Fu Jun Li

892 citations
21 papers · 652 · h-index 14

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Chronic Lymphocytic Leukemia Research

Papers in

Fu Jun Li

21 papers receiving 650 citations

Peers

Fu Jun Li
Comparison fields: 5 of 89
  • Immunology 214
  • Genetics 69
  • Pulmonary and Respiratory Medicine 178
  • Developmental Neuroscience 18
  • Health, Toxicology and Mutagenesis 57
Replace Rod A. Rahimi with:
Rod A. Rahimi United States
Shahram Teimourian Iran
Jing Zhou China
Chang‐Ching Yeh Taiwan
Bernhard Gerstmayer Germany
Ping‐Ping Kuang United States
Shijie Yang China
Hongyan Lu China
Francesca Magno Italy
Kai-Hui Sun China
Fu Jun Li relative to Rod A. Rahimi United States Rod A. Rahimi's profile →
Citations per field
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Rod A. Rahimi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Fu Jun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fu Jun Li Line = papers co-authored together Fu Jun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 200273
3 201765
4 201965
5 201352
6 201750
7 200847
8 200835
9 202131
10 201731
11 201125
12 200924
13 201521
14 201619
15 202212
16 20236
17 20243
18 20133
19 20242
20 20081

About Fu Jun Li

Fu Jun Li is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Genetics and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 652 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), T-cell and B-cell Immunology (3 papers), Occupational exposure and asthma (3 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Medical Imaging and Pathology Studies (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (214 citations), Genetics (69 citations), Pulmonary and Respiratory Medicine (178 citations), Developmental Neuroscience (18 citations) and Health, Toxicology and Mutagenesis (57 citations). Fu Jun Li has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Veena B. Antony, Ranu Surolia, Randall S. Davis, Victor J. Thannickal, Huashi Li, Gang Liu, Mohammad Athar, Daniel M. Schreeder, João A. de Andrade and Zheng Wang. Their work appears in journals such as Blood, American Journal of Physiology-Lung Cellular and Molecular Physiology, JCI Insight, European Journal of Immunology and Science Translational Medicine.

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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