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
- Cancer therapeutics and mechanisms 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)Lukasz K. Chlewicki (1 shared paper)Phillip D. Holler (1 shared paper)
- Journals
- Cytometry Part A (2 papers)Stem Cells (1 paper)Nature Communications (1 paper)Journal of Clinical Investigation (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- United StatesPhilippinesJapan
In The Last Decade
Matthew R. Clutter
17 papers receiving 712 citations
Peers
Comparison fields: 5 of 77
- Biophysics 126
- Immunology 243
- Molecular Biology 462
- Oncology 152
- Biological Psychiatry 11
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 | 165 | |
| 2 | 2012 | 164 | |
| 3 | 2005 | 108 | |
| 4 | 2011 | 88 | |
| 5 | 2004 | 76 | |
| 6 | 2010 | 33 | |
| 7 | 2017 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2019 | 4 | |
| 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 720 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (3 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Biophysics (126 citations), Immunology (243 citations), Molecular Biology (462 citations), Oncology (152 citations) and Biological Psychiatry (11 citations). Matthew R. Clutter has collaborated with scholars based in United States, Philippines and Japan. Frequent co-authors include Garry P. Nolan, Peter O. Krutzik, Wendy J. Fantl, Sean C. Bendall, Gregory K. Behbehani, Angelica Trejo, Lukasz K. Chlewicki, Phillip D. Holler, David M. Kranz and Garrett C. Heffner. Their work appears in journals such as Cytometry Part A, Stem Cells, Nature Communications, Journal of Clinical Investigation and Current Protocols in Cytometry.
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.