Marlene S. Williams
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Hematology
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Dhananjay VaidyaPaul F. BrayRoy C. ZiegelsteinL E ScudderBarry S. CollerHeikki VäänänenSanjeev SharmaJonathan D. Marmur
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (18 papers)Acute Myocardial Infarction Research (9 papers)Cardiac Health and Mental Health (8 papers)
- Journals
- CirculationJournal of the American College of CardiologyArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Marlene S. Williams
36 papers receiving 480 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 266
- Surgery 139
- Hematology 63
- Radiology, Nuclear Medicine and Imaging 55
- Pulmonary and Respiratory Medicine 53
Countries citing papers authored by Marlene S. Williams
This map shows the geographic impact of Marlene S. 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 Marlene S. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene S. Williams more than expected).
Fields of papers citing papers by Marlene S. Williams
This network shows the impact of papers produced by Marlene S. 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 Marlene S. Williams. The network helps show where Marlene S. Williams may publish in the future.
Co-authorship network of co-authors of Marlene S. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Marlene S. Williams. A scholar is included among the top collaborators of Marlene S. 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 Marlene S. Williams. Marlene S. 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 37 | |
| 16 | 60 | |
| 17 | 13 | |
| 18 | 17 | |
| 19 | 8 | |
| 20 | 5 |
About Marlene S. Williams
Marlene S. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Hematology, having authored 39 papers that have together received 493 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (18 papers), Acute Myocardial Infarction Research (9 papers) and Cardiac Health and Mental Health (8 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Internal Medicine (45 citations) and Cardiology and Cardiovascular Medicine (266 citations). Marlene S. Williams has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Dhananjay Vaidya, Paul F. Bray, Roy C. Ziegelstein, L E Scudder, Barry S. Coller, Heikki Väänänen, Sanjeev Sharma, Jonathan D. Marmur, Nae‐Yuh Wang and Heather Rogers. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.
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.