Ling Lu

3.5k total citations · 1 hit paper
63 papers, 2.7k citations indexed

About

Ling Lu is a scholar working on Immunology, Surgery and Oncology. According to data from OpenAlex, Ling Lu has authored 63 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 11 papers in Surgery and 11 papers in Oncology. Recurrent topics in Ling Lu's work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (22 papers) and Immunotherapy and Immune Responses (12 papers). Ling Lu is often cited by papers focused on Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (22 papers) and Immunotherapy and Immune Responses (12 papers). Ling Lu collaborates with scholars based in China, United States and France. Ling Lu's co-authors include Fan Pan, Joseph Barbi, Song Guo Zheng, Xuehao Wang, Jian Gu, Berish Y. Rubin, H E Broxmeyer, E Platzer, L Juliano and Carl Feit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Ling Lu

62 papers receiving 2.7k citations

Hit Papers

The regulation of immune tolerance by FOXP3 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Lu China 27 1.5k 644 462 365 328 63 2.7k
Masaki Inoue Japan 33 1.1k 0.7× 1.1k 1.7× 768 1.7× 463 1.3× 161 0.5× 93 3.2k
Qi Peng United Kingdom 31 1.6k 1.0× 824 1.3× 242 0.5× 175 0.5× 312 1.0× 65 2.9k
Anders Etzerodt Denmark 24 1.2k 0.7× 785 1.2× 502 1.1× 140 0.4× 253 0.8× 46 2.7k
Taichi Ezaki Japan 26 1.3k 0.9× 597 0.9× 412 0.9× 189 0.5× 245 0.7× 91 2.5k
Michela Francalanci Italy 23 1.1k 0.7× 574 0.9× 979 2.1× 117 0.3× 330 1.0× 36 2.7k
José C. Crispín United States 40 3.7k 2.4× 898 1.4× 834 1.8× 263 0.7× 198 0.6× 89 5.2k
Takashi Yahata Japan 25 1.5k 1.0× 809 1.3× 599 1.3× 667 1.8× 227 0.7× 65 3.0k
Toshihiro Nanki Japan 33 1.8k 1.1× 861 1.3× 1.4k 3.0× 381 1.0× 211 0.6× 154 4.0k
Jose‐Carlos Gutierrez‐Ramos United States 13 1.3k 0.8× 385 0.6× 446 1.0× 245 0.7× 150 0.5× 13 2.4k
Motomi Yamazaki Japan 19 785 0.5× 565 0.9× 277 0.6× 100 0.3× 325 1.0× 35 1.8k

Countries citing papers authored by Ling Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Lu. A scholar is included among the top collaborators of Ling 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 Ling Lu. Ling Lu 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.
Wang, Qi, et al.. (2021). Clinical and Basic Research Progress on Treg-Induced Immune Tolerance in Liver Transplantation. Frontiers in Immunology. 12. 535012–535012. 19 indexed citations
3.
Gan, Xiaojie, Rongsheng Zhang, Jian Gu, et al.. (2020). Acidic Microenvironment Regulates the Severity of Hepatic Ischemia/Reperfusion Injury by Modulating the Generation and Function of Tregs via the PI3K-mTOR Pathway. Frontiers in Immunology. 10. 2945–2945. 27 indexed citations
4.
Gao, Ji, Jian Gu, Xiongxiong Pan, et al.. (2019). Blockade of miR-142-3p promotes anti-apoptotic and suppressive function by inducing KDM6A-mediated H3K27me3 demethylation in induced regulatory T cells. Cell Death and Disease. 10(5). 332–332. 28 indexed citations
5.
Ni, Xuhao, Yongxiang Xia, Shun Zhou, et al.. (2019). Reduction in murine acute GVHD severity by human gingival tissue-derived mesenchymal stem cells via the CD39 pathways. Cell Death and Disease. 10(1). 13–13. 22 indexed citations
6.
Ni, Xuhao, Jin‐Hui Tao, Joseph Barbi, et al.. (2018). YAP Is Essential for Treg-Mediated Suppression of Antitumor Immunity. Cancer Discovery. 8(8). 1026–1043. 168 indexed citations
7.
Wu, Jianbo, Jian Gu, Shun Zhou, et al.. (2018). Anti-IL-22 Antibody Attenuates Acute Graft-versus-Host Disease via Increasing Foxp3+T Cell through Modulation of CD11b+Cell Function. Journal of Immunology Research. 2018. 1–13. 6 indexed citations
8.
Rao, Jianhua, Feng Zhang, Lu Hao, et al.. (2017). Effects of multimodal fast-track surgery on liver transplantation outcomes. Hepatobiliary & pancreatic diseases international. 16(4). 364–369. 24 indexed citations
9.
Xia, Yongxiang, Haoming Zhou, Feipeng Zhu, et al.. (2017). Diagnosis and treatment of pulmonary cavity after liver transplantation. Annals of Translational Medicine. 5(15). 301–301. 1 indexed citations
10.
Lu, Ling, Joseph Barbi, & Fan Pan. (2017). The regulation of immune tolerance by FOXP3. Nature reviews. Immunology. 17(11). 703–717. 413 indexed citations breakdown →
11.
Wang, Kunpeng, Jian Gu, Xuhao Ni, et al.. (2016). CD25 signaling regulates the function and stability of peripheral Foxp3+ regulatory T cells derived from the spleen and lymph nodes of mice. Molecular Immunology. 76. 35–40. 10 indexed citations
12.
Gu, Jian, Xuhao Ni, Xiongxiong Pan, et al.. (2016). Human CD39hi regulatory T cells present stronger stability and function under inflammatory conditions. Cellular and Molecular Immunology. 14(6). 521–528. 159 indexed citations
13.
Lü, Hao, Ling Lu, Zhenchao Xu, et al.. (2014). Tauroursodeoxycholic acid and 4-phenyl butyric acid alleviate endoplasmic reticulum stress and improve prognosis of donation after cardiac death liver transplantation in rats. Hepatobiliary & pancreatic diseases international. 13(6). 586–593. 12 indexed citations
14.
Liu, Ya, Qin Lan, Ling Lu, et al.. (2013). Phenotypic and functional characteristic of a newly identified CD8+Foxp3−CD103+ regulatory T cells. Journal of Molecular Cell Biology. 6(1). 81–92. 64 indexed citations
15.
Lu, Ling, Jilin Ma, Qin Lan, et al.. (2011). All-Trans Retinoic Acid Promotes TGF-β-Induced Tregs via Histone Modification but Not DNA Demethylation on Foxp3 Gene Locus. PLoS ONE. 6(9). e24590–e24590. 95 indexed citations
16.
Lu, Ling, et al.. (2010). Rapamycin Promotes the Expansion of CD4+ Foxp3+ Regulatory T Cells After Liver Transplantation. Transplantation Proceedings. 42(5). 1755–1757. 18 indexed citations
17.
Lu, Ling, Xiaohui Zhou, Julie Wang, Song Guo Zheng, & David A. Horwitz. (2010). Characterization of Protective Human CD4+CD25+ FOXP3+ Regulatory T Cells Generated with IL-2, TGF-β and Retinoic Acid. PLoS ONE. 5(12). e15150–e15150. 126 indexed citations
18.
Lu, Ling, Yue Yu, Guoqiang Li, et al.. (2009). CD8+CD103+ regulatory T cells in spontaneous tolerance of liver allografts. International Immunopharmacology. 9(5). 546–548. 26 indexed citations
19.
Lu, Ling, et al.. (1992). BCR/ABL confers growth factor independence upon a murine myeloid cell line.. PubMed. 6(8). 796–800. 38 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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