Matthew R. Clutter
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 5
- Protein Degradation and Inhibitors 2
-
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Co-authors
- Garry P. Nolan (7 shared papers)Peter O. Krutzik (5 shared papers)Wendy J. Fantl (1 shared paper)Sean C. Bendall (1 shared paper)Gregory K. Behbehani (1 shared paper)Angelica Trejo (1 shared paper)Phillip D. Holler (1 shared paper)David M. Kranz (1 shared paper)
- Journals
- Cytometry Part A (2 papers)ACS Chemical Biology (1 paper)The Journal of Immunology (1 paper)Nature Chemical Biology (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesPhilippinesSri Lanka
In The Last Decade
Matthew R. Clutter
17 papers receiving 732 citations
Peers
Comparison fields: 5 of 75
- Biophysics 132
- Immunology 226
- Molecular Biology 465
- Oncology 144
- Biological Psychiatry 8
Countries citing papers authored by Matthew R. Clutter
This map shows the geographic impact of Matthew R. Clutter'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 R. Clutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Clutter more than expected).
Fields of papers citing papers by Matthew R. Clutter
This network shows the impact of papers produced by Matthew R. Clutter. 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 R. Clutter. The network helps show where Matthew R. Clutter may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew R. Clutter, 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 | 2007 | 172 | |
| 2 | 2012 | 170 | |
| 3 | 2005 | 109 | |
| 4 | 2011 | 91 | |
| 5 | 2004 | 78 | |
| 6 | 2010 | 35 | |
| 7 | 2017 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 9 | |
| 11 | 2005 | 9 | |
| 12 | 2011 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2020 | 2 | |
| 17 | 2025 | 1 |
About Matthew R. Clutter
Matthew R. Clutter is a scholar working on Molecular Biology, Immunology, Oncology, Biophysics and Genetics, having authored 17 papers that have together received 744 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Cell Image Analysis Techniques (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Biophysics (132 citations), Immunology (226 citations), Molecular Biology (465 citations), Oncology (144 citations) and Biological Psychiatry (8 citations). Matthew R. Clutter has collaborated with scholars based in United States, Philippines and Sri Lanka. Frequent co-authors include Garry P. Nolan, Peter O. Krutzik, Wendy J. Fantl, Sean C. Bendall, Gregory K. Behbehani, Angelica Trejo, Phillip D. Holler, David M. Kranz, Lukasz K. Chlewicki and Garrett C. Heffner. Their work appears in journals such as Cytometry Part A, ACS Chemical Biology, The Journal of Immunology, Nature Chemical Biology and Drug Discovery Today Technologies.
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.