Matthew Sebas
Impact in
- Immunology top 10%
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
-
- Cardiac Fibrosis and Remodeling
Papers in
-
- Signaling Pathways in Disease 1
- Advanced biosensing and bioanalysis techniques 1
- Melanoma and MAPK Pathways 1
-
- Cardiac Fibrosis and Remodeling 3
- Co-authors
- Ralph Weissleder (5 shared papers)Filip K. Świrski (3 shared papers)Benoit Tricot (3 shared papers)Matthias Nahrendorf (3 shared papers)Gabriel Courties (3 shared papers)Yoshiko Iwamoto (3 shared papers)Timo Heidt (2 shared papers)Hendrik B. Sager (2 shared papers)
- Journals
- Journal of the American College of Cardiology (1 paper)Advanced Healthcare Materials (1 paper)Scientific Reports (1 paper)Circulation (1 paper)JACC Basic to Translational Science (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Matthew Sebas
6 papers receiving 565 citations
Peers
Comparison fields: 5 of 75
- Immunology 227
- Cardiology and Cardiovascular Medicine 237
- Biophysics 29
- Neurology 37
- Molecular Biology 268
Countries citing papers authored by Matthew Sebas
This map shows the geographic impact of Matthew Sebas'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 Sebas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Sebas more than expected).
Fields of papers citing papers by Matthew Sebas
This network shows the impact of papers produced by Matthew Sebas. 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 Sebas. The network helps show where Matthew Sebas may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Sebas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 227 | |
| 2 | 2015 | 196 | |
| 3 | 2016 | 90 | |
| 4 | 2014 | 43 | |
| 5 | 2016 | 7 | |
| 6 | 2014 | 4 |
About Matthew Sebas
Matthew Sebas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biophysics, Immunology and Cancer Research, having authored 6 papers that have together received 567 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Signaling Pathways in Disease (1 paper), Cell Image Analysis Techniques (1 paper), Cutaneous Melanoma Detection and Management (1 paper), MicroRNA in disease regulation (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Immunology (227 citations), Cardiology and Cardiovascular Medicine (237 citations), Biophysics (29 citations), Neurology (37 citations) and Molecular Biology (268 citations). Matthew Sebas has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ralph Weissleder, Filip K. Świrski, Benoit Tricot, Matthias Nahrendorf, Gabriel Courties, Yoshiko Iwamoto, Timo Heidt, Hendrik B. Sager, Partha Dutta and Gregory R. Wojtkiewicz. Their work appears in journals such as Journal of the American College of Cardiology, Advanced Healthcare Materials, Scientific Reports, Circulation and JACC Basic to Translational Science.
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.