Ge Fu

818 citations
11 papers · 675 · h-index 10

Impact in

  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Toxin Mechanisms and Immunotoxins
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • Glycosylation and Glycoproteins Research 1
    • Heat shock proteins research 1
    • Ubiquitin and proteasome pathways 1
    • Toxin Mechanisms and Immunotoxins 3
    • Immune Response and Inflammation 2

Ge Fu

11 papers receiving 671 citations

Peers

Ge Fu
Comparison fields: 5 of 76
  • Pharmacology 62
  • Immunology 148
  • Toxicology 19
  • Epidemiology 161
  • Molecular Biology 351
Replace Vijayakumar Gosu with:
Vijayakumar Gosu South Korea
Alexandre E. Nowill Brazil
Saikat Chakrabarti India
Shengyuan Zhang China
Zahra Khan South Korea
Amy Fung United States
Yun Xing China
Shih‐Shun Chen Taiwan
Chunlan Feng China
Jinlong Yu China
Ge Fu relative to Vijayakumar Gosu South Korea Vijayakumar Gosu's profile →
Citations per field
00.5×3.0×
Vijayakumar Gosu · 1×
Citations per year

Countries citing papers authored by Ge Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ge Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016138
2 2014132
3 2017122
4 201872
5 201560
6 201747
7 201745
8 201630
9 201716
10 20129
11 20144

About Ge Fu

Ge Fu is a scholar working on Molecular Biology, Immunology, Epidemiology, Cell Biology and Infectious Diseases, having authored 11 papers that have together received 675 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (3 papers), Influenza Virus Research Studies (2 papers), Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Heat shock proteins research (1 paper), Ubiquitin and proteasome pathways (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Pharmacology (62 citations), Immunology (148 citations), Toxicology (19 citations), Epidemiology (161 citations) and Molecular Biology (351 citations). Ge Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Demin Zhou, Lihe Zhang, Longlong Si, Sulong Xiao, Yiming Wu, Qing Xia, Peng‐Fei Tu, Xiaomin Song, Ziwei Zhang and Hai‐Ning Lv. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Society of Nephrology, Oncotarget, EBioMedicine and Journal of Separation Science.

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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