Craig D. Williams
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pharmacology top 5%
- Molecular Biology
- Co-authors
- Michael PignoneRobert C. BeattySteven K. BakerPaul S PhillipsSilvio E. InzucchiM. Sue KirkmanRobert S. RosensonJohn A. Colwell
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (13 papers)Lipoproteins and Cardiovascular Health (10 papers)Diabetes Treatment and Management (5 papers)
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Craig D. Williams
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Cardiology and Cardiovascular Medicine 533
- Surgery 441
- Endocrinology, Diabetes and Metabolism 257
- Pharmacology 204
- Molecular Biology 154
Countries citing papers authored by Craig D. Williams
This map shows the geographic impact of Craig D. Williams'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 Craig D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig D. Williams more than expected).
Fields of papers citing papers by Craig D. Williams
This network shows the impact of papers produced by Craig D. Williams. 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 Craig D. Williams. The network helps show where Craig D. Williams may publish in the future.
Co-authorship network of co-authors of Craig D. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Craig D. Williams. A scholar is included among the top collaborators of Craig D. Williams 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 Craig D. Williams. Craig D. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 23 | |
| 3 | 75 | |
| 4 | 67 | |
| 5 | 17 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 45 | |
| 9 | 73 | |
| 10 | 2 | |
| 11 | 152 | |
| 12 | 56 | |
| 13 | 18 | |
| 14 | 8 | |
| 15 | 172 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 61 | |
| 20 | 3 |
About Craig D. Williams
Craig D. Williams is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Applied Microbiology and Biotechnology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (13 papers), Lipoproteins and Cardiovascular Health (10 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Internal Medicine (133 citations), Cardiology and Cardiovascular Medicine (533 citations) and Endocrinology, Diabetes and Metabolism (257 citations). Craig D. Williams has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Michael Pignone, Robert C. Beatty, Steven K. Baker, Paul S Phillips, Silvio E. Inzucchi, M. Sue Kirkman, Robert S. Rosenson, John A. Colwell, Debabrata Mukherjee and Mark J. Alberts. Their work appears in journals such as Circulation, Blood and Annals of Internal Medicine.
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.