson. 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 Patsy Wang‐Iverson. The network helps show where Patsy Wang‐Iverson may publish in the future.
Co-authors
The 20 scholars most cited alongside Patsy Wang‐Iverson, 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 | 1986 | 365 | |
| 2 | 1985 | 42 | |
| 3 | 1982 | 38 | |
| 4 | 1978 | 32 | |
| 5 | 1983 | 26 | |
| 6 | 1985 | 23 | |
| 7 | 1978 | 20 | |
| 8 | 1982 | 10 | |
| 9 | 1989 | 9 | |
| 10 | 1980 | 8 | |
| 11 | 1984 | 1 |
About Patsy Wang‐Iverson
Patsy Wang‐Iverson is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Immunology and Cancer Research, having authored 11 papers that have together received 574 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipid metabolism and disorders (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Protease and Inhibitor Mechanisms (2 papers), Immune Response and Inflammation (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (258 citations), Cancer Research (136 citations), Cardiology and Cardiovascular Medicine (186 citations), Surgery (213 citations) and Biochemistry (33 citations). Patsy Wang‐Iverson has collaborated with scholars based in United States. Frequent co-authors include W. Virgil Brown, Henry N. Ginsberg, Ngoc‐Anh Le, Ira J. Goldberg, J C Gibson, A Rubinstein, R A Norum, Joyce Corey Gibson, W. Virgil Brown and KB Pryzwansky. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences, Infection and Immunity, Journal of Clinical Investigation and Biochemical Journal.
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.