Matthew W. Segar
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology
- Surgery
- Co-authors
- Ambarish PandeyKershaw V. PatelJustin L. GrodinYunlong LiuDuWayne L. WillettJaved ButlerHoracio CárdenasKenneth P. Nephew
- Topics
- Heart Failure Treatment and Management (24 papers)Cardiovascular Function and Risk Factors (21 papers)Diabetes Treatment and Management (14 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Matthew W. Segar
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Cardiology and Cardiovascular Medicine 755
- Molecular Biology 376
- Endocrinology, Diabetes and Metabolism 309
- Oncology 144
- Surgery 138
Countries citing papers authored by Matthew W. Segar
This map shows the geographic impact of Matthew W. Segar'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 W. Segar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew W. Segar more than expected).
Fields of papers citing papers by Matthew W. Segar
This network shows the impact of papers produced by Matthew W. Segar. 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 W. Segar. The network helps show where Matthew W. Segar may publish in the future.
Co-authorship network of co-authors of Matthew W. Segar
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew W. Segar. A scholar is included among the top collaborators of Matthew W. Segar 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 W. Segar. Matthew W. Segar 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 | 4 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 42 | |
| 16 | 72 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 120 |
About Matthew W. Segar
Matthew W. Segar is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (24 papers), Cardiovascular Function and Risk Factors (21 papers) and Diabetes Treatment and Management (14 papers). The work is most often cited by research in Health Informatics (59 citations), Cardiology and Cardiovascular Medicine (755 citations) and Geriatrics and Gerontology (93 citations). Matthew W. Segar has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Ambarish Pandey, Kershaw V. Patel, Justin L. Grodin, Yunlong Liu, DuWayne L. Willett, Javed Butler, Horacio Cárdenas, Kenneth P. Nephew, Daniela Matei and Jarett D. Berry. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.