Fu Jun Li

939 citations
22 papers · 705 · h-index 14

Impact in

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

Papers in

Fu Jun Li

22 papers receiving 701 citations

Peers

Fu Jun Li
Comparison fields: 5 of 81
  • Immunology 195
  • Genetics 64
  • Pulmonary and Respiratory Medicine 182
  • Health, Toxicology and Mutagenesis 60
  • Developmental Neuroscience 14
Replace Chang‐Ching Yeh with:
Chang‐Ching Yeh Taiwan
Kathrin Mutze Germany
Jing Zhou China
Kamil Grubczak Poland
Morgan G. Blaylock United Kingdom
Lukasz Andrzej Wujak Germany
Yuanzhi Xu China
Kristin M. Fries United States
Francesca Magno Italy
Agata Szade Poland
Fu Jun Li relative to Chang‐Ching Yeh Taiwan Chang‐Ching Yeh's profile →
Citations per field
00.5×2×3×4×4.6×
Chang‐Ching Yeh · 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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 200275
3 201971
4 201767
5 201355
6 201751
7 200848
8 202137
9 200837
10 201735
11 201126
12 200924
13 201621
14 201521
15 202214
16 20178
17 20236
18 20245
19 20245
20 20134

About Fu Jun Li

Fu Jun Li is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Immunology, Rheumatology and Pathology and Forensic Medicine, having authored 22 papers that have together received 705 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), T-cell and B-cell Immunology (3 papers), Occupational exposure and asthma (3 papers), Immune Cell Function and Interaction (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Immunology (195 citations), Genetics (64 citations), Pulmonary and Respiratory Medicine (182 citations), Health, Toxicology and Mutagenesis (60 citations) and Developmental Neuroscience (14 citations). Fu Jun Li has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Veena B. Antony, Ranu Surolia, Randall S. Davis, Victor John Thannickal, Huashi Li, Gang Liu, Mohammad S. Athar, Daniel M. Schreeder, Zheng Wang and João A. de Andrade. Their work appears in journals such as JCI Insight, Blood, American Journal of Physiology-Lung Cellular and Molecular Physiology, European Journal of Immunology and The Journal of Immunology.

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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