Hangfei Fu

1.0k citations
9 papers · 622 · 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

Papers in

    • Inflammasome and immune disorders 2
    • Angiogenesis and VEGF in Cancer 1
    • Circular RNAs in diseases 1
    • Biomarkers in Disease Mechanisms 1
    • Psoriasis: Treatment and Pathogenesis 1

Hangfei Fu

9 papers receiving 619 citations

Peers

Hangfei Fu
Comparison fields: 5 of 88
  • Immunology 206
  • Cancer Research 82
  • Molecular Biology 274
  • Dermatology 31
  • Rheumatology 47
Replace Jason S. Seidman with:
Jason S. Seidman United States
Jing Deng United States
Yuhan Meng China
Keun-Hyung Cho South Korea
Sara McCurdy United States
Mahmoud Al‐Azab China
Manisha Dixit United States
Yalei Dai China
Yao Wu China
Yael Alippe United States
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-authors

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 2016170
2 201681
3 201781
4 201980
5 201669
6 201559
7 201745
8 201923
9 201714

About Hangfei Fu

Hangfei Fu is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Dermatology and Epidemiology, having authored 9 papers that have together received 622 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Folate and B Vitamins Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Biomarkers in Disease Mechanisms (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper), Dermatology and Skin Diseases (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Immunology (206 citations), Cancer Research (82 citations), Molecular Biology (274 citations), Dermatology (31 citations) and Rheumatology (47 citations). Hangfei Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiaofeng Yang, Hong Wang, Candice Johnson, Ying Shao, Gayani Nanayakkara, Yafeng Li, Xinyuan Li, William Y. Yang, Pu Fang and Eric T. Choi. Their work appears in journals such as Journal of Hematology & Oncology, Redox Biology, Frontiers in Oncology, Arteriosclerosis Thrombosis and Vascular 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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