Matthew L. Williams
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Carmelo A. MilanoWalter J. KochMark S. SlaughterJ. Scott RankinJames S. GammieJonathan A. HataJacob N. SchroderJaimin R. Trivedi
- Topics
- Cardiac Valve Diseases and Treatments (31 papers)Aortic Disease and Treatment Approaches (21 papers)Cardiac Structural Anomalies and Repair (19 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Matthew L. Williams
94 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 1.2k
- Surgery 951
- Pulmonary and Respiratory Medicine 520
- Molecular Biology 511
- Epidemiology 465
Countries citing papers authored by Matthew L. Williams
This map shows the geographic impact of Matthew L. 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 Matthew L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew L. Williams more than expected).
Fields of papers citing papers by Matthew L. Williams
This network shows the impact of papers produced by Matthew L. 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 Matthew L. Williams. The network helps show where Matthew L. Williams may publish in the future.
Co-authorship network of co-authors of Matthew L. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Williams. A scholar is included among the top collaborators of Matthew L. 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 Matthew L. Williams. Matthew L. 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 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 38 | |
| 7 | 28 | |
| 8 | 21 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 58 | |
| 13 | Let 'Em Work, Let 'Em Nurse: Accommodation for Breastfeeding Employees in West Virginia | 1 |
| 14 | 73 | |
| 15 | 24 | |
| 16 | 159 | |
| 17 | 27 | |
| 18 | 18 | |
| 19 | 61 | |
| 20 | 4 |
About Matthew L. Williams
Matthew L. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (31 papers), Aortic Disease and Treatment Approaches (21 papers) and Cardiac Structural Anomalies and Repair (19 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Surgery (951 citations) and Periodontics (85 citations). Matthew L. Williams has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Carmelo A. Milano, Walter J. Koch, Mark S. Slaughter, J. Scott Rankin, James S. Gammie, Jonathan A. Hata, Jacob N. Schroder, Jaimin R. Trivedi, Vinod H. Thourani and Madhav Swaminathan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.