Mark M. Davis

111.3k citations
555 papers · 74.3k · 29 hit papers · h-index 145

Impact in

  • Immunology top 0.01%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 0.05%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 266
    • Immune Cell Function and Interaction 230
    • Immunotherapy and Immune Responses 135
    • Immunodeficiency and Autoimmune Disorders 19
    • vaccines and immunoinformatics approaches 29

Mark M. Davis

535 papers receiving 71.5k citations

Mark M. Davis's Hit Papers

Hypoimmunogenic derivatives of induced pluripotent stem cells evade immune rejection in fully immunocompetent allogeneic recipients 2019 · 551 citations
5510+8+17Years since publication2505007501000

Peers

Mark M. Davis
Comparison fields: 5 of 226
  • Immunology 44.7k
  • Oncology 12.3k
  • Immunology and Allergy 2.6k
  • Radiology, Nuclear Medicine and Imaging 9.0k
  • Virology 1.8k
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Citations per field
00.5×2×2.8×
Leroy Hood · 1×
Citations per year

Countries citing papers authored by Mark M. Davis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark M. Davis Line = papers co-authored together Mark M. Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 555 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A multidimensional approach to individual differences in empathy
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19803784
2
Phenotypic Analysis of Antigen-Specific T Lymphocytes
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19963102
3
T-cell antigen receptor genes and T-cell recognition
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19882662
4
The Immunological Synapse: A Molecular Machine Controlling T Cell Activation
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19992598
5
Isolation of cDNA clones encoding T cell-specific membrane-associated proteins
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19841045
6
miR-181a Is an Intrinsic Modulator of T Cell Sensitivity and Selection
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20071009
7
Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients
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1999950
8
Clonal replacement of tumor-specific T cells following PD-1 blockade
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2019925
9
The presence of interleukin 4 during in vitro priming determines the lymphokine-producing potential of CD4+ T cells from T cell receptor transgenic mice.
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1992910
10
The Immunological Synapse
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2001811
11
LIGAND RECOGNITION BY αβ T CELL RECEPTORS
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1998790
12
An immunoglobulin heavy chain variable region gene is generated from three segments of DNA: VH, D and JH
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1980765
13
Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences
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2015739
14
Blimp-1, a novel zinc finger-containing protein that can drive the maturation of B lymphocytes into immunoglobulin-secreting cells
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1994648
15
Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses
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2013645
16
Sequence relationships between putative T-cell receptor polypeptides and immunoglobulins
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1984634
17
Diversity in the CDR3 Region of VH Is Sufficient for Most Antibody Specificities
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2000632
18
Direct observation of ligand recognition by T cells
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2002623
19
Identifying specificity groups in the T cell receptor repertoire
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2017618
20
Polymerase Chain Reaction with Single-Sided Specificity: Analysis of T Cell Receptor δ Chain
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1989583

About Mark M. Davis

Mark M. Davis is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 555 papers that have together received 74.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (266 papers), Immune Cell Function and Interaction (230 papers), Immunotherapy and Immune Responses (135 papers), Monoclonal and Polyclonal Antibodies Research (98 papers), CAR-T cell therapy research (56 papers), vaccines and immunoinformatics approaches (29 papers), Influenza Virus Research Studies (21 papers) and Immunodeficiency and Autoimmune Disorders (19 papers). The work is most often cited by research in Immunology (44.7k citations), Oncology (12.3k citations), Immunology and Allergy (2.6k citations), Radiology, Nuclear Medicine and Imaging (9.0k citations) and Virology (1.8k 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, Michael L. Dustin, Christoph Wülfing and Barbara Fazekas de St Groth. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Nature, Immunity 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.

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