Matt Coban
Impact in
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- Protease and Inhibitor Mechanisms
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- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
Papers in
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- RNA and protein synthesis mechanisms 3
- Signaling Pathways in Disease 3
- Studies on Chitinases and Chitosanases 3
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- Protease and Inhibitor Mechanisms 11
- Co-authors
- Thomas R. Caulfield (14 shared papers)Evette S. Radisky (15 shared papers)Alexandra Hockla (9 shared papers)Derek C. Radisky (4 shared papers)Alireza Shoari (6 shared papers)Christine Mehner (3 shared papers)Paldeep S. Atwal (1 shared paper)Niv Papo (4 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Biomolecules (6 papers)The FASEB Journal (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesIsraelSweden
In The Last Decade
Matt Coban
23 papers receiving 273 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 52
- Oncology 57
- Computational Theory and Mathematics 28
- Immunology and Allergy 9
- Molecular Biology 108
Countries citing papers authored by Matt Coban
This map shows the geographic impact of Matt Coban'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 Matt Coban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Coban more than expected).
Fields of papers citing papers by Matt Coban
This network shows the impact of papers produced by Matt Coban. 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 Matt Coban. The network helps show where Matt Coban may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Coban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2024 | 27 | |
| 3 | 2019 | 27 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2019 | 21 | |
| 8 | 2020 | 19 | |
| 9 | Attacking COVID-19 Progression Using Multi-Drug Therapy for Synergetic Target Engagement. | 2021 | 17 |
| 10 | 2023 | 12 | |
| 11 | 2019 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Matt Coban
Matt Coban is a scholar working on Molecular Biology, Cancer Research, Oncology, Computational Theory and Mathematics and Biotechnology, having authored 27 papers that have together received 275 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Peptidase Inhibition and Analysis (10 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (3 papers), Signaling Pathways in Disease (3 papers), Studies on Chitinases and Chitosanases (3 papers), Galectins and Cancer Biology (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cancer Research (52 citations), Oncology (57 citations), Computational Theory and Mathematics (28 citations), Immunology and Allergy (9 citations) and Molecular Biology (108 citations). Matt Coban has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Thomas R. Caulfield, Evette S. Radisky, Alexandra Hockla, Derek C. Radisky, Alireza Shoari, Christine Mehner, Paldeep S. Atwal, Niv Papo, Murray L. Whitelaw and Patrick R. Blackburn. Their work appears in journals such as Journal of Biological Chemistry, Biomolecules, The FASEB Journal, Scientific Reports and Nature 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.