Fu Qiu

424 citations
13 papers · 366 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immune cells in cancer
    • NF-κB Signaling Pathways

Papers in

    • Immune Response and Inflammation 7
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3
    • Immune cells in cancer 2
    • interferon and immune responses 1
    • RNA Interference and Gene Delivery 3

Fu Qiu

13 papers receiving 363 citations

Peers

Fu Qiu
Comparison fields: 5 of 67
  • Immunology 239
  • Cancer Research 56
  • Microbiology 17
  • Neurology 17
  • Biological Psychiatry 5
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Tyralee Goo United States
Gaetana Pezzino Italy
Rachael Huff United States
Heather Evans‐Marin United States
Takeshi Koga Japan
Carlos Plaza‐Sirvent Germany
Julian M. Stark Sweden
Yoshitaka Oyama Japan
Tabinda Hussain Australia
L. Michael Thomas United States
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Citations per field
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Citations per year

Countries citing papers authored by Fu Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Fu Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Fu Qiu, 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 Qiu Line = papers co-authored together Fu Qiu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201179
2 200566
3 201537
4 201037
5 201033
6 200727
7 201524
8 201515
9 200714
10 201211
11 200710
12 20127
13 20136

About Fu Qiu

Fu Qiu is a scholar working on Immunology, Molecular Biology, Surgery, Oncology and Epidemiology, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Immunotherapy and Immune Responses (5 papers), Pancreatitis Pathology and Treatment (3 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers), NF-κB Signaling Pathways (2 papers), Immune cells in cancer (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (239 citations), Cancer Research (56 citations), Microbiology (17 citations), Neurology (17 citations) and Biological Psychiatry (5 citations). Fu Qiu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zhengrong Cui, Andrei E. Medvedev, Yanbao Xiong, Larry M. Wahl, Wenji Piao, Chang Song, Michael Murphy, Marco Quevedo-Díaz, Andrei I. Chapoval and Tissa T. Manavalan. Their work appears in journals such as Journal of Biological Chemistry, Cancer Immunology Immunotherapy, Inflammation Research, Pharmaceutical Research and Journal of Innate Immunity.

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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