Xiaofeng Fu

1.8k citations
34 papers · 1.3k · 1 hit paper · h-index 20

Impact in

Papers in

Xiaofeng Fu

33 papers receiving 1.3k citations

Xiaofeng Fu's Hit Papers

A conserved PLPLRT/SD motif of STING mediates the recruitment and activation of TBK1 2019 · 342 citations
3420+2+4Years since publication100200300

Peers

Xiaofeng Fu
Comparison fields: 5 of 110
  • Structural Biology 146
  • Immunology 337
  • Cell Biology 258
  • Infectious Diseases 245
  • Genetics 249
Replace Nadav Elad with:
Nadav Elad Israel
Ambroise Desfosses France
Pietro Lupetti Italy
Anna Sartori-Rupp France
Francisco Javier Chichón Spain
Naoyuki Miyazaki Japan
Cheri M. Hampton United States
Ana Cuervo Spain
Ioan Iacovache Switzerland
Johanna L. Höög Sweden
Xiaofeng Fu relative to Nadav Elad Israel Nadav Elad's profile →
Citations per field
00.5×2.8×
Nadav Elad · 1×
Citations per year

Countries citing papers authored by Xiaofeng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A conserved PLPLRT/SD motif of STING mediates the recruitment and activation of TBK1
Hit paper breakdown →
2019342
2 2011117
3 201497
4 201276
5 201470
6 202063
7 201953
8 201246
9 201444
10 200443
11 200938
12 201336
13 202036
14 202134
15 201426
16 201925
17 202424
18 202024
19 201123
20 202320

About Xiaofeng Fu

Xiaofeng Fu is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Structural Biology and Cell Biology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (4 papers), Protist diversity and phylogeny (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Virus-based gene therapy research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Structural Biology (146 citations), Immunology (337 citations), Cell Biology (258 citations), Infectious Diseases (245 citations) and Genetics (249 citations). Xiaofeng Fu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniela Nicastro, Thomas Heuser, Jianfeng Lin, Richard W. Linck, Mary E. Porter, Banumathi Sankaran, Baoyu Zhao, Fanxiu Zhu, Xueyun Zheng and Pingwei Li. Their work appears in journals such as AMBIO, Proceedings of the National Academy of Sciences, Viruses, Structure and Journal of Nanoscience and Nanotechnology.

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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