Bo Fu

1.2k citations
55 papers · 910 · h-index 16

Impact in

Papers in

    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 6
    • RNA modifications and cancer 4

Bo Fu

53 papers receiving 903 citations

Peers

Bo Fu
Comparison fields: 5 of 103
  • Biological Psychiatry 41
  • Immunology 307
  • Cancer Research 122
  • Rheumatology 115
  • Neurology 55
Replace Xiaoqing Luo with:
Xiaoqing Luo China
Mary E. Ziegler United States
Zongning Miao China
Patrick Gourmelon France
Nicholas R. Hum United States
Erica Dugnani Italy
Jennifer Ryan United States
Yvonne A. Birney Ireland
Xianding Sun China
Bo Fu relative to Xiaoqing Luo China Xiaoqing Luo's profile →
Citations per field
00.5×10×17×
Xiaoqing Luo · 1×
Citations per year

Countries citing papers authored by Bo Fu

Since Specialization
Citations

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

Fields of papers citing papers by Bo Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011140
2 201586
3 201467
4 201865
5 201952
6 201850
7 202248
8 202040
9 201736
10 201325
11 201821
12 201220
13 201218
14 201618
15
IMP3 expression in biopsy specimens of colorectal cancer predicts lymph node metastasis and TNM stage.
201518
16 201715
17 201415
18 202114
19 202214
20 201513

About Bo Fu

Bo Fu is a scholar working on Immunology, Molecular Biology, Rheumatology, Cancer Research and Oncology, having authored 55 papers that have together received 910 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Immune Cell Function and Interaction (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Immunology (307 citations), Cancer Research (122 citations), Rheumatology (115 citations) and Neurology (55 citations). Bo Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lu‐Gang Yu, Jonathan M. Rhodes, Chen Chen, Qicheng Zhao, Anqi Zhang, Hans H. Wandall, Johannes W. Pedersen, Hannah Barrow, Xiuli Guo and Jianqiong Zhang. Their work appears in journals such as HLA, Translational Psychiatry, Epigenomics, Journal of Thoracic and Cardiovascular Surgery and Medicine.

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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