Lingyun Long

3.4k total citations · 1 hit paper
27 papers, 2.3k citations indexed

About

Lingyun Long is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Lingyun Long has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 5 papers in Oncology. Recurrent topics in Lingyun Long's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CRISPR and Genetic Engineering (3 papers). Lingyun Long is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and CRISPR and Genetic Engineering (3 papers). Lingyun Long collaborates with scholars based in United States, China and Singapore. Lingyun Long's co-authors include Hongbo Chi, Jun Wei, Peter Vogel, Yogesh Dhungana, Nicole M. Chapman, Cliff Guy, Geoffrey Neale, Jordy Saravia, Hongling Huang and Kai Yang and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Lingyun Long

25 papers receiving 2.3k citations

Hit Papers

Lipid signalling enforces functional specialization of Tr... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyun Long United States 20 1.1k 978 611 403 286 27 2.3k
Qian Ma China 21 948 0.9× 960 1.0× 324 0.5× 343 0.9× 143 0.5× 65 2.2k
Xia Liu China 24 913 0.9× 935 1.0× 519 0.8× 443 1.1× 175 0.6× 67 2.7k
Jiayi Yu China 22 732 0.7× 657 0.7× 517 0.8× 359 0.9× 115 0.4× 79 1.7k
Rong Zhang China 27 280 0.3× 1.0k 1.0× 505 0.8× 382 0.9× 126 0.4× 109 2.0k
Diana C.J. Spierings Netherlands 31 457 0.4× 2.2k 2.2× 839 1.4× 848 2.1× 156 0.5× 83 3.3k
Lin Tang China 26 336 0.3× 1.4k 1.4× 337 0.6× 679 1.7× 149 0.5× 142 2.4k
Marco Da Costa France 10 511 0.5× 1.1k 1.1× 343 0.6× 265 0.7× 157 0.5× 14 2.0k
Yanyun Zhang China 29 697 0.7× 982 1.0× 520 0.9× 429 1.1× 235 0.8× 89 2.2k
Linlin Zhao China 23 237 0.2× 1.2k 1.2× 280 0.5× 260 0.6× 122 0.4× 69 1.9k
Rainer Zenz Austria 16 733 0.7× 1.3k 1.3× 758 1.2× 370 0.9× 227 0.8× 20 2.6k

Countries citing papers authored by Lingyun Long

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyun Long

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

All Works

20 of 20 papers shown
3.
Liu, Zhichao, Yaru Zhang, Ning Ma, et al.. (2023). Progenitor-like exhausted SPRY1+CD8+ T cells potentiate responsiveness to neoadjuvant PD-1 blockade in esophageal squamous cell carcinoma. Cancer Cell. 41(11). 1852–1870.e9. 64 indexed citations
4.
Lim, Seon Ah, Jun Wei, Thanh-Long M. Nguyen, et al.. (2021). Lipid signalling enforces functional specialization of Treg cells in tumours. Nature. 591(7849). 306–311. 286 indexed citations breakdown →
5.
Yoo, Chan Yul, Jiangman He, Qing Sang, et al.. (2021). Direct photoresponsive inhibition of a p53-like transcription activation domain in PIF3 by Arabidopsis phytochrome B. Nature Communications. 12(1). 5614–5614. 25 indexed citations
6.
Huang, Hongling, Peipei Zhou, Jun Wei, et al.. (2021). In vivo CRISPR screening reveals nutrient signaling processes underpinning CD8+ T cell fate decisions. Cell. 184(5). 1245–1261.e21. 95 indexed citations
7.
Zheng, Wenting, Jun Wei, Caitlin C. Zebley, et al.. (2021). Regnase-1 suppresses TCF-1+ precursor exhausted T-cell formation to limit CAR–T-cell responses against ALL. Blood. 138(2). 122–135. 61 indexed citations
8.
Su, Wei, Nicole M. Chapman, Jun Wei, et al.. (2020). Protein Prenylation Drives Discrete Signaling Programs for the Differentiation and Maintenance of Effector Treg Cells. Cell Metabolism. 32(6). 996–1011.e7. 39 indexed citations
9.
Wang, Yanyan, Xingrong Du, Jun Wei, et al.. (2019). LKB1 orchestrates dendritic cell metabolic quiescence and anti-tumor immunity. Cell Research. 29(5). 391–405. 53 indexed citations
10.
Wei, Jun, Lingyun Long, Wenting Zheng, et al.. (2019). Targeting REGNASE-1 programs long-lived effector T cells for cancer therapy. Nature. 576(7787). 471–476. 281 indexed citations
11.
Shi, Hao, Nicole M. Chapman, Jing Wen, et al.. (2019). Amino Acids License Kinase mTORC1 Activity and Treg Cell Function via Small G Proteins Rag and Rheb. Immunity. 51(6). 1012–1027.e7. 97 indexed citations
12.
Bao, Wen, Yuezhen Deng, Lingyun Long, et al.. (2016). Iron overload in hereditary tyrosinemia type 1 induces liver injury through the Sp1/Tfr2/hepcidin axis. Journal of Hepatology. 65(1). 137–145. 27 indexed citations
13.
Li, Jingjing, Zhijian Sun, Yanmei Yuan, et al.. (2016). EphB3 Stimulates Cell Migration and Metastasis in a Kinase-dependent Manner through Vav2-Rho GTPase Axis in Papillary Thyroid Cancer. Journal of Biological Chemistry. 292(3). 1112–1121. 18 indexed citations
14.
Wei, Jun, Lingyun Long, Kai Yang, et al.. (2016). Autophagy enforces functional integrity of regulatory T cells by coupling environmental cues and metabolic homeostasis. Nature Immunology. 17(3). 277–285. 348 indexed citations
15.
Qiu, Yongjian, Meina Li, Lingyun Long, et al.. (2015). HEMERA Couples the Proteolysis and Transcriptional Activity of PHYTOCHROME INTERACTING FACTORs in Arabidopsis Photomorphogenesis. The Plant Cell. 27(5). 1409–1427. 63 indexed citations
16.
17.
Long, Lingyun, Yuezhen Deng, Dongxian Guan, et al.. (2014). Recruitment of Phosphatase PP2A by RACK1 Adaptor Protein Deactivates Transcription Factor IRF3 and Limits Type I Interferon Signaling. Immunity. 40(4). 515–529. 101 indexed citations
18.
Long, Lingyun, et al.. (2013). RACK1 modulates NF-κB activation by interfering with the interaction between TRAF2 and the IKK complex. Cell Research. 24(3). 359–371. 43 indexed citations
19.
He, Jiali, Jingjing Qin, Lingyun Long, et al.. (2011). Net cadmium flux and accumulation reveal tissue‐specific oxidative stress and detoxification in Populus × canescens. Physiologia Plantarum. 143(1). 50–63. 208 indexed citations
20.
Jin, Lin, Lingyun Long, Michael A. Green, & Brett T. Spear. (2009). The alpha-fetoprotein enhancer region activates the albumin and alpha-fetoprotein promoters during liver development. Developmental Biology. 336(2). 294–300. 15 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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