Caroline Chapman
- Epidemiology top 10%
- Molecular Biology
- Immunology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- John BeilbyJoseph HungB. McQuillanPeter L. ThompsonLyle J. PalmerRobert A. DunstanDavid JoskePamela A. McCaskie
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (7 papers)Atherosclerosis and Cardiovascular Diseases (4 papers)Inflammasome and immune disorders (4 papers)
- Journals
- Journal of Clinical InvestigationJournal of Clinical OncologyJournal of the American College of Cardiology
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Caroline Chapman
24 papers receiving 772 citations
Peers
Comparison fields: 5 of 75
- Epidemiology 314
- Molecular Biology 230
- Immunology 228
- Cardiology and Cardiovascular Medicine 205
- Endocrinology, Diabetes and Metabolism 144
Countries citing papers authored by Caroline Chapman
This map shows the geographic impact of Caroline Chapman'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 Caroline Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Chapman more than expected).
Fields of papers citing papers by Caroline Chapman
This network shows the impact of papers produced by Caroline Chapman. 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 Caroline Chapman. The network helps show where Caroline Chapman may publish in the future.
Co-authorship network of co-authors of Caroline Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Chapman. A scholar is included among the top collaborators of Caroline Chapman 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 Caroline Chapman. Caroline Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 26 | |
| 9 | 18 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 21 | |
| 13 | 197 | |
| 14 | 2 | |
| 15 | 42 | |
| 16 | 52 | |
| 17 | 52 | |
| 18 | 44 | |
| 19 | 33 | |
| 20 | 5 |
About Caroline Chapman
Caroline Chapman is a scholar working on Aging, Biochemistry and Immunology, having authored 25 papers that have together received 786 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Inflammasome and immune disorders (4 papers). The work is most often cited by research in Immunology (228 citations), Epidemiology (314 citations) and Cardiology and Cardiovascular Medicine (205 citations). Caroline Chapman has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John Beilby, Joseph Hung, B. McQuillan, Peter L. Thompson, Lyle J. Palmer, Robert A. Dunstan, David Joske, Pamela A. McCaskie, Peter J. Morris and D.S. Latchman. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology 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.