Matthew R. Clutter

953 total citations
17 papers, 720 citations indexed

About

Matthew R. Clutter is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Matthew R. Clutter has authored 17 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Matthew R. Clutter's work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (3 papers) and T-cell and B-cell Immunology (3 papers). Matthew R. Clutter is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (3 papers) and T-cell and B-cell Immunology (3 papers). Matthew R. Clutter collaborates with scholars based in United States, Philippines and Japan. Matthew R. Clutter's co-authors include Garry P. Nolan, Peter O. Krutzik, Gregory K. Behbehani, Wendy J. Fantl, Sean C. Bendall, Angelica Trejo, David M. Kranz, Phillip D. Holler, Lukasz K. Chlewicki and Garrett C. Heffner and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Matthew R. Clutter

17 papers receiving 712 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew R. Clutter United States	10	462	243	152	126	106	17	720
Erica S. Savig United States	5	408 0.9×	147 0.6×	89 0.6×	129 1.0×	69 0.7×	5	545
Kevin R. Kupcho United States	10	481 1.0×	78 0.3×	104 0.7×	31 0.2×	51 0.5×	22	707
Susana Gordo United States	12	413 0.9×	400 1.6×	144 0.9×	20 0.2×	50 0.5×	14	913
Neetu Gupta United States	13	412 0.9×	276 1.1×	67 0.4×	19 0.2×	24 0.2×	31	779
Hersh K. Bhargava United States	6	171 0.4×	80 0.3×	176 1.2×	48 0.4×	81 0.8×	7	397
Lea Čerček United Kingdom	13	297 0.6×	89 0.4×	73 0.5×	76 0.6×	56 0.5×	41	575
Prerna Malaney United States	9	491 1.1×	70 0.3×	156 1.0×	17 0.1×	43 0.4×	19	718
Zheng Huang China	14	523 1.1×	205 0.8×	123 0.8×	23 0.2×	64 0.6×	29	1.1k
Adam A. Friedman United States	4	281 0.6×	39 0.2×	145 1.0×	28 0.2×	90 0.8×	6	506
Kelli M. Wilson United States	16	455 1.0×	58 0.2×	164 1.1×	31 0.2×	75 0.7×	41	768

Countries citing papers authored by Matthew R. Clutter

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew R. Clutter

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Clutter. A scholar is included among the top collaborators of Matthew R. Clutter 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 Matthew R. Clutter. Matthew R. Clutter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Izquierdo, Javier, Candice Mazewski, Elspeth M. Beauchamp, et al.. (2025). Discovery of Potent and Selective MNK Kinase Inhibitors for the Treatment of Leukemia. Journal of Medicinal Chemistry. 68(5). 5824–5844. 1 indexed citations

Watanabe, Jun, Matthew R. Clutter, Takahiro Sasaki, et al.. (2024). BET bromodomain inhibition potentiates radiosensitivity in models of H3K27-altered diffuse midline glioma. Journal of Clinical Investigation. 134(13). 4 indexed citations

Han, Ye, Matthew R. Clutter, Rama K. Mishra, et al.. (2022). Discovery of a small-molecule inhibitor of the TRIP8b–HCN interaction with efficacy in neurons. Journal of Biological Chemistry. 298(7). 102069–102069. 6 indexed citations

Kunder, Ratika, Sara F. Dunne, Byoung-Kyu Cho, et al.. (2021). Synergistic PIM kinase and proteasome inhibition as a therapeutic strategy for MYC-overexpressing triple-negative breast cancer. Cell chemical biology. 29(3). 358–372.e5. 14 indexed citations

Brockway, Sonia, et al.. (2020). Quantitative and multiplexed chemical-genetic phenotyping in mammalian cells with QMAP-Seq. Nature Communications. 11(1). 5722–5722. 2 indexed citations

Mishra, Rama K., Matthew R. Clutter, Ewa M. Kościuczuk, et al.. (2019). Discovery of novel Mnk inhibitors using mutation‐based induced‐fit virtual high‐throughput screening. Chemical Biology & Drug Design. 94(4). 1813–1823. 9 indexed citations

Mishra, Rama K., Matthew R. Clutter, Matthew J. O’Connor, et al.. (2019). Modeling MEK4 Kinase Inhibitors through Perturbed Electrostatic Potential Charges. Journal of Chemical Information and Modeling. 59(10). 4460–4466. 4 indexed citations

Schiltz, Gary E., Matthew R. Clutter, Rama K. Mishra, et al.. (2019). Synthesis and Biological Evaluation of 3‐Arylindazoles as Selective MEK4 Inhibitors. ChemMedChem. 14(6). 615–620. 13 indexed citations

Mishra, Rama K., Matthew R. Clutter, Aleksandar Antanasijevic, et al.. (2017). A Chemical Probe Strategy for Interrogating Inhibitor Selectivity Across the MEK Kinase Family. ACS Chemical Biology. 12(5). 1245–1256. 19 indexed citations

10.

Behbehani, Gregory K., Sean C. Bendall, Matthew R. Clutter, Wendy J. Fantl, & Garry P. Nolan. (2012). Single‐cell mass cytometry adapted to measurements of the cell cycle. Cytometry Part A. 81A(7). 552–566. 164 indexed citations

11.

Heffner, Garrett C., Matthew R. Clutter, Garry P. Nolan, & Irving L. Weissman. (2011). Novel Hematopoietic Progenitor Populations Revealed by Direct Assessment of GATA1 Protein Expression and cMPL Signaling Events. Stem Cells. 29(11). 1774–1782. 6 indexed citations

12.

Krutzik, Peter O., Matthew R. Clutter, Angelica Trejo, & Garry P. Nolan. (2011). Fluorescent Cell Barcoding for Multiplex Flow Cytometry. Current Protocols in Cytometry. 55(1). 6.31.1–6.31.15. 88 indexed citations

13.

Clutter, Matthew R., Garrett C. Heffner, Peter O. Krutzik, Kacey L. Sachen, & Garry P. Nolan. (2010). Tyramide signal amplification for analysis of kinase activity by intracellular flow cytometry. Cytometry Part A. 77A(11). 1020–1031. 33 indexed citations

14.

Krutzik, Peter O., et al.. (2007). High-content single-cell drug screening with phosphospecific flow cytometry. Nature Chemical Biology. 4(2). 132–142. 165 indexed citations

15.

Krutzik, Peter O., Matthew R. Clutter, & Garry P. Nolan. (2005). Coordinate Analysis of Murine Immune Cell Surface Markers and Intracellular Phosphoproteins by Flow Cytometry. The Journal of Immunology. 175(4). 2357–2365. 108 indexed citations

16.

Clutter, Matthew R., Peter O. Krutzik, & Garry P. Nolan. (2005). Phospho-specific flow cytometry in drug discovery. Drug Discovery Today Technologies. 2(3). 295–302. 8 indexed citations

17.

Chlewicki, Lukasz K., et al.. (2004). High-affinity, Peptide-specific T Cell Receptors can be Generated by Mutations in CDR1, CDR2 or CDR3. Journal of Molecular Biology. 346(1). 223–239. 76 indexed citations

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.

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