Benjamin P. Fairfax

11.6k total citations · 2 hit papers
54 papers, 2.8k citations indexed

About

Benjamin P. Fairfax is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Benjamin P. Fairfax has authored 54 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 20 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Benjamin P. Fairfax's work include Immune Cell Function and Interaction (17 papers), Cancer Immunotherapy and Biomarkers (13 papers) and T-cell and B-cell Immunology (10 papers). Benjamin P. Fairfax is often cited by papers focused on Immune Cell Function and Interaction (17 papers), Cancer Immunotherapy and Biomarkers (13 papers) and T-cell and B-cell Immunology (10 papers). Benjamin P. Fairfax collaborates with scholars based in United Kingdom, United States and Switzerland. Benjamin P. Fairfax's co-authors include Julian C. Knight, Seiko Makino, Katharine Plant, Vivek Naranbhai, Peter Humburg, Daniel Wong, Evelyn Lau, Luke Jostins, Robert Andrews and Jayachandran Radhakrishnan and has published in prestigious journals such as Science, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Benjamin P. Fairfax

48 papers receiving 2.8k citations

Hit Papers

Genetic association analyses implicate aberrant regulatio... 2014 2026 2018 2022 2015 2014 200 400 600

Peers

Benjamin P. Fairfax
Stacy J. Caillier United States
Hugh H. Reid Australia
Evan M. Braunstein United States
Nitin J. Karandikar United States
D Kioussis United States
Robin Lincoln United States
Stacy J. Caillier United States
Benjamin P. Fairfax
Citations per year, relative to Benjamin P. Fairfax Benjamin P. Fairfax (= 1×) peers Stacy J. Caillier

Countries citing papers authored by Benjamin P. Fairfax

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Fairfax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. Fairfax. 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 Benjamin P. Fairfax. The network helps show where Benjamin P. Fairfax may publish in the future.

Co-authorship network of co-authors of Benjamin P. Fairfax

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin P. Fairfax. A scholar is included among the top collaborators of Benjamin P. Fairfax 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 Benjamin P. Fairfax. Benjamin P. Fairfax 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.
Ye, Siying, et al.. (2025). Lactation, tissue-resident immunity, and protection against breast cancer. Trends in Immunology. 47(1). 3–5.
2.
Gilchrist, James J., Hai Fang, Sara Danielli, et al.. (2024). Characterization of the genetic determinants of context-specific DNA methylation in primary monocytes. Cell Genomics. 4(5). 100541–100541. 1 indexed citations
3.
Tong, Orion, Robert Watson, Ana Victoria Lechuga‐Vieco, et al.. (2023). IFNγ signaling in cytotoxic T cells restricts anti-tumor responses by inhibiting the maintenance and diversity of intra-tumoral stem-like T cells. Nature Communications. 14(1). 321–321. 36 indexed citations
4.
Ye, Weiyu, Anna Olsson‐Brown, Robert Watson, et al.. (2021). Checkpoint-blocker-induced autoimmunity is associated with favourable outcome in metastatic melanoma and distinct T-cell expression profiles. British Journal of Cancer. 124(10). 1661–1669. 33 indexed citations
5.
Ruffieux, Hélène, Benjamin P. Fairfax, Isar Nassiri, et al.. (2021). EPISPOT: An epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies. The American Journal of Human Genetics. 108(6). 983–1000. 7 indexed citations
6.
Pischedda, Sara, Daniel O’Connor, Benjamin P. Fairfax, et al.. (2021). Changes in epigenetic profiles throughout early childhood and their relationship to the response to pneumococcal vaccination. Clinical Epigenetics. 13(1). 29–29. 6 indexed citations
7.
Cheung, Vincent, Sarah C. Sasson, Mariya Misheva, et al.. (2021). P93 Faecal microbiota transplant for refractory checkpoint inhibitor immunotherapy-related colitis. A89.1–A89. 2 indexed citations
8.
Sasson, Sarah C., Laura Wilkins, Oliver Brain, et al.. (2021). Identification of neutralising pembrolizumab anti-drug antibodies in patients with melanoma. Scientific Reports. 11(1). 19253–19253. 6 indexed citations
9.
Fairfax, Benjamin P., Chelsea Taylor, Robert Watson, et al.. (2020). Peripheral CD8+ T cell characteristics associated with durable responses to immune checkpoint blockade in patients with metastatic melanoma. Nature Medicine. 26(2). 193–199. 198 indexed citations
10.
Davison, A. C., et al.. (2020). A global-local approach for detecting hotspots in multiple-response regression. Oxford University Research Archive (ORA) (University of Oxford). 8 indexed citations
11.
Kasela, Silva, Kai Kisand, Liina Tserel, et al.. (2017). Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells. PLoS Genetics. 13(3). e1006643–e1006643. 62 indexed citations
12.
Bentham, James, David Morris, Deborah S. Cunninghame Graham, et al.. (2015). Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus. Nature Genetics. 47(12). 1457–1464. 600 indexed citations breakdown →
13.
Naranbhai, Vivek, Benjamin P. Fairfax, Seiko Makino, et al.. (2015). Genomic modulators of gene expression in human neutrophils. Nature Communications. 6(1). 7545–7545. 82 indexed citations
14.
Fairfax, Benjamin P. & Julian C. Knight. (2014). Genetics of gene expression in immunity to infection. Current Opinion in Immunology. 30. 63–71. 45 indexed citations
15.
Wong, Daniel, Wanseon Lee, Peter Humburg, et al.. (2014). Genomic mapping of the MHC transactivator CIITA using an integrated ChIP-seq and genetical genomics approach. Genome biology. 15(10). 494–494. 28 indexed citations
16.
Plant, Katharine, Benjamin P. Fairfax, Seiko Makino, et al.. (2013). Fine mapping genetic determinants of the highly variably expressed MHC gene ZFP57. European Journal of Human Genetics. 22(4). 568–571. 17 indexed citations
17.
Simpson, Nuala H., Laura Addis, William M. Brandler, et al.. (2013). Increased prevalence of sex chromosome aneuploidies in specific language impairment and dyslexia. Developmental Medicine & Child Neurology. 56(4). 346–353. 27 indexed citations
18.
Fairfax, Benjamin P., Fredrik Vannberg, Jayachandran Radhakrishnan, et al.. (2009). An integrated expression phenotype mapping approach defines common variants in LEP, ALOX15 and CAPNS1 associated with induction of IL-6. Human Molecular Genetics. 19(4). 720–730. 23 indexed citations
19.
Kuramoto, Nobuyuki, Megan E. Wilkins, Benjamin P. Fairfax, et al.. (2007). Phospho-Dependent Functional Modulation of GABAB Receptors by the Metabolic Sensor AMP-Dependent Protein Kinase. Neuron. 53(2). 233–247. 158 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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