Will Bailis

4.8k citations
32 papers · 3.9k · 3 hit papers · h-index 18

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Cancer-related molecular mechanisms research

Papers in

Will Bailis

29 papers receiving 3.8k citations

Will Bailis's Hit Papers

β-Hydroxybutyrate suppresses colorectal cancer 2022 · 258 citations
2580+3+7Years since publication250500750

Peers

Will Bailis
Comparison fields: 5 of 101
  • Immunology 1.1k
  • Cancer Research 383
  • Molecular Biology 1.7k
  • Oncology 295
  • Genetics 285
Replace Michael Paul Gantier with:
Michael Paul Gantier Australia
Jiyang Wang Japan
Ivan Marazzi United States
Jörg Mages Germany
Cheong‐Hee Chang United States
Caroline Anne Jefferies Ireland
Yair Dorsett United States
Dmitry V. Kuprash Russia
Daniela Bosisio Italy
Julien C. Marie France
Will Bailis relative to Michael Paul Gantier Australia Michael Paul Gantier's profile →
Citations per field
00.5×1.5×1.9×
Michael Paul Gantier · 1×
Citations per year

Countries citing papers authored by Will Bailis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Will Bailis Line = papers co-authored together Will Bailis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways
Hit paper breakdown →
2017781
2
Epithelial IL-18 Equilibrium Controls Barrier Function in Colitis
Hit paper breakdown →
2015496
3 2018333
4 2020262
5
β-Hydroxybutyrate suppresses colorectal cancer
Hit paper breakdown →
2022258
6 2016245
7 2013207
8 2019192
9 2018186
10 2021161
11 2014148
12 2019139
13 2013121
14 2010103
15 202148
16 200945
17 202042
18 202519
19 201217
20 201616

About Will Bailis

Will Bailis is a scholar working on Immunology, Cancer Research, Molecular Biology, Hematology and Virology, having authored 32 papers that have together received 3.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Genomics and Chromatin Dynamics (3 papers), Developmental Biology and Gene Regulation (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), HIV Research and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (383 citations), Molecular Biology (1.7k citations), Oncology (295 citations) and Genetics (285 citations). Will Bailis has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Richard Anthony Flavell, Justin A. Shyer, Ruaidhrí P. Jackson, Warren S. Pear, Jun Zhao, Yuval Kluger, Lina Kroehling, Christian C. D. Harman, Nicola Gagliani and James P. Broughton. Their work appears in journals such as Nature, Cell, Immunity, Blood and Proceedings of the National Academy of Sciences.

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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