William Martin

7.2k total citations · 1 hit paper
152 papers, 5.7k citations indexed

About

William Martin is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William Martin has authored 152 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 73 papers in Immunology and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William Martin's work include vaccines and immunoinformatics approaches (59 papers), Immunotherapy and Immune Responses (35 papers) and Monoclonal and Polyclonal Antibodies Research (32 papers). William Martin is often cited by papers focused on vaccines and immunoinformatics approaches (59 papers), Immunotherapy and Immune Responses (35 papers) and Monoclonal and Polyclonal Antibodies Research (32 papers). William Martin collaborates with scholars based in United States, Switzerland and Japan. William Martin's co-authors include Anne S. De Groot, Leonard Moise, Luc Van Kaer, Sanjeev Kumar Mendiratta, Julie A. McMurry, Frances Terry, Seokmann Hong, Sebastian Joyce, Alina C. Boesteanu and Andrés H. Gutiérrez and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William Martin

149 papers receiving 5.5k citations

Hit Papers

CD1d1 Mutant Mice Are Deficient in Natural T Cells That P... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers

William Martin
Robert M. Anthony United States
Elizabeth Mellins United States
Paul A. Roche United States
Harry W. Schroeder United States
Robert M. Anthony United States
William Martin
Citations per year, relative to William Martin William Martin (= 1×) peers Robert M. Anthony

Countries citing papers authored by William Martin

Since Specialization
Citations

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

Fields of papers citing papers by William Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Martin

This figure shows the co-authorship network connecting the top 25 collaborators of William Martin. A scholar is included among the top collaborators of William Martin 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 William Martin. William Martin 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.
Gupta, Amit, William Martin, Andrew A. Pieper, et al.. (2025). Comprehensive characterization of the RNA editing landscape in the human aging brains with Alzheimer's disease. Alzheimer s & Dementia. 21(7). e70452–e70452. 1 indexed citations
2.
Richard, Guilhem, et al.. (2024). Neoadjuvant personalized cancer vaccines: the final frontier?. Expert Review of Vaccines. 23(1). 205–212. 8 indexed citations
3.
Roberts, Brian, Kristina E. Howard, James L. Weaver, et al.. (2024). Assessing the immunogenicity risk of salmon calcitonin peptide impurities using in silico and in vitro methods. Frontiers in Pharmacology. 15. 1363139–1363139. 3 indexed citations
4.
Haltaufderhyde, Kirk, Brian Roberts, Frances Terry, et al.. (2023). Immunoinformatic Risk Assessment of Host Cell Proteins During Process Development for Biologic Therapeutics. The AAPS Journal. 25(5). 87–87. 10 indexed citations
5.
Makowski, Emily K., Jennifer M. Zupancic, Jie Huang, et al.. (2023). Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning. Nature Biomedical Engineering. 8(1). 45–56. 21 indexed citations
6.
Richard, Guilhem, Michael F. Princiotta, Dominique Bridon, et al.. (2021). Neoantigen-based personalized cancer vaccines: the emergence of precision cancer immunotherapy. Expert Review of Vaccines. 21(2). 173–184. 37 indexed citations
7.
Moise, Leonard, Ted M. Ross, Daniel F. Hoft, William Martin, & Anne S. De Groot. (2020). Exploit T cell Immunity for Rapid, Safe and Effective COVID-19 Vaccines. Expert Review of Vaccines. 19(9). 781–784. 1 indexed citations
8.
Scholzen, Anja, Guilhem Richard, Leonard Moise, et al.. (2019). Coxiella burnetii Epitope-Specific T-Cell Responses in Patients with Chronic Q Fever. Infection and Immunity. 87(10). 11 indexed citations
9.
Gutiérrez, Andrés H., et al.. (2019). Immune escape and immune camouflage may reduce the efficacy of RTS,S vaccine in Malawi. Human Vaccines & Immunotherapeutics. 16(2). 214–227. 18 indexed citations
10.
Moise, Leonard, Bethany M. Biron, Neşe Kurt Yılmaz, et al.. (2018). T cell epitope engineering: an avian H7N9 influenza vaccine strategy for pandemic preparedness and response. Human Vaccines & Immunotherapeutics. 14(9). 2203–2207. 9 indexed citations
11.
Havel, Lauren S., Allyson E. Koyen, Jessica Konen, et al.. (2017). Vimentin Is Required for Lung Adenocarcinoma Metastasis via Heterotypic Tumor Cell–Cancer-Associated Fibroblast Interactions during Collective Invasion. Clinical Cancer Research. 24(2). 420–432. 181 indexed citations
12.
Terry, Frances, Leonard Moise, Drew Hannaman, et al.. (2017). An immunoinformatics-derived DNA vaccine encoding human class II T cell epitopes of Ebola virus, Sudan virus, and Venezuelan equine encephalitis virus is immunogenic in HLA transgenic mice. Human Vaccines & Immunotherapeutics. 13(12). 2824–2836. 24 indexed citations
13.
Etcheverrigaray, Marina, et al.. (2017). De-immun ized and F unctional T herapeutic (DeFT) versions of a long lasting recombinant alpha interferon for antiviral therapy. Clinical Immunology. 176. 31–41. 17 indexed citations
14.
Gutiérrez, Andrés H., Vicki Rapp-Gabrielson, Frances Terry, et al.. (2017). T‐cell epitope content comparison (EpiCC) of swine H1 influenza A virus hemagglutinin. Influenza and Other Respiratory Viruses. 11(6). 531–542. 15 indexed citations
15.
Bilir, Birdal, Adeboye O. Osunkoya, Soma Sannigrahi, et al.. (2016). SOX4 Is Essential for Prostate Tumorigenesis Initiated by PTEN Ablation. Cancer Research. 76(5). 1112–1121. 58 indexed citations
16.
Góngora, María Carolina, Heinrich E. Lob, Ulf Landmesser, et al.. (2008). Loss of Extracellular Superoxide Dismutase Leads to Acute Lung Damage in the Presence of Ambient Air. American Journal Of Pathology. 173(4). 915–926. 97 indexed citations
18.
Groot, Anne S. De, Elizabeth Bishop, Michelle Lally, et al.. (2004). Engineering immunogenic consensus T helper epitopes for a cross-clade HIV vaccine. Methods. 34(4). 476–487. 40 indexed citations
19.
Groot, Anne S. De & William Martin. (2003). From Immunome to Vaccine: Epitope Mapping and Vaccine Design Tools. Novartis Foundation symposium. 254. 57–76. 19 indexed citations
20.
Kovalik, Jean-Paul, Nagendra Singh, Sanjeev Kumar Mendiratta, et al.. (2000). The Alloreactive and Self-Restricted CD4+ T Cell Response Directed Against a Single MHC Class II/Peptide Combination. The Journal of Immunology. 165(3). 1285–1293. 12 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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