Marlene S. Williams

3.4k total citations
39 papers, 493 citations indexed

About

Marlene S. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marlene S. Williams has authored 39 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marlene S. Williams's work include Antiplatelet Therapy and Cardiovascular Diseases (18 papers), Acute Myocardial Infarction Research (9 papers) and Cardiac Health and Mental Health (8 papers). Marlene S. Williams is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (18 papers), Acute Myocardial Infarction Research (9 papers) and Cardiac Health and Mental Health (8 papers). Marlene S. Williams collaborates with scholars based in United States, United Kingdom and Austria. Marlene S. Williams's 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 and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Marlene S. Williams

36 papers receiving 480 citations

Peers

Marlene S. Williams
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
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Angelia Kirkpatrick United States
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Chia‐Yu Hsu Taiwan
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R H Christenson United States
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Citations per field, relative to Marlene S. Williams
Marlene S. Williams · 1×
Citations per year, relative to Marlene S. Williams
Marlene S. Williams · 1×

Countries citing papers authored by Marlene S. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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