Gerald F. Watts
- Surgery top 0.02%
- Endocrinology, Diabetes and Metabolism top 0.02%
- Cardiology and Cardiovascular Medicine top 0.1%
- Molecular Biology top 1%
- Cancer Research top 0.1%
- Co-authors
- Dick C. ChanP. Hugh R. BarrettLawrence J. BeilinTrevor A. MoriAmirhossein SahebkarIan B. PuddeyEsther OoiJing Pang
- Topics
- Lipoproteins and Cardiovascular Health (453 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (274 papers)Cancer, Lipids, and Metabolism (145 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Gerald F. Watts
861 papers receiving 35.0k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Surgery 16.0k
- Endocrinology, Diabetes and Metabolism 10.5k
- Cardiology and Cardiovascular Medicine 8.7k
- Molecular Biology 5.7k
- Cancer Research 4.9k
Countries citing papers authored by Gerald F. Watts
This map shows the geographic impact of Gerald F. Watts'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 Gerald F. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald F. Watts more than expected).
Fields of papers citing papers by Gerald F. Watts
This network shows the impact of papers produced by Gerald F. Watts. 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 Gerald F. Watts. The network helps show where Gerald F. Watts may publish in the future.
Co-authorship network of co-authors of Gerald F. Watts
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald F. Watts. A scholar is included among the top collaborators of Gerald F. Watts 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 Gerald F. Watts. Gerald F. Watts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 56 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 28 | |
| 15 | 118 | |
| 16 | The Agenda for Familial Hypercholesterolemiabreakdown → | 450 |
| 17 | 18 | |
| 18 | Platelets Amplify Inflammation in Arthritis via Collagen-Dependent Microparticle Productionbreakdown → | 860 |
| 19 | 320 | |
| 20 | 4 |
About Gerald F. Watts
Gerald F. Watts is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 887 papers that have together received 36.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (453 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (274 papers) and Cancer, Lipids, and Metabolism (145 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (10.5k citations), Cardiology and Cardiovascular Medicine (8.7k citations) and Surgery (16.0k citations). Gerald F. Watts has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Dick C. Chan, P. Hugh R. Barrett, Lawrence J. Beilin, Trevor A. Mori, Amirhossein Sahebkar, Ian B. Puddey, Esther Ooi, Jing Pang, Børge G. Nordestgaard and Anne Tybjærg‐Hansen. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.