Jun‐Lin Guan

47.9k citations
202 papers · 24.9k indexed · 7 hit papers · h-index 78

Jun‐Lin Guan

198 papers receiving 24.6k citations

Hit Papers

Focal adhesion kinase and its signali...645199020262002201410002.0k3.0k

Peers

Jun‐Lin Guan
Comparison fields: 5 of 174
  • Immunology and Allergy 6.9k
  • Cell Biology 7.3k
  • Cancer Research 3.6k
  • Molecular Biology 13.2k
  • Physiology 776
Replace Elisabetta Dejana with:
Elisabetta Dejana Italy
Gary Bokoch United States
Shoukat Dedhar Canada
Joan S. Brugge United States
Brian Seed United States
Francisco Sánchez‐Madrid Spain
Jeffrey L. Wrana Canada
Lena Claesson‐Welsh Sweden
Elaine W. Raines United States
Jeffrey D. Esko United States
Jun‐Lin Guan relative to Elisabetta Dejana Italy Elisabetta Dejana's profile →
Citations per field
00.5×2.9×
Elisabetta Dejana · 1×
Citations per year

Countries citing papers authored by Jun‐Lin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Lin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Lin Guan. 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 Jun‐Lin Guan. The network helps show where Jun‐Lin Guan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202237
4 20219
5 202026
6 202078
7 201744
8 2016111
9 201656
10 2013226
11 201349
12 2013143
13
Multispecialty physician networks in Ontario.
201343
14 201177
15
Nutrient-dependent mTORC1 Association with the ULK1–Atg13–FIP200 Complex Required for Autophagybreakdown →
20091642
16 2009174
17 200942
18 200574
19 200586
20 2002100

About Jun‐Lin Guan

Jun‐Lin Guan is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 202 papers that have together received 24.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (83 papers), Autophagy in Disease and Therapy (60 papers), Cellular Mechanics and Interactions (54 papers), Protease and Inhibitor Mechanisms (16 papers), Cancer Cells and Metastasis (15 papers), Protein Kinase Regulation and GTPase Signaling (15 papers), Ubiquitin and proteasome pathways (13 papers) and Angiogenesis and VEGF in Cancer (12 papers). The work is most often cited by research in Immunology and Allergy (6.9k citations), Cell Biology (7.3k citations) and Cancer Research (3.6k citations). Jun‐Lin Guan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chun-Chi Liang, Ann Y. Park, Richard O. Hynes, Jihe Zhao, David Shalloway, Xiaofeng Zhao, Leslie A. Cary, Xiaoyang Wu, Syn Kok Yeo and Hsiang‐Cheng Chen. Their work appears in journals such as Journal of Biological Chemistry, Autophagy, The Journal of Cell Biology, Molecular and Cellular Biology and Molecular Biology of the Cell.

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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