Jun Guo

4.7k citations
75 papers · 3.5k indexed · 1 hit paper · h-index 26

Impact in

  • Aging top 2%
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

    • Cellular Mechanics and Interactions 12
    • Microtubule and mitosis dynamics 4
    • Cellular transport and secretion 4

Jun Guo

73 papers receiving 3.4k citations

Hit Papers

Aging and aging-related diseases: from molecular mechanisms to interventions and treatments 2022 · 808 citations
8082022202620232024250500750

Peers

Jun Guo
Comparison fields: 5 of 155
  • Aging 104
  • Cell Biology 847
  • Immunology and Allergy 236
  • Neurology 264
  • Molecular Biology 1.7k
Replace Kenji Moriyama with:
Kenji Moriyama Japan
Ying Luo China
Joffrey Zoll France
Nicole Noren Hooten United States
Jian Zhao China
Jianhua Feng China
Hidenori Ito Japan
Nina Wettschureck Germany
Kristine E. Kamm United States
Domenico Bosco Switzerland
Jun Guo relative to Kenji Moriyama Japan Kenji Moriyama's profile →
Citations per field
00.5×6.7×
Kenji Moriyama · 1×
Citations per year

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20246
4 20237
5 20233
6
Aging and aging-related diseases: from molecular mechanisms to interventions and treatments
Hit paper breakdown →
2022808
7 20226
8 20229
9 202117
10 20205
11 20197
12 201816
13 201348
14 2012132
15 20115
16 200922
17 200739
18 200592
19 200312
20 2002386

About Jun Guo

Jun Guo is a scholar working on Cell Biology, Aging, Neurology, Biological Psychiatry and Developmental Neuroscience, having authored 75 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Erythrocyte Function and Pathophysiology (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Force Microscopy Techniques and Applications (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Microtubule and mitosis dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Aging (104 citations), Cell Biology (847 citations), Immunology and Allergy (236 citations), Neurology (264 citations) and Molecular Biology (1.7k citations). Jun Guo has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiuqing Huang, Weiqing Tang, Mingjing Yan, Lin Dou, Tao Shen, Jian Li, Pietro De Camilli, Markus R. Wenk, Lorenzo Pellegrini and Frederick Sachs. Their work appears in journals such as International Journal of Nanomedicine, Scientific Reports, BMC Neuroscience, Biomedicine & Pharmacotherapy and Antioxidants and Redox Signaling.

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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2026