Fu Jun Li

892 total citations
21 papers, 652 citations indexed

About

Fu Jun Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Fu Jun Li has authored 21 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Fu Jun Li's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Fu Jun Li is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Fu Jun Li collaborates with scholars based in United States, China and Australia. Fu Jun Li's co-authors include Ranu Surolia, Veena B. Antony, Randall S. Davis, Victor J. Thannickal, Huashi Li, Gang Liu, Mohammad Athar, Daniel M. Schreeder, Zheng Wang and João A. de Andrade and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Fu Jun Li

21 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu Jun Li United States 14 214 178 162 70 69 21 652
Bernhard Gerstmayer Germany 18 241 1.1× 71 0.4× 290 1.8× 86 1.2× 28 0.4× 29 803
Horng‐Chin Yan Taiwan 14 154 0.7× 167 0.9× 369 2.3× 71 1.0× 29 0.4× 27 907
Cynthia Lehé Saudi Arabia 12 513 2.4× 122 0.7× 168 1.0× 53 0.8× 18 0.3× 20 1.2k
Rod A. Rahimi United States 13 442 2.1× 217 1.2× 425 2.6× 18 0.3× 42 0.6× 20 1.2k
Shijie Yang China 18 149 0.7× 98 0.6× 224 1.4× 24 0.3× 130 1.9× 75 824
Alberto Bellini Italy 14 364 1.7× 324 1.8× 174 1.1× 28 0.4× 86 1.2× 17 1.1k
Zhiwei Dong China 15 56 0.3× 164 0.9× 304 1.9× 69 1.0× 46 0.7× 33 839
Anwer Habib United States 12 203 0.9× 128 0.7× 192 1.2× 36 0.5× 66 1.0× 17 681
Shahram Teimourian Iran 19 247 1.2× 53 0.3× 385 2.4× 20 0.3× 197 2.9× 78 1.1k
Jing‐Yao Liu China 11 70 0.3× 382 2.1× 136 0.8× 22 0.3× 22 0.3× 27 625

Countries citing papers authored by Fu Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Fu Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu Jun Li. 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 Fu Jun Li. The network helps show where Fu Jun Li may publish in the future.

Co-authorship network of co-authors of Fu Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fu Jun Li. A scholar is included among the top collaborators of Fu Jun Li 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 Fu Jun Li. Fu Jun Li 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
1.
Zhang, Lixia, Xinyue Zhou, Pengcheng Zhang, et al.. (2024). CRISPR screen of venetoclax response-associated genes identifies transcription factor ZNF740 as a key functional regulator. Cell Death and Disease. 15(8). 627–627. 2 indexed citations
2.
Singh, Pooja, et al.. (2024). Low dose cadmium exposure regulates miR-381–ANO1 interaction in airway epithelial cells. Scientific Reports. 14(1). 246–246. 3 indexed citations
3.
Dsouza, K.G., Ranu Surolia, Tejaswini Kulkarni, et al.. (2023). Use of a pulmosphere model to evaluate drug antifibrotic responses in interstitial lung diseases. Respiratory Research. 24(1). 96–96. 6 indexed citations
4.
Li, Fu Jun, Ranu Surolia, Pooja Singh, et al.. (2022). Fibrinogen mediates cadmium-induced macrophage activation and serves as a predictor of cadmium exposure in chronic obstructive pulmonary disease. American Journal of Physiology-Lung Cellular and Molecular Physiology. 322(4). L593–L606. 12 indexed citations
5.
Li, Fu Jun, Ranu Surolia, Huashi Li, et al.. (2021). Citrullinated vimentin mediates development and progression of lung fibrosis. Science Translational Medicine. 13(585). 86 indexed citations
6.
Surolia, Ranu, Fu Jun Li, Zheng Wang, et al.. (2021). NETosis in the pathogenesis of acute lung injury following cutaneous chemical burns. JCI Insight. 6(10). 31 indexed citations
7.
Surolia, Ranu, Fu Jun Li, Zheng Wang, et al.. (2019). Vimentin intermediate filament assembly regulates fibroblast invasion in fibrogenic lung injury. JCI Insight. 4(7). 65 indexed citations
8.
Li, Fu Jun, Ranu Surolia, Huashi Li, et al.. (2017). Autoimmunity to Vimentin Is Associated with Outcomes of Patients with Idiopathic Pulmonary Fibrosis. The Journal of Immunology. 199(5). 1596–1605. 65 indexed citations
9.
Surolia, Ranu, Fu Jun Li, Zheng Wang, et al.. (2017). 3D pulmospheres serve as a personalized and predictive multicellular model for assessment of antifibrotic drugs. JCI Insight. 2(2). e91377–e91377. 50 indexed citations
10.
Surolia, Ranu, Suman Karki, Zheng Wang, et al.. (2016). Attenuated heme oxygenase-1 responses predispose the elderly to pulmonary nontuberculous mycobacterial infections. American Journal of Physiology-Lung Cellular and Molecular Physiology. 311(5). L928–L940. 19 indexed citations
11.
Li, Fu Jun, Suman Karki, Ranu Surolia, et al.. (2015). Heme Oxygenase-1 Protects Corexit 9500A-Induced Respiratory Epithelial Injury across Species. PLoS ONE. 10(4). e0122275–e0122275. 21 indexed citations
12.
Li, Fu Jun, Alan Cantor, Ran Li, et al.. (2013). Validating The Prognostic Significance Of FCRL2 In Predicting IGHV Mutation Status, Clinical Disease Progression, and Survival In CLL. Blood. 122(21). 4140–4140. 3 indexed citations
13.
Li, Fu Jun, et al.. (2013). FCRL3 promotes TLR9‐induced B‐cell activation and suppresses plasma cell differentiation. European Journal of Immunology. 43(11). 2980–2992. 52 indexed citations
14.
Li, Fu Jun, Yoshiki Kubagawa, Landon Wilson, et al.. (2011). Enhanced levels of both the membrane-bound and soluble forms of IgM Fc receptor (FcμR) in patients with chronic lymphocytic leukemia. Blood. 118(18). 4902–4909. 25 indexed citations
15.
16.
Schreeder, Daniel M., et al.. (2008). FCRL6 distinguishes mature cytotoxic lymphocytes and is upregulated in patients with B‐cell chronic lymphocytic leukemia. European Journal of Immunology. 38(11). 3159–3166. 35 indexed citations
17.
Li, Fu Jun, Shouluan Ding, Elena A. Kashentseva, et al.. (2008). FCRL2 expression predicts IGHV mutation status and clinical progression in chronic lymphocytic leukemia. Blood. 112(1). 179–187. 47 indexed citations
18.
Huang, He, et al.. (2008). Clinicopathological significance of nodal expression in human gastric carcinoma. Cell Biology International. 32(3). 1 indexed citations
19.
Li, Fu Jun, Yufeng Li, Elena A. Kashentseva, et al.. (2007). FCRL2 Expression Is Predictive of IgVH Mutation Status and Clinical Progression in Chronic Lymphocytic Leukemia.. Blood. 110(11). 488–488. 1 indexed citations
20.
Arai, Yoko, Takashi Kondo, Kiyoshi Tanabe, et al.. (2002). Enhancement of Hyperthermia-induced Apoptosis by Local Anesthetics on Human Histiocytic Lymphoma U937 Cells. Journal of Biological Chemistry. 277(21). 18986–18993. 73 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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