Hailey Brown

783 total citations
10 papers, 544 citations indexed

About

Hailey Brown is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Hailey Brown has authored 10 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Hailey Brown's work include Autophagy in Disease and Therapy (3 papers), Immune Cell Function and Interaction (3 papers) and RNA modifications and cancer (2 papers). Hailey Brown is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Immune Cell Function and Interaction (3 papers) and RNA modifications and cancer (2 papers). Hailey Brown collaborates with scholars based in United States, China and Japan. Hailey Brown's co-authors include Seungmin Hwang, Soowon Kang, Daria Esterházy, John L. Woolford, Michael Gamalinda, Zhifei Li, Dan Tan, Shan Wu, Ning Gao and Yi Yuan and has published in prestigious journals such as Nature, The Journal of Cell Biology and Immunity.

In The Last Decade

Hailey Brown

9 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hailey Brown United States	8	288	133	102	96	62	10	544
Jingbo Zhai China	12	227 0.8×	196 1.5×	66 0.6×	77 0.8×	45 0.7×	42	487
Arindam Chakrabarti United States	9	458 1.6×	407 3.1×	99 1.0×	131 1.4×	54 0.9×	16	748
Lianzhong Zhao China	13	238 0.8×	183 1.4×	90 0.9×	169 1.8×	18 0.3×	20	491
Diego Germini France	13	247 0.9×	89 0.7×	76 0.7×	115 1.2×	172 2.8×	31	581
Shaohui Wang United States	16	125 0.4×	158 1.2×	109 1.1×	243 2.5×	37 0.6×	46	562
Marta Alenquer Portugal	12	526 1.8×	136 1.0×	219 2.1×	221 2.3×	105 1.7×	17	857
Guillaume Fiches United States	12	260 0.9×	179 1.3×	128 1.3×	109 1.1×	58 0.9×	22	614
Xian Lin China	14	243 0.8×	255 1.9×	116 1.1×	215 2.2×	27 0.4×	28	575
Ji-Seon Kang South Korea	7	123 0.4×	224 1.7×	98 1.0×	91 0.9×	24 0.4×	9	400

Countries citing papers authored by Hailey Brown

Since Specialization

Citations

This map shows the geographic impact of Hailey Brown'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 Hailey Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailey Brown more than expected).

Fields of papers citing papers by Hailey Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hailey Brown. 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 Hailey Brown. The network helps show where Hailey Brown may publish in the future.

Co-authorship network of co-authors of Hailey Brown

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

All Works

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10 of 10 papers shown

1.

Fatkhullina, Aliia R., et al.. (2025). Medullary stromal cells define small intestinal lymph node identity in humans and mice. Cell Reports. 44(10). 116441–116441.

2.

Brown, Hailey, et al.. (2023). Lymph node sharing between pancreas, gut, and liver leads to immune crosstalk and regulation of pancreatic autoimmunity. Immunity. 56(9). 2070–2085.e11. 24 indexed citations

3.

Brown, Hailey & Daria Esterházy. (2021). Intestinal immune compartmentalization: implications of tissue specific determinants in health and disease. Mucosal Immunology. 14(6). 1259–1270. 45 indexed citations

4.

Kang, Soowon, Hailey Brown, & Seungmin Hwang. (2018). Direct Antiviral Mechanisms of Interferon-Gamma. Immune Network. 18(5). e33–e33. 173 indexed citations

5.

Coers, Jörn, Hailey Brown, Seungmin Hwang, & Gregory A. Taylor. (2018). Partners in anti-crime: how interferon-inducible GTPases and autophagy proteins team up in cell-intrinsic host defense. Current Opinion in Immunology. 54. 93–101. 18 indexed citations

6.

Wilson, Daniel M., et al.. (2018). Hierarchical recruitment of ribosomal proteins and assembly factors remodels nucleolar pre-60S ribosomes. The Journal of Cell Biology. 217(7). 2503–2518. 33 indexed citations

7.

Brown, Hailey, Scott B. Biering, Allen Zhu, Jayoung Choi, & Seungmin Hwang. (2018). Demarcation of Viral Shelters Results in Destruction by Membranolytic GTPases: Antiviral Function of Autophagy Proteins and Interferon‐Inducible GTPases. BioEssays. 40(6). e1700231–e1700231. 7 indexed citations

8.

Biering, Scott B., Jayoung Choi, Hailey Brown, & Seungmin Hwang. (2017). LC3s hire membrane breakers to attack viral shelters. Autophagy. 13(11). 2010–2012. 3 indexed citations

9.

Biering, Scott B., Jayoung Choi, Hailey Brown, et al.. (2017). Viral Replication Complexes Are Targeted by LC3-Guided Interferon-Inducible GTPases. Cell Host & Microbe. 22(1). 74–85.e7. 72 indexed citations

10.

Wu, Shan, Beril Tutuncuoglu, Kaige Yan, et al.. (2016). Diverse roles of assembly factors revealed by structures of late nuclear pre-60S ribosomes. Nature. 534(7605). 133–137. 169 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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