Mark M. Davis
Impact in
- Immunology top 0.01%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 0.05%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 368
- T-cell and B-cell Immunology 269
- Immune Cell Function and Interaction 235
- Immunotherapy and Immune Responses 140
- Immunodeficiency and Autoimmune Disorders 21
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- Monoclonal and Polyclonal Antibodies Research 103
- Co-authors
- Pamela J. Björkman (7 shared papers)Yueh‐hsiu Chien (40 shared papers)Johannes B. Huppa (20 shared papers)J. Jay Boniface (19 shared papers)Cenk Sumen (11 shared papers)John D. Altman (14 shared papers)Michael G. McHeyzer‐Williams (6 shared papers)Christoph Wülfing (12 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (56 papers)Nature (38 papers)Immunity (36 papers)The Journal of Immunology (34 papers)The Journal of Experimental Medicine (26 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mark M. Davis
587 papers receiving 82.2k citations
Mark M. Davis's Hit Papers
Peers
Comparison fields: 5 of 228
- Immunology 48.6k
- Oncology 14.5k
- Immunology and Allergy 2.7k
- Virology 2.1k
- Radiology, Nuclear Medicine and Imaging 9.5k
Countries citing papers authored by Mark M. Davis
This map shows the geographic impact of Mark M. Davis'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 Mark M. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark M. Davis more than expected).
Fields of papers citing papers by Mark M. Davis
This network shows the impact of papers produced by Mark M. Davis. 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 Mark M. Davis. The network helps show where Mark M. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark M. Davis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 604 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A multidimensional approach to individual differences in empathy Hit paper breakdown → | 1980 | 3761 |
| 2 | Phenotypic Analysis of Antigen-Specific T Lymphocytes Hit paper breakdown → | 1996 | 3183 |
| 3 | T-cell antigen receptor genes and T-cell recognition Hit paper breakdown → | 1988 | 2703 |
| 4 | The Immunological Synapse: A Molecular Machine Controlling T Cell Activation Hit paper breakdown → | 1999 | 2632 |
| 5 | Organoid Modeling of the Tumor Immune Microenvironment Hit paper breakdown → | 2018 | 1215 |
| 6 | Clonal replacement of tumor-specific T cells following PD-1 blockade Hit paper breakdown → | 2019 | 1151 |
| 7 | Isolation of cDNA clones encoding T cell-specific membrane-associated proteins Hit paper breakdown → | 1984 | 1052 |
| 8 | miR-181a Is an Intrinsic Modulator of T Cell Sensitivity and Selection Hit paper breakdown → | 2007 | 1017 |
| 9 | Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients Hit paper breakdown → | 1999 | 971 |
| 10 | The presence of interleukin 4 during in vitro priming determines the lymphokine-producing potential of CD4+ T cells from T cell receptor transgenic mice. Hit paper breakdown → | 1992 | 913 |
| 11 | Multiple early factors anticipate post-acute COVID-19 sequelae Hit paper breakdown → | 2022 | 817 |
| 12 | The Immunological Synapse Hit paper breakdown → | 2001 | 810 |
| 13 | Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences Hit paper breakdown → | 2015 | 808 |
| 14 | LIGAND RECOGNITION BY αβ T CELL RECEPTORS Hit paper breakdown → | 1998 | 799 |
| 15 | An immunoglobulin heavy chain variable region gene is generated from three segments of DNA: VH, D and JH Hit paper breakdown → | 1980 | 759 |
| 16 | Identifying specificity groups in the T cell receptor repertoire Hit paper breakdown → | 2017 | 725 |
| 17 | Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer’s disease Hit paper breakdown → | 2020 | 718 |
| 18 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses Hit paper breakdown → | 2013 | 712 |
| 19 | Diversity in the CDR3 Region of VH Is Sufficient for Most Antibody Specificities Hit paper breakdown → | 2000 | 663 |
| 20 | 1994 | 659 |
About Mark M. Davis
Mark M. Davis is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology and Infectious Diseases, having authored 604 papers that have together received 85.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (269 papers), Immune Cell Function and Interaction (235 papers), Immunotherapy and Immune Responses (140 papers), Monoclonal and Polyclonal Antibodies Research (103 papers), CAR-T cell therapy research (62 papers), vaccines and immunoinformatics approaches (31 papers), Influenza Virus Research Studies (22 papers) and Immunodeficiency and Autoimmune Disorders (21 papers). The work is most often cited by research in Immunology (48.6k citations), Oncology (14.5k citations), Immunology and Allergy (2.7k citations), Virology (2.1k citations) and Radiology, Nuclear Medicine and Imaging (9.5k citations). Mark M. Davis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Pamela J. Björkman, Yueh‐hsiu Chien, Johannes B. Huppa, J. Jay Boniface, Cenk Sumen, John D. Altman, Michael G. McHeyzer‐Williams, Christoph Wülfing, Michael Loran Dustin and Barbara Fazekas de St Groth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Immunity, The Journal of Immunology and The Journal of Experimental Medicine.
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.