Will Bailis

4.7k total citations · 2 hit papers
20 papers, 2.6k citations indexed

About

Will Bailis is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Will Bailis has authored 20 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 1 paper in Surgery. Recurrent topics in Will Bailis's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Developmental Biology and Gene Regulation (4 papers). Will Bailis is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Developmental Biology and Gene Regulation (4 papers). Will Bailis collaborates with scholars based in United States, China and Israel. Will Bailis's 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 Marcel R. de Zoete and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Will Bailis

20 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways

2017 707 citations Huabing Li, Jiyu Tong et al. Nature profile →
Epithelial IL-18 Equilibrium Controls Barrier Function in Colitis

2015 442 citations Roni Nowarski, Ruaidhrí Jackson et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Will Bailis United States	14	1.6k	1.0k	575	319	317	20	2.6k
Qingguo Ruan United States	28	1.4k 0.9×	1.7k 1.7×	1.2k 2.1×	406 1.3×	229 0.7×	58	3.3k
Toru Miyake Japan	20	1.2k 0.8×	1.1k 1.1×	361 0.6×	625 2.0×	287 0.9×	114	2.8k
Nien‐Jung Chen Taiwan	26	896 0.5×	1.1k 1.1×	320 0.6×	309 1.0×	223 0.7×	46	2.3k
Tara L. Roberts Australia	24	1.7k 1.1×	1.3k 1.3×	352 0.6×	403 1.3×	187 0.6×	67	2.8k
Hu Zeng United States	27	1.3k 0.8×	2.1k 2.1×	457 0.8×	550 1.7×	166 0.5×	63	3.2k
Katarzyna Bulek United States	25	932 0.6×	1.8k 1.7×	420 0.7×	415 1.3×	298 0.9×	39	2.7k
Andrea J. Barczak United States	20	1.2k 0.8×	1.2k 1.2×	528 0.9×	780 2.4×	193 0.6×	32	2.8k
Satoshi Yamasaki Japan	26	2.0k 1.2×	379 0.4×	668 1.2×	426 1.3×	223 0.7×	77	3.0k
John M. Ashton United States	25	2.0k 1.3×	420 0.4×	834 1.5×	507 1.6×	169 0.5×	62	3.3k
Joseph Barbi United States	24	1.3k 0.8×	1.5k 1.5×	821 1.4×	619 1.9×	173 0.5×	53	3.4k

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-authorship network of co-authors of Will Bailis

This figure shows the co-authorship network connecting the top 25 collaborators of Will Bailis. A scholar is included among the top collaborators of Will Bailis 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 Will Bailis. Will Bailis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Queriault, Clémence, et al.. (2024). Malnutrition drives infection susceptibility and dysregulated myelopoiesis that persists after refeeding intervention. eLife. 13. 2 indexed citations

Turner, Lucien H., Eric Cross, Clémence Queriault, et al.. (2024). Single-cell NAD(H) levels predict clonal lymphocyte expansion dynamics. Science Immunology. 9(93). eadj7238–eadj7238. 10 indexed citations

Harman, Christian C. D., Will Bailis, Jun Zhao, et al.. (2021). An in vivo screen of noncoding loci reveals that Daedalus is a gatekeeper of an Ikaros-dependent checkpoint during haematopoiesis. Proceedings of the National Academy of Sciences. 118(3). 3 indexed citations

Xu, Hao, Theodora Agalioti, Jun Zhao, et al.. (2020). The induction and function of the anti-inflammatory fate of TH17 cells. Nature Communications. 11(1). 3334–3334. 38 indexed citations

Shyer, Justin A., Richard A. Flavell, & Will Bailis. (2020). Metabolic signaling in T cells. Cell Research. 30(8). 649–659. 224 indexed citations

Shyer, Justin A., Richard A. Flavell, & Will Bailis. (2020). Author Correction: metabolic signaling in T cells. Cell Research. 30(11). 1053–1053. 3 indexed citations

Bailis, Will, Justin A. Shyer, Jun Zhao, et al.. (2019). Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function. Nature. 571(7765). 403–407. 160 indexed citations

Bailis, Will, Justin A. Shyer, Jun Zhao, et al.. (2019). Author Correction: Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function. Nature. 573(7773). E2–E2. 4 indexed citations

Zhou, Xu, Ruth A. Franklin, Miri Adler, et al.. (2018). Circuit Design Features of a Stable Two-Cell System. Cell. 172(4). 744–757.e17. 274 indexed citations

10.

Jackson, Ruaidhrí, Lina Kroehling, Alexandra Khitun, et al.. (2018). The translation of non-canonical open reading frames controls mucosal immunity. Nature. 564(7736). 434–438. 162 indexed citations

11.

Pajcini, Kostandin V., Lanwei Xu, Jelena Petrovic, et al.. (2017). MAFB enhances oncogenic Notch signaling in T cell acute lymphoblastic leukemia. Science Signaling. 10(505). 15 indexed citations

12.

Li, Huabing, Jiyu Tong, Shu Zhu, et al.. (2017). m6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways. Nature. 548(7667). 338–342. 707 indexed citations breakdown →

13.

Greene, M I, Yongjie Lai, Kostandin V. Pajcini, et al.. (2016). Delta/Notch-Like EGF-Related Receptor (DNER) Is Not a Notch Ligand. PLoS ONE. 11(9). e0161157–e0161157. 15 indexed citations

14.

Nowarski, Roni, Ruaidhrí Jackson, Nicola Gagliani, et al.. (2015). Epithelial IL-18 Equilibrium Controls Barrier Function in Colitis. Cell. 163(6). 1444–1456. 442 indexed citations breakdown →

15.

Yashiro–Ohtani, Yumi, Hongfang Wang, Chongzhi Zang, et al.. (2014). Long-range enhancer activity determines Myc sensitivity to Notch inhibitors in T cell leukemia. Proceedings of the National Academy of Sciences. 111(46). E4946–53. 133 indexed citations

16.

Bailis, Will, Yumi Yashiro–Ohtani, & Warren S. Pear. (2014). Identifying Direct Notch Transcriptional Targets Using the GSI-Washout Assay. Methods in molecular biology. 1187. 247–254. 6 indexed citations

17.

Yang, Qi, Laurel A. Monticelli, Steven A. Saenz, et al.. (2013). T Cell Factor 1 Is Required for Group 2 Innate Lymphoid Cell Generation. Immunity. 38(4). 694–704. 194 indexed citations

18.

Bailis, Will, Yumi Yashiro–Ohtani, Terry Fang, et al.. (2013). Notch Simultaneously Orchestrates Multiple Helper T Cell Programs Independently of Cytokine Signals. Immunity. 39(1). 148–159. 114 indexed citations

19.

Keeshan, Karen, Will Bailis, Priya H. Dedhia, et al.. (2010). Transformation by Tribbles homolog 2 (Trib2) requires both the Trib2 kinase domain and COP1 binding. Blood. 116(23). 4948–4957. 94 indexed citations

20.

Okeoma, Chioma M., Audrey Low, Will Bailis, et al.. (2009). Induction of APOBEC3 In Vivo Causes Increased Restriction of Retrovirus Infection. Journal of Virology. 83(8). 3486–3495. 43 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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