Mark M. Davis

112.9k total citations · 31 hit papers
584 papers, 73.0k citations indexed

About

Mark M. Davis is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark M. Davis has authored 584 papers receiving a total of 73.0k indexed citations (citations by other indexed papers that have themselves been cited), including 359 papers in Immunology, 128 papers in Molecular Biology and 96 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark M. Davis's work include T-cell and B-cell Immunology (266 papers), Immune Cell Function and Interaction (233 papers) and Immunotherapy and Immune Responses (134 papers). Mark M. Davis is often cited by papers focused on T-cell and B-cell Immunology (266 papers), Immune Cell Function and Interaction (233 papers) and Immunotherapy and Immune Responses (134 papers). Mark M. Davis collaborates with scholars based in United States, Canada and United Kingdom. Mark M. Davis's 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 and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mark M. Davis

568 papers receiving 70.8k citations

Hit Papers

A multidimensional approa... 1980 2026 1995 2010 1980 1996 1988 1999 1984 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark M. Davis 45.0k 19.1k 12.8k 9.0k 5.4k 584 73.0k
Lawrence Steinman 21.9k 0.5× 15.4k 0.8× 6.4k 0.5× 4.8k 0.5× 2.7k 0.5× 558 48.5k
James P. Allison 50.0k 1.1× 13.1k 0.7× 39.1k 3.1× 4.7k 0.5× 3.3k 0.6× 487 72.3k
Leroy Hood 19.9k 0.4× 43.1k 2.3× 6.8k 0.5× 9.2k 1.0× 3.1k 0.6× 730 75.8k
Tak W. Mak 34.0k 0.8× 49.6k 2.6× 22.6k 1.8× 3.6k 0.4× 7.3k 1.4× 710 96.1k
Carl H. June 40.7k 0.9× 24.4k 1.3× 52.4k 4.1× 3.1k 0.4× 3.9k 0.7× 657 85.8k
Irving L. Weissman 47.2k 1.0× 59.2k 3.1× 30.0k 2.3× 5.9k 0.7× 4.5k 0.8× 836 131.7k
Bryan Williams 14.8k 0.3× 17.9k 0.9× 6.9k 0.5× 2.5k 0.3× 6.2k 1.2× 906 61.1k
Robert C. Gallo 35.1k 0.8× 18.7k 1.0× 10.7k 0.8× 3.7k 0.4× 13.3k 2.5× 700 76.9k
H. Robson MacDonald 21.3k 0.5× 10.2k 0.5× 5.6k 0.4× 2.9k 0.3× 2.2k 0.4× 479 34.4k
Anthony S. Fauci 34.9k 0.8× 11.1k 0.6× 5.9k 0.5× 4.5k 0.5× 20.3k 3.8× 796 95.6k

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-authorship network of co-authors of Mark M. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Davis. A scholar is included among the top collaborators of Mark M. Davis 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 Mark M. Davis. Mark M. Davis 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.
Zhou, Xin, Xin Chen, Mark M. Davis, & M Snyder. (2025). Embracing Interpersonal Variability of Microbiome in Precision Medicine. PubMed. 5(1). 8–13. 1 indexed citations
2.
Sharma, Sachin, et al.. (2024). Resilience in the Internet of Medical Things: A Review and Case Study. Future Internet. 16(11). 430–430. 2 indexed citations
3.
Bruun, Theodora U. J., Nathanael A. Caveney, Leon Su, et al.. (2023). A structural blueprint for interleukin-21 signal modulation. Cell Reports. 42(6). 112657–112657. 6 indexed citations
4.
Foster, Carolyn C., et al.. (2023). Predictors for invasive home mechanical ventilation duration in bronchopulmonary dysplasia. Pediatric Pulmonology. 58(7). 2085–2093. 2 indexed citations
5.
Kuan, Rebecca, Elizabeth J. Phillips, S. Mallal, et al.. (2022). Expression of specific HLA class II alleles is associated with an increased risk for active tuberculosis and a distinct gene expression profile. HLA. 101(2). 124–137. 10 indexed citations
6.
Tomić, Adriana, Andrew J. Pollard, & Mark M. Davis. (2021). Systems Immunology: Revealing Influenza Immunological Imprint. Viruses. 13(5). 948–948. 7 indexed citations
7.
Tomić, Adriana, Levi Waldron, Ludwig Geistlinger, et al.. (2021). SIMON: Open-Source Knowledge Discovery Platform. Patterns. 2(1). 100178–100178. 6 indexed citations
8.
Higdon, Lauren E., Steven Schaffert, Maria E. Montez‐Rath, et al.. (2021). Functional Consequences of Memory Inflation after Solid Organ Transplantation. The Journal of Immunology. 207(8). 2086–2095. 3 indexed citations
9.
Davis, Mark M.. (2020). T cell analysis in vaccination. Current Opinion in Immunology. 65. 70–73. 7 indexed citations
10.
Liston, Dane & Mark M. Davis. (2017). Clinically Relevant Concentrations of Anticancer Drugs: A Guide for Nonclinical Studies. Clinical Cancer Research. 23(14). 3489–3498. 248 indexed citations
11.
Angel, Cesar J. Lopez, et al.. (2017). Phylogenetic analysis of the human antibody repertoire reveals quantitative signatures of immune senescence and aging. Proceedings of the National Academy of Sciences. 114(5). 1105–1110. 83 indexed citations
12.
Hansmann, Leo, Arnold Han, Livius Penter, Michaela Liedtke, & Mark M. Davis. (2017). Clonal Expansion and Interrelatedness of Distinct B-Lineage Compartments in Multiple Myeloma Bone Marrow. Cancer Immunology Research. 5(9). 744–754. 15 indexed citations
13.
Chen, Huabiao, Pedro A. Lamothe, Jian Zheng, et al.. (2017). T-Cell Receptor (TCR) Clonotype-Specific Differences in Inhibitory Activity of HIV-1 Cytotoxic T-Cell Clones Is Not Mediated by TCR Alone. Journal of Virology. 91(6). 9 indexed citations
14.
Huang, Jun, Xun Zeng, Natalia Sigal, et al.. (2016). Detection, phenotyping, and quantification of antigen-specific T cells using a peptide-MHC dodecamer. Proceedings of the National Academy of Sciences. 113(13). E1890–7. 78 indexed citations
15.
Hansmann, Leo, Lisa K. Blum, Chia‐Hsin Ju, et al.. (2015). Mass Cytometry Analysis Shows That a Novel Memory Phenotype B Cell Is Expanded in Multiple Myeloma. Cancer Immunology Research. 3(6). 650–660. 32 indexed citations
16.
Kay, Alexander, Julia Fukuyama, Natali Aziz, et al.. (2014). Enhanced natural killer-cell and T-cell responses to influenza A virus during pregnancy. Proceedings of the National Academy of Sciences. 111(40). 14506–14511. 63 indexed citations
17.
Weber, K. Scott, Qi-Jing Li, Stephen P. Persaud, et al.. (2012). Distinct CD4 + helper T cells involved in primary and secondary responses to infection. Proceedings of the National Academy of Sciences. 109(24). 9511–9516. 52 indexed citations
18.
Ueda, Hironori, Mary Morphew, J. Richard McIntosh, & Mark M. Davis. (2011). CD4 + T-cell synapses involve multiple distinct stages. Proceedings of the National Academy of Sciences. 108(41). 17099–17104. 86 indexed citations
19.
Lillemeier, Björn F., Janet R. Pfeiffer, Zurab Surviladze, Bridget S. Wilson, & Mark M. Davis. (2006). Plasma membrane-associated proteins are clustered into islands attached to the cytoskeleton. Proceedings of the National Academy of Sciences. 103(50). 18992–18997. 327 indexed citations
20.
Davis, Mark M. & William C. Ogden. (1997). QUILT. 92–98. 38 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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