Jun-Lin Guan

1.6k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Jun-Lin Guan is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Jun-Lin Guan has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Jun-Lin Guan's work include Cell Adhesion Molecules Research (4 papers), Cellular Mechanics and Interactions (3 papers) and Autophagy in Disease and Therapy (2 papers). Jun-Lin Guan is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Cellular Mechanics and Interactions (3 papers) and Autophagy in Disease and Therapy (2 papers). Jun-Lin Guan collaborates with scholars based in United States, Norway and Japan. Jun-Lin Guan's co-authors include Mark E. Diebel, Julien Wicinski, Olivier Cabaud, Daniel Birnbaum, Ming Luo, Hasan Körkaya, Emmanuelle Charafe‐Jauffret, Max S. Wicha, Gabriela Dontu and Christophe Ginestier and has published in prestigious journals such as Journal of Clinical Investigation, The EMBO Journal and Oncogene.

In The Last Decade

Jun-Lin Guan

8 papers receiving 1.2k citations

Hit Papers

CXCR1 blockade selectively targets human breast cancer st... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Jun-Lin Guan
Comparison fields: 5 of 92
  • Molecular Biology 660
  • Oncology 565
  • Immunology 272
  • Epidemiology 205
  • Cancer Research 203
Replace David S. Garlick with:
David S. Garlick United States
Sunish Mohanan United States
Quansheng Song China
Takeharu Sakamoto Japan
Martin Holcmann Austria
Anke S. Lonsdorf Germany
Haruko Hayasaka Japan
Dalit Barkan Israel
Karen E. Hunter United States
Didier Jean France
David S. Garlick United States View profile →
Citations per field, relative to Jun-Lin Guan
Jun-Lin Guan · 1×
Citations per year, relative to Jun-Lin Guan
Jun-Lin Guan · 1×

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 of co-authors of Jun-Lin Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-Lin Guan. A scholar is included among the top collaborators of Jun-Lin Guan 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 Jun-Lin Guan. Jun-Lin Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 23
2 205
3 178
4
CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts breakdown →
588
5 53
6 75
7 86
8 18

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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