Ryan Kyle
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immune cells in cancer
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
- Immunology 10
- IL-33, ST2, and ILC Pathways 7
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 2
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- Dermatology and Skin Diseases 4
- Co-authors
- Erika L. Pearce (3 shared papers)Ramon I. Klein Geltink (1 shared paper)Graham Le Gros (10 shared papers)Ben Roediger (4 shared papers)Wolfgang Weninger (4 shared papers)Elizabeth Forbes‐Blom (6 shared papers)Daniel J. Puleston (2 shared papers)Alanna M. Cameron (2 shared papers)
- Journals
- Nature Immunology (2 papers)Frontiers in Immunology (2 papers)Nature Communications (1 paper)Experimental Dermatology (1 paper)PLoS ONE (1 paper)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Ryan Kyle
15 papers receiving 2.0k citations
Ryan Kyle's Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.3k
- Dermatology 155
- Immunology and Allergy 88
- Biological Psychiatry 35
- Cancer Research 174
Countries citing papers authored by Ryan Kyle
This map shows the geographic impact of Ryan Kyle'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 Ryan Kyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kyle more than expected).
Fields of papers citing papers by Ryan Kyle
This network shows the impact of papers produced by Ryan Kyle. 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 Ryan Kyle. The network helps show where Ryan Kyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Kyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Unraveling the Complex Interplay Between T Cell Metabolism and Function Hit paper breakdown → | 2018 | 580 |
| 2 | 2013 | 380 | |
| 3 | Mitochondrial Integrity Regulated by Lipid Metabolism Is a Cell-Intrinsic Checkpoint for Treg Suppressive Function Hit paper breakdown → | 2019 | 317 |
| 4 | 2019 | 202 | |
| 5 | 2015 | 130 | |
| 6 | 2015 | 124 | |
| 7 | 2018 | 62 | |
| 8 | 2014 | 52 | |
| 9 | 2012 | 47 | |
| 10 | 2014 | 25 | |
| 11 | 2017 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2013 | 16 | |
| 15 | 2025 | 1 |
About Ryan Kyle
Ryan Kyle is a scholar working on Immunology, Dermatology, Physiology, Surgery and Epidemiology, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (7 papers), Immune Cell Function and Interaction (5 papers), Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (3 papers), Allergic Rhinitis and Sensitization (2 papers), T-cell and B-cell Immunology (2 papers), Eosinophilic Esophagitis (2 papers) and Parasites and Host Interactions (1 paper). The work is most often cited by research in Immunology (1.3k citations), Dermatology (155 citations), Immunology and Allergy (88 citations), Biological Psychiatry (35 citations) and Cancer Research (174 citations). Ryan Kyle has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Erika L. Pearce, Ramon I. Klein Geltink, Graham Le Gros, Ben Roediger, Wolfgang Weninger, Elizabeth Forbes‐Blom, Daniel J. Puleston, Alanna M. Cameron, Cameron S. Field and David E. Sanin. Their work appears in journals such as Nature Immunology, Frontiers in Immunology, Nature Communications, Experimental Dermatology and PLoS ONE.
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.