John Ray
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune cells in cancer
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
- Immunology 12
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 2
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- Electoral Systems and Political Participation 3
- Co-authors
- Joe Craft (4 shared papers)David M. Tobin (3 shared papers)Lalita Ramakrishnan (3 shared papers)Matthew Staron (3 shared papers)Brian J. Laidlaw (3 shared papers)Heather D. Marshall (3 shared papers)Jay C. Vary (2 shared papers)Thomas R. Hawn (2 shared papers)
- Journals
- Nature Communications (2 papers)Immunity (2 papers)Cell (2 papers)Nature Genetics (2 papers)Advanced Materials (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
John Ray
38 papers receiving 1.7k citations
John Ray's Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 814
- Infectious Diseases 514
- Epidemiology 361
- Microbiology 59
- Cell Biology 118
Countries citing papers authored by John Ray
This map shows the geographic impact of John Ray'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 John Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ray more than expected).
Fields of papers citing papers by John Ray
This network shows the impact of papers produced by John Ray. 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 John Ray. The network helps show where John Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside John Ray, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections Hit paper breakdown → | 2012 | 420 |
| 2 | 2010 | 404 | |
| 3 | 2015 | 245 | |
| 4 | 2014 | 182 | |
| 5 | 2018 | 56 | |
| 6 | 2020 | 50 | |
| 7 | 2015 | 50 | |
| 8 | 2009 | 45 | |
| 9 | 2021 | 40 | |
| 10 | 2013 | 37 | |
| 11 | 1955 | 35 | |
| 12 | 2010 | 28 | |
| 13 | 2022 | 27 | |
| 14 | 2020 | 19 | |
| 15 | 2015 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2004 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 1982 | 8 | |
| 20 | 1972 | 7 |
About John Ray
John Ray is a scholar working on Immunology, Political Science and International Relations, Molecular Biology, Infectious Diseases and Surgery, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Electoral Systems and Political Participation (3 papers), RNA Research and Splicing (2 papers), Molecular Junctions and Nanostructures (2 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Immunology (814 citations), Infectious Diseases (514 citations), Epidemiology (361 citations), Microbiology (59 citations) and Cell Biology (118 citations). John Ray has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Joe Craft, David M. Tobin, Lalita Ramakrishnan, Matthew Staron, Brian J. Laidlaw, Heather D. Marshall, Jay C. Vary, Thomas R. Hawn, Mary‐Claire King and Sarah J. Dunstan. Their work appears in journals such as Nature Communications, Immunity, Cell, Nature Genetics and Advanced Materials.
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.