Hangfei Fu

1.0k citations
9 papers · 607 indexed · h-index 9

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune responses and vaccinations
    • Psoriasis: Treatment and Pathogenesis
    • Atherosclerosis and Cardiovascular Diseases
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • interferon and immune responses 2
    • Atherosclerosis and Cardiovascular Diseases 2

Hangfei Fu

9 papers receiving 604 citations

Peers

Hangfei Fu
Comparison fields: 5 of 90
  • Immunology 221
  • Cancer Research 92
  • Molecular Biology 298
  • Dermatology 36
  • Rheumatology 53
Replace Jason S. Seidman with:
Jason S. Seidman United States
Keisuke Omori Japan
Tuantuan Zhao United States
Na Peng China
Ariel C. Bulua United States
Yumei Liu China
Xianguo Chen China
Manisha Dixit United States
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Hangfei Fu relative to Jason S. Seidman United States Jason S. Seidman's profile →
Citations per field
00.5×5.3×
Jason S. Seidman · 1×
Citations per year

Countries citing papers authored by Hangfei Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hangfei Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hangfei Fu, 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 Hangfei Fu Line = papers co-authored together Hangfei Fu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201920
2 201978
3 201714
4 201745
5 201780
6 201681
7 201668
8 2016162
9 201559

About Hangfei Fu

Hangfei Fu is a scholar working on Immunology, Dermatology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 9 papers that have together received 607 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Inflammasome and immune disorders (2 papers), RNA modifications and cancer (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Immunology (221 citations), Cancer Research (92 citations), Molecular Biology (298 citations), Dermatology (36 citations) and Rheumatology (53 citations). Hangfei Fu has collaborated with scholars based in United States and China. Frequent co-authors include Xiaofeng Yang, Hong Wang, Candice Johnson, Ying Shao, Gayani Nanayakkara, Yafeng Li, William Y. Yang, Xinyuan Li, Liselotte E. Jensen and Eric T. Choi. Their work appears in journals such as Journal of Hematology & Oncology, Frontiers in Physiology, Frontiers in Oncology, Redox Biology and Journal of Biological Chemistry.

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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