James W. Wiggins
- Surgery top 1%
- Pulmonary and Respiratory Medicine top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 10%
- Biomedical Engineering top 10%
- Co-authors
- Mary P. GlodéJane C. BurnsJane W. NewburgerAlexa BeiserStanford T. ShulmanKyung J. ChungC. Elise DuffyDavid R. Fulton
- Topics
- Kawasaki Disease and Coronary Complications (9 papers)Congenital Heart Disease Studies (8 papers)Coronary Artery Anomalies (6 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
James W. Wiggins
47 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Surgery 2.2k
- Pulmonary and Respiratory Medicine 2.0k
- Cardiology and Cardiovascular Medicine 837
- Epidemiology 351
- Biomedical Engineering 329
Countries citing papers authored by James W. Wiggins
This map shows the geographic impact of James W. Wiggins'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 James W. Wiggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James W. Wiggins more than expected).
Fields of papers citing papers by James W. Wiggins
This network shows the impact of papers produced by James W. Wiggins. 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 James W. Wiggins. The network helps show where James W. Wiggins may publish in the future.
Co-authorship network of co-authors of James W. Wiggins
This figure shows the co-authorship network connecting the top 25 collaborators of James W. Wiggins. A scholar is included among the top collaborators of James W. Wiggins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James W. Wiggins. James W. Wiggins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 67 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | A Single Intravenous Infusion of Gamma Globulin as Compared with Four Infusions in the Treatment of Acute Kawasaki Syndromebreakdown → | 884 |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 50 | |
| 15 | 31 | |
| 16 | 14 | |
| 17 | 59 | |
| 18 | 139 | |
| 19 | 10 | |
| 20 | 30 |
About James W. Wiggins
James W. Wiggins is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 3.1k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (9 papers), Congenital Heart Disease Studies (8 papers) and Coronary Artery Anomalies (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.0k citations), Surgery (2.2k citations) and Cardiology and Cardiovascular Medicine (837 citations). James W. Wiggins has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mary P. Glodé, Jane C. Burns, Jane W. Newburger, Alexa Beiser, Stanford T. Shulman, Kyung J. Chung, C. Elise Duffy, David R. Fulton, Fred S. Rosen and Wilbert H. Mason. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.
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.