Will Bailis
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Developmental Biology and Gene Regulation 4
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Immunology 11
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Immune cells in cancer 2
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- Richard A. Flavell (10 shared papers)Justin A. Shyer (6 shared papers)Ruaidhrí Jackson (6 shared papers)Jun Zhao (5 shared papers)Warren S. Pear (7 shared papers)Christian C. D. Harman (3 shared papers)Yuval Kluger (4 shared papers)Lina Kroehling (2 shared papers)
- Journals
- Nature (4 papers)Cell Research (2 papers)Immunity (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell (2 papers)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Will Bailis
20 papers receiving 2.6k citations
Will Bailis's Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 1.0k
- Cancer Research 575
- Molecular Biology 1.6k
- Oncology 319
- Biological Psychiatry 25
Countries citing papers authored by Will Bailis
This map shows the geographic impact of Will Bailis'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 Will Bailis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Bailis more than expected).
Fields of papers citing papers by Will Bailis
This network shows the impact of papers produced by Will Bailis. 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 Will Bailis. The network helps show where Will Bailis may publish in the future.
Co-authors
The 25 scholars most cited alongside Will Bailis, 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 | m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways Hit paper breakdown → | 2017 | 707 |
| 2 | Epithelial IL-18 Equilibrium Controls Barrier Function in Colitis Hit paper breakdown → | 2015 | 442 |
| 3 | 2018 | 274 | |
| 4 | 2020 | 224 | |
| 5 | 2013 | 194 | |
| 6 | 2018 | 162 | |
| 7 | 2019 | 160 | |
| 8 | 2014 | 133 | |
| 9 | 2013 | 114 | |
| 10 | 2010 | 94 | |
| 11 | 2009 | 43 | |
| 12 | 2020 | 38 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 2024 | 10 | |
| 16 | 2014 | 6 | |
| 17 | 2019 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Will Bailis
Will Bailis is a scholar working on Molecular Biology, Immunology, Surgery, Virology and Biological Psychiatry, having authored 20 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Developmental Biology and Gene Regulation (4 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Immunology (1.0k citations), Cancer Research (575 citations), Molecular Biology (1.6k citations), Oncology (319 citations) and Biological Psychiatry (25 citations). Will Bailis has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Richard A. Flavell, Justin A. Shyer, Ruaidhrí Jackson, Jun Zhao, Warren S. Pear, Christian C. D. Harman, Yuval Kluger, Lina Kroehling, Nicola Gagliani and Jun Siong Low. Their work appears in journals such as Nature, Cell Research, Immunity, Proceedings of the National Academy of Sciences and Cell.
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.