M. Cooke

98.1k total citations · 3 hit papers
55 papers, 7.7k citations indexed

About

M. Cooke is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, M. Cooke has authored 55 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Immunology and 11 papers in Genetics. Recurrent topics in M. Cooke's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (7 papers). M. Cooke is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (7 papers). M. Cooke collaborates with scholars based in United States, United Kingdom and Canada. M. Cooke's co-authors include Tim Wiltshire, Andrew I. Su, John R. Walker, Keith A. Ching, John B. Hogenesch, Serge Batalov, Jie Zhang, Hilmar Lapp, David E. Block and Gabriel Kreiman and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

M. Cooke

54 papers receiving 7.6k citations

Hit Papers

A gene atlas of the mouse and human protein-encoding tran... 2002 2026 2010 2018 2004 2002 2006 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Cooke United States 24 4.6k 2.4k 1.2k 869 680 55 7.7k
Renu A. Heller United States 26 3.9k 0.8× 1.8k 0.8× 611 0.5× 882 1.0× 995 1.5× 45 7.5k
Brent Cochran United States 32 5.6k 1.2× 1.9k 0.8× 993 0.8× 2.4k 2.8× 1.3k 1.9× 62 8.9k
Elspeth A. Bruford United Kingdom 35 5.5k 1.2× 1.1k 0.5× 1.4k 1.1× 783 0.9× 1.0k 1.5× 57 8.4k
Yvan de Launoit France 48 5.2k 1.1× 949 0.4× 1.5k 1.2× 1.3k 1.5× 1.2k 1.7× 161 8.1k
Saleh Ibrahim Germany 41 2.7k 0.6× 1.6k 0.7× 516 0.4× 783 0.9× 755 1.1× 202 5.9k
Keith A. Ching United States 24 6.6k 1.4× 1000 0.4× 1.4k 1.1× 894 1.0× 989 1.5× 45 8.8k
Tim Wiltshire United States 34 5.7k 1.2× 1.3k 0.5× 2.1k 1.7× 519 0.6× 704 1.0× 95 9.4k
Peter D’Eustachio United States 54 7.7k 1.7× 1.4k 0.6× 2.0k 1.7× 935 1.1× 635 0.9× 175 10.1k
Serge Batalov United States 33 6.1k 1.3× 1.3k 0.6× 1.6k 1.3× 714 0.8× 1.2k 1.7× 49 9.2k
Leonard Μ. Neckers United States 47 6.0k 1.3× 1.3k 0.5× 520 0.4× 1.2k 1.4× 1.3k 1.9× 100 8.1k

Countries citing papers authored by M. Cooke

Since Specialization
Citations

This map shows the geographic impact of M. Cooke'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 M. Cooke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Cooke more than expected).

Fields of papers citing papers by M. Cooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Cooke. 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 M. Cooke. The network helps show where M. Cooke may publish in the future.

Co-authorship network of co-authors of M. Cooke

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

All Works

20 of 20 papers shown
1.
Chiang, Chih-Yuan, Douglas Lane, Tim Hoffman, et al.. (2022). A Novel Toll-Like Receptor 2 Agonist Protects Mice in a Prophylactic Treatment Model Against Challenge With Bacillus anthracis. Frontiers in Microbiology. 13. 803041–803041. 2 indexed citations
2.
Humbert, Olivier, Kevin G. Haworth, Christina Ironside, et al.. (2020). Effective Multi-lineage Engraftment in a Mouse Model of Fanconi Anemia Using Non-genotoxic Antibody-Based Conditioning. Molecular Therapy — Methods & Clinical Development. 17. 455–464. 19 indexed citations
3.
Gonçalves, Ana Katherine, Megan D. Hoban, Jennifer Proctor, et al.. (2017). Phenotype Does Not Always Equal Function: HDAC Inhibitors and UM171, but Not SR1, Lead to Rapid Upregulation of CD90 on Non-Engrafting CD34+CD90-Negative Human Cells. Blood. 130(Suppl_1). 659–659. 1 indexed citations
4.
Xu, Xiaolu, Xinxin Wang, Serge Batalov, et al.. (2014). Mst1 Directs Myosin IIa Partitioning of Low and Higher Affinity Integrins during T Cell Migration. PLoS ONE. 9(8). e105561–e105561. 19 indexed citations
5.
Ramsey, Laura B., Amanda L. Vegoe, Andrew T. Miller, M. Cooke, & Michael A. Farrar. (2010). Tonic BCR signaling represses receptor editing via Raf- and calcium-dependent signaling pathways. Immunology Letters. 135(1-2). 74–77. 10 indexed citations
6.
Miller, Andrew T., et al.. (2009). Inositol 1,4,5-Trisphosphate 3-Kinase B Is a Negative Regulator of BCR Signaling That Controls B Cell Selection and Tolerance Induction. The Journal of Immunology. 182(8). 4696–4704. 17 indexed citations
7.
Miller, Andrew T., Philip P. Chamberlain, & M. Cooke. (2008). Beyond IP3: Roles for higher order inositol phosphates in immune cell signaling. Cell Cycle. 7(4). 463–467. 30 indexed citations
8.
Huang, Yina H., Juris A. Grasis, Andrew T. Miller, et al.. (2007). Positive Regulation of Itk PH Domain Function by Soluble IP 4. Science. 316(5826). 886–889. 71 indexed citations
9.
Bystrykh, Leonid, Ellen Weersing, Bert Dontje, et al.. (2005). Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'. Nature Genetics. 37(3). 225–232. 301 indexed citations
10.
Su, Andrew I., Tim Wiltshire, Serge Batalov, et al.. (2004). A gene atlas of the mouse and human protein-encoding transcriptomes. Proceedings of the National Academy of Sciences. 101(16). 6062–6067. 2820 indexed citations breakdown →
11.
Aza‐Blanc, Pedro, Christopher L. Cooper, Klaus W. Wagner, et al.. (2003). Identification of Modulators of TRAIL-Induced Apoptosis via RNAi-Based Phenotypic Screening. Molecular Cell. 12(3). 627–637. 271 indexed citations
12.
Cooke, M., et al.. (2002). Organic cooling fluids for the JET toroidal and divertor field coils. 29–32. 1 indexed citations
13.
Cooke, M., et al.. (1996). Fyn Can Partially Substitute for Lck in T Lymphocyte Development. Immunity. 5(5). 417–428. 190 indexed citations
14.
Goodnow, Christopher C., Jason G. Cyster, Suzanne B. Hartley, et al.. (1995). Self-Tolerance Checkpoints in B Lymphocyte Development. Advances in immunology. 59. 279–368. 255 indexed citations
15.
Ingraham, Christine A., et al.. (1992). Cell type and developmental regulation of the fyn proto-oncogene in neural retina.. PubMed. 7(1). 95–100. 20 indexed citations
16.
Cooke, M., et al.. (1991). Regulation of T cell receptor signaling by a src family protein-tyrosine kinase (p59fyn). Cell. 65(2). 281–291. 363 indexed citations
17.
Donoviel, Dorit, Paul E. Framson, C F Eldridge, et al.. (1988). Structural analysis and expression of the human thrombospondin gene promoter.. Journal of Biological Chemistry. 263(35). 18590–18593. 41 indexed citations
18.
Dohlman, J.G., M. Cooke, D G Payan, & E J Goetzl. (1985). Structural diversity of the fibroblast-activating factors generated by human blood monocytes and U937 cells.. The Journal of Immunology. 134(5). 3185–3192. 10 indexed citations
19.
Goetzl, Edward J., et al.. (1985). Endogenous somatostatin-like peptides of rat basophilic leukemia cells.. The Journal of Immunology. 135(4). 2707–2712. 44 indexed citations
20.
MEYNELL, E., et al.. (1971). Mixed infections with bacterial sex factors: sex pili of pure and mixed phenotype.. PubMed. 120(1). 3–8. 19 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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