M. Cooke
- Immunology top 1%
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 4
- Molecular Biology top 1%
- Gene expression and cancer classification 6
- RNA Interference and Gene Delivery 4
- Cancer Research top 2%
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals 5
- Immunology and Allergy top 2%
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Tim WiltshireAndrew I. SuJohn R. WalkerKeith A. ChingJohn B. HogeneschSerge BatalovJie ZhangHilmar Lapp
- Journals
- Blood (8 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
M. Cooke
54 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Immunology 2.4k
- Molecular Biology 4.6k
- Cancer Research 680
- Genetics 1.2k
- Immunology and Allergy 209
Countries citing papers authored by M. Cooke
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
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
The 25 scholars most cited alongside M. Cooke, 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 | 2022 | 2 | |
| 2 | 2020 | 19 | |
| 3 | 2015 | 23 | |
| 4 | 2014 | 19 | |
| 5 | 2010 | 61 | |
| 6 | 2008 | 30 | |
| 7 | 2007 | 71 | |
| 8 | 2006 | 186 | |
| 9 | The Unc93b1 mutation 3d disrupts exogenous antigen presentation and signaling via Toll-like receptors 3, 7 and 9breakdown → | 2006 | 553 |
| 10 | 2005 | 301 | |
| 11 | A gene atlas of the mouse and human protein-encoding transcriptomesbreakdown → | 2004 | 2820 |
| 12 | 2003 | 271 | |
| 13 | 2003 | 15 | |
| 14 | 2002 | 16 | |
| 15 | 2002 | 8 | |
| 16 | 1996 | 190 | |
| 17 | 1995 | 255 | |
| 18 | 1992 | 470 | |
| 19 | 1991 | 363 | |
| 20 | 1985 | 10 |
About M. Cooke
M. Cooke is a scholar working on Immunology, Hematology and Genetics, having authored 55 papers that have together received 7.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers), Gene expression and cancer classification (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), RNA Interference and Gene Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (4.6k citations) and Cancer Research (680 citations). M. Cooke has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent 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. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, The Journal of Immunology, Cell and Nature Genetics.
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.