Lei Jin

6.8k total citations · 2 hit papers
121 papers, 5.3k citations indexed

About

Lei Jin is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Lei Jin has authored 121 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Immunology, 35 papers in Molecular Biology and 16 papers in Cancer Research. Recurrent topics in Lei Jin's work include Immune Cell Function and Interaction (33 papers), interferon and immune responses (32 papers) and Immune Response and Inflammation (29 papers). Lei Jin is often cited by papers focused on Immune Cell Function and Interaction (33 papers), interferon and immune responses (32 papers) and Immune Response and Inflammation (29 papers). Lei Jin collaborates with scholars based in China, United States and Germany. Lei Jin's co-authors include John C. Cambier, Fu‐Sheng Wang, Zheng Zhang, Junliang Fu, Samira Mansouri, Ming Shi, Chun‐Bao Zhou, Jinxia Yao, Baoyun Fu and Paul M. Waterman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Lei Jin

114 papers receiving 5.3k citations

Hit Papers

Increased Regulatory T Cells Correlate With CD8 T-Cell Im... 2007 2026 2013 2019 2007 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Jin China 39 3.4k 1.7k 925 894 889 121 5.3k
Sidong Xiong China 45 2.7k 0.8× 2.7k 1.6× 763 0.8× 1.1k 1.2× 1.3k 1.5× 208 6.4k
F. Xiao‐Feng Qin China 41 3.8k 1.1× 2.6k 1.5× 456 0.5× 999 1.1× 885 1.0× 115 8.0k
Mark R. Walter United States 40 4.0k 1.2× 1.9k 1.1× 736 0.8× 2.1k 2.4× 995 1.1× 106 6.9k
Andrea Gambotto United States 46 2.9k 0.8× 2.3k 1.3× 1.1k 1.2× 1.3k 1.4× 1.1k 1.3× 115 6.3k
Luiz F. L. Reis Brazil 33 3.4k 1.0× 2.0k 1.1× 675 0.7× 1.5k 1.7× 1.0k 1.2× 77 6.2k
Matteo Iannacone Italy 36 3.2k 0.9× 1.4k 0.8× 441 0.5× 1.1k 1.2× 1.5k 1.7× 98 6.2k
Siddharth Balachandran United States 44 3.2k 0.9× 3.8k 2.2× 727 0.8× 911 1.0× 1.3k 1.4× 82 6.4k
Hans‐Willi Mittrücker Germany 51 5.5k 1.6× 1.5k 0.9× 1.0k 1.1× 1.7k 1.9× 1.1k 1.2× 121 8.3k
Marc Pellegrini Australia 40 3.1k 0.9× 2.4k 1.4× 406 0.4× 1.3k 1.5× 776 0.9× 91 5.5k
Jonathan P. Moorman United States 38 1.6k 0.5× 1.2k 0.7× 464 0.5× 525 0.6× 928 1.0× 128 3.7k

Countries citing papers authored by Lei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Jin. A scholar is included among the top collaborators of Lei Jin 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 Lei Jin. Lei Jin 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
2.
Jin, Lei, et al.. (2025). Gold nanorod sensor based on etching technique for antibiotic resistance study of pathogenic bacteria. Microchemical Journal. 213. 113757–113757.
4.
Le, Kehao, Lei Jin, Fangfang Zhong, et al.. (2024). Tumor growth manifested in two-fifths of low-risk papillary thyroid microcarcinoma patients during active surveillance: data from a tertiary center in China. Frontiers in Endocrinology. 15. 2 indexed citations
6.
Jin, Lei, Liang Zhou, Tao Li, et al.. (2024). Whether Detection of Gene Mutations Could Identify Low- or High-Risk Papillary Thyroid Microcarcinoma? Data from 393 Cases Using the Next-Generation Sequencing. International Journal of Endocrinology. 2024. 1–12. 2 indexed citations
7.
Jin, Lei, Ju Huang, Lei Guo, et al.. (2023). CYP1B1 promotes colorectal cancer liver metastasis by enhancing the growth of metastatic cancer cells via a fatty acids-dependent manner. Journal of Gastrointestinal Oncology. 14(6). 2448–2465. 6 indexed citations
8.
Li, Feibo, et al.. (2022). Fine-Needle Pricking Test of the Parathyroid Gland during Thyroid Surgery in Predicting Parathyroid Function. International Journal of Endocrinology. 2022. 1–9. 3 indexed citations
10.
Gogoi, Himanshu, et al.. (2021). cGAS–STING and MyD88 Pathways Synergize in Ly6Chi Monocyte to Promote Streptococcus pneumoniae-Induced Late-Stage Lung IFNγ Production. Frontiers in Immunology. 12. 699702–699702. 7 indexed citations
11.
Chang, Binxia, Ang Huang, Miaomiao Gao, et al.. (2018). Plasma levels of soluble ST2, but not IL‐33, correlate with the severity of alcoholic liver disease. Journal of Cellular and Molecular Medicine. 23(2). 887–897. 18 indexed citations
12.
Hamann, Lutz, Javeed A. Shah, Annelies Verbon, et al.. (2018). The common HAQ STING variant impairs cGAS-dependent antibacterial responses and is associated with susceptibility to Legionnaires’ disease in humans. PLoS Pathogens. 14(1). e1006829–e1006829. 43 indexed citations
13.
Carroll, Elizabeth C., Lei Jin, Andrés Mori, et al.. (2016). The Vaccine Adjuvant Chitosan Promotes Cellular Immunity via DNA Sensor cGAS-STING-Dependent Induction of Type I Interferons. Immunity. 44(3). 597–608. 491 indexed citations breakdown →
14.
Zhou, Han, Lei Jin, Fuyi Chen, et al.. (2014). Mechanistic Studies of the Genetically Encoded Fluorescent Protein Voltage Probe ArcLight. PLoS ONE. 9(11). e113873–e113873. 39 indexed citations
15.
Jin, Lei, Hao Yin, Hong Fu, et al.. (2014). Experiences of 26 cases in liver transplantation across ABO blood group barrier. Zhonghua gan-dan waike zazhi. 20(10). 705–709. 1 indexed citations
16.
Roth, Susanne, Andrea Rottach, Amelie S. Lotz‐Havla, et al.. (2014). Rad50-CARD9 interactions link cytosolic DNA sensing to IL-1β production. Nature Immunology. 15(6). 538–545. 117 indexed citations
17.
McKee, Amy S., Matthew A. Burchill, Michael W. Munks, et al.. (2013). Host DNA released in response to aluminum adjuvant enhances MHC class II-mediated antigen presentation and prolongs CD4 T-cell interactions with dendritic cells. Proceedings of the National Academy of Sciences. 110(12). E1122–31. 112 indexed citations
18.
Jin, Lei, Limin Zhang, Keqiang Xie, Yang Ye, & Linyin Feng. (2011). Paeoniflorin suppresses the expression of intercellular adhesion molecule‐1 (ICAM‐1) in endotoxin‐treated human monocytic cells. British Journal of Pharmacology. 164(2b). 694–703. 33 indexed citations
19.
Liu, Xuelin, et al.. (2004). Characterization of variants in the RANTES gene in Han and Uiygur Chinese population and its implication in HIV--1 infection. Jiefangjun yixue zazhi. 29(6). 489–491. 2 indexed citations
20.
Jin, Lei, Paul A. McLean, Benjamin G. Neel, & Henry H. Wortis. (2002). Sialic Acid Binding Domains of CD22 Are Required For Negative Regulation of B Cell Receptor Signaling. The Journal of Experimental Medicine. 195(9). 1199–1205. 87 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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