Yisi Lu

1.9k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Yisi Lu is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Yisi Lu has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Yisi Lu's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (4 papers). Yisi Lu is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Immunotherapy and Immune Responses (4 papers). Yisi Lu collaborates with scholars based in United States, China and South Korea. Yisi Lu's co-authors include Joe Craft, Jason S. Weinstein, Susan M. Kaech, Brian J. Laidlaw, Steven H. Kleinstein, Robert A. Amezquita, Michel DuPage, Rebecca Robbins, Amy Li and Anna F. Farago and has published in prestigious journals such as Science, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Yisi Lu

15 papers receiving 1.3k 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.

Identification of a T follicular helper cell subset that drives anaphylactic IgE

2019 317 citations Uthaman Gowthaman, Jennifer Chen et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yisi Lu United States	11	861	346	198	171	145	17	1.3k
Pampa Roy United States	14	973 1.1×	261 0.8×	422 2.1×	93 0.5×	58 0.4×	19	1.4k
Jennifer Y. Wang United States	8	644 0.7×	102 0.3×	154 0.8×	174 1.0×	56 0.4×	27	993
Ole Baadsgaard Denmark	20	737 0.9×	245 0.7×	164 0.8×	82 0.5×	76 0.5×	37	1.2k
Kirti V. Sawant United States	15	406 0.5×	224 0.6×	222 1.1×	51 0.3×	94 0.6×	20	836
M. Bhushan United Kingdom	15	630 0.7×	136 0.4×	179 0.9×	67 0.4×	110 0.8×	29	1.1k
Hiraku Suga Japan	21	620 0.7×	272 0.8×	216 1.1×	98 0.6×	123 0.8×	67	1.3k
Scott R. Burger United States	19	295 0.3×	349 1.0×	435 2.2×	131 0.8×	57 0.4×	35	1.3k
Niwa Ali United Kingdom	13	1.3k 1.5×	398 1.2×	318 1.6×	85 0.5×	22 0.2×	21	1.9k
Ayumi Fukuoka Japan	15	238 0.3×	253 0.7×	193 1.0×	217 1.3×	203 1.4×	28	871
T.J. Stoof Netherlands	15	271 0.3×	251 0.7×	139 0.7×	104 0.6×	61 0.4×	29	810

Countries citing papers authored by Yisi Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yisi Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yisi Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yisi Lu. A scholar is included among the top collaborators of Yisi Lu 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 Yisi Lu. Yisi Lu 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:

17 of 17 papers shown

Yan, Dengming, et al.. (2025). Research Status and Emerging Trends in the Comprehensive Impact of Inter-Basin Water Transfer Projects (IBWTs). Water. 17(20). 2981–2981.

Baker, Sarah E., Akiko Kinoshita‐Toyoda, Yisi Lu, et al.. (2024). In vivo activities of heparan sulfate differentially modified by NDSTs during development. PubMed. 2(1).

Dong, Xiaoqiang, et al.. (2023). Research status and emerging trends in remediation of contaminated sites: a bibliometric network analysis. Environmental Reviews. 31(3). 542–564. 9 indexed citations

Li, Jiashi, Xiaoqiang Dong, Xin Xu, et al.. (2022). Comparative Study on the Adsorption Characteristics of Heavy Metal Ions by Activated Carbon and Selected Natural Adsorbents. Sustainability. 14(23). 15579–15579. 34 indexed citations

Lu, Yisi, et al.. (2022). Removal Characteristics and Mechanismof Mn(II) from Acidic Wastewater UsingRed Mud-Loess Mixture. Polish Journal of Environmental Studies. 31(6). 5781–5792. 4 indexed citations

Lu, Yisi & Joe Craft. (2021). T Follicular Regulatory Cells: Choreographers of Productive Germinal Center Responses. Frontiers in Immunology. 12. 679909–679909. 23 indexed citations

Takemura, Masahiko, et al.. (2021). Endogenous epitope tagging of a JAK/STAT ligand Unpaired1 in Drosophila. PubMed. 2021. 2 indexed citations

Lu, Yisi, Ruoyi Jiang, Alec W. Freyn, et al.. (2020). CD4+ follicular regulatory T cells optimize the influenza virus–specific B cell response. The Journal of Experimental Medicine. 218(3). 37 indexed citations

Gowthaman, Uthaman, Jennifer Chen, Biyan Zhang, et al.. (2019). Identification of a T follicular helper cell subset that drives anaphylactic IgE. Science. 365(6456). 317 indexed citations breakdown →

10.

He, Ming-Hong, Jiacheng Liu, Yisi Lu, et al.. (2019). KEOPS complex promotes homologous recombination via DNA resection. Nucleic Acids Research. 47(11). 5684–5697. 19 indexed citations

11.

Liu, Yingying, Ming-Hong He, Jiacheng Liu, et al.. (2018). Yeast KEOPS complex regulates telomere length independently of its t6A modification function. Journal of genetics and genomics. 45(5). 247–257. 15 indexed citations

12.

Laidlaw, Brian J., Yisi Lu, Robert A. Amezquita, et al.. (2017). Interleukin-10 from CD4 ⁺ follicular regulatory T cells promotes the germinal center response. Science Immunology. 2(16). 140 indexed citations

13.

Lu, Qiongshi, Ryan L. Powles, Qian Wang, et al.. (2017). Systematic tissue-specific functional annotation of the human genome highlights immune-related DNA elements for late-onset Alzheimer’s disease. PLoS Genetics. 13(7). e1006933–e1006933. 65 indexed citations

14.

Weinstein, Jason S., Brian J. Laidlaw, Yisi Lu, et al.. (2017). STAT4 and T-bet control follicular helper T cell development in viral infections. The Journal of Experimental Medicine. 215(1). 337–355. 90 indexed citations

15.

Liu, Jun, Ming-Hong He, Jing Peng, et al.. (2016). Tethering telomerase to telomeres increases genome instability and promotes chronological aging in yeast. Aging. 8(11). 2827–2847. 9 indexed citations

16.

Laidlaw, Brian J., Weiguo Cui, Robert A. Amezquita, et al.. (2015). Production of IL-10 by CD4+ regulatory T cells during the resolution of infection promotes the maturation of memory CD8+ T cells. Nature Immunology. 16(8). 871–879. 159 indexed citations

17.

Joshi, Nikhil S., Elliot H. Akama‐Garren, Yisi Lu, et al.. (2015). Regulatory T Cells in Tumor-Associated Tertiary Lymphoid Structures Suppress Anti-tumor T Cell Responses. Immunity. 43(3). 579–590. 377 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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