Fukun Guo

4.0k citations
80 papers · 3.2k indexed · 1 hit paper · h-index 30
Topics
Protein Kinase Regulation and GTPase Signaling (14 papers)T-cell and B-cell Immunology (13 papers)PI3K/AKT/mTOR signaling in cancer (12 papers)

In The Last Decade

Fukun Guo

80 papers receiving 3.1k citations

Hit Papers

Rational design and characterization of a Rac GTPase-spec...20042026201120182004250500750

Peers

Fukun Guo
Comparison fields: 5 of 114
  • Molecular Biology 1.7k
  • Cell Biology 738
  • Immunology 714
  • Oncology 606
  • Physiology 295
Replace Zena Werb with:
Zena Werb United States
Karl N. Miller United States
Christine B. Gurniak Germany
Dianqing Wu United States
Ruth Lyck Switzerland
William H. Brissette United States
Klaus‐Dieter Fischer Germany
Anton Roebroek Belgium
Simone Barbero Italy
Jorge Laborda Spain
Fukun Guo relative to Zena Werb United States Zena Werb's profile →
Citations per field
00.5×4.3×
Zena Werb · 1×
Citations per year

Countries citing papers authored by Fukun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fukun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fukun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Fukun Guo. A scholar is included among the top collaborators of Fukun Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fukun Guo. Fukun Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 43
2 3
3 11
4 3
5 6
6 41
7 19
8 47
9 25
10 1
11 8
12 82
13 55
14 25
15 31
16 50
17
Rational design and characterization of a Rac GTPase-specific small molecule inhibitorbreakdown →
937
18 44
19 75
20 7

About Fukun Guo

Fukun Guo is a scholar working on Immunology, Hematology and Cell Biology, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (14 papers), T-cell and B-cell Immunology (13 papers) and PI3K/AKT/mTOR signaling in cancer (12 papers). The work is most often cited by research in Immunology and Allergy (274 citations), Cell Biology (738 citations) and Immunology (714 citations). Fukun Guo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yi Zheng, Yuan Gao, J. Bradley Dickerson, Jie Zheng, Ming Liu, David A. Williams, José A. Cancelas, Marie–Dominique Filippi, Jun‐Qi Yang and Khalid W. Kalim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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