Dennis Colussi
- Molecular Biology
- Organic Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Physiology
- Hematology top 10%
- Co-authors
- Mark H. PerroneLinda MerkelValeria ChuKaren BrownJoseph P. VaccaShi‐Shan MaoRobert J. LeadleySteven S. Carroll
- Topics
- Blood Coagulation and Thrombosis Mechanisms (16 papers)Atrial Fibrillation Management and Outcomes (6 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers)
- Journals
- Journal of the American Chemical SocietyAnalytical BiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesSwitzerlandAlgeria
In The Last Decade
Dennis Colussi
42 papers receiving 781 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 328
- Organic Chemistry 236
- Computational Theory and Mathematics 214
- Physiology 142
- Hematology 140
Countries citing papers authored by Dennis Colussi
This map shows the geographic impact of Dennis Colussi'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 Dennis Colussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Colussi more than expected).
Fields of papers citing papers by Dennis Colussi
This network shows the impact of papers produced by Dennis Colussi. 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 Dennis Colussi. The network helps show where Dennis Colussi may publish in the future.
Co-authorship network of co-authors of Dennis Colussi
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Colussi. A scholar is included among the top collaborators of Dennis Colussi 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 Dennis Colussi. Dennis Colussi 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 | 3 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 49 | |
| 10 | 17 | |
| 11 | 35 | |
| 12 | 27 | |
| 13 | 36 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 23 | |
| 17 | 9 | |
| 18 | 19 | |
| 19 | 23 | |
| 20 | 13 |
About Dennis Colussi
Dennis Colussi is a scholar working on Hematology, Physiology and Internal Medicine, having authored 44 papers that have together received 827 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (16 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Computational Theory and Mathematics (214 citations), Hematology (140 citations) and Physiology (55 citations). Dennis Colussi has collaborated with scholars based in United States, Switzerland and Algeria. Frequent co-authors include Mark H. Perrone, Linda Merkel, Valeria Chu, Karen Brown, Joseph P. Vacca, Shi‐Shan Mao, Robert J. Leadley, Steven S. Carroll, Samuel Graham and Sanjeev Munshi. Their work appears in journals such as Journal of the American Chemical Society, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.