Jun Guo
Impact in
- Aging top 2%
- Cell Biology top 1%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 16
- Cellular Mechanics and Interactions 9
- Microtubule and mitosis dynamics 4
- Cellular transport and secretion 4
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- Sphingolipid Metabolism and Signaling 5
- Signaling Pathways in Disease 3
- Co-authors
- Lin Dou (1 shared paper)Jian Li (1 shared paper)Xiuqing Huang (1 shared paper)Tao Shen (1 shared paper)Weiqing Tang (1 shared paper)Mingjing Yan (1 shared paper)Pietro V. De Camilli (4 shared papers)Lorenzo Pellegrini (2 shared papers)
- Journals
- International Journal of Nanomedicine (4 papers)Scientific Reports (3 papers)BMC Neuroscience (3 papers)Journal of Nanobiotechnology (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Guo
72 papers receiving 3.8k citations
Jun Guo's Hit Papers
Peers
Comparison fields: 5 of 161
- Aging 126
- Cell Biology 845
- Immunology and Allergy 231
- Neurology 237
- Molecular Biology 1.7k
Countries citing papers authored by Jun Guo
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
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-authors
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.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aging and aging-related diseases: from molecular mechanisms to interventions and treatments Hit paper breakdown → | 2022 | 1076 |
| 2 | 2002 | 395 | |
| 3 | 2011 | 223 | |
| 4 | 2018 | 160 | |
| 5 | 2012 | 137 | |
| 6 | 2012 | 134 | |
| 7 | 2002 | 134 | |
| 8 | 2003 | 119 | |
| 9 | 2004 | 114 | |
| 10 | 2005 | 93 | |
| 11 | 2014 | 89 | |
| 12 | Changes in adhesion complexes define stages in the differentiation of lens fiber cells. | 2001 | 83 |
| 13 | 2013 | 76 | |
| 14 | 2009 | 56 | |
| 15 | 2013 | 49 | |
| 16 | 2013 | 48 | |
| 17 | 2013 | 46 | |
| 18 | 2015 | 44 | |
| 19 | 2020 | 40 | |
| 20 | 2021 | 40 |
About Jun Guo
Jun Guo is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Physiology and Immunology and Allergy, having authored 76 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Erythrocyte Function and Pathophysiology (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Force Microscopy Techniques and Applications (4 papers), Microtubule and mitosis dynamics (4 papers), Cellular transport and secretion (4 papers), Signaling Pathways in Disease (3 papers) and Beetle Biology and Toxicology Studies (3 papers). The work is most often cited by research in Aging (126 citations), Cell Biology (845 citations), Immunology and Allergy (231 citations), Neurology (237 citations) and Molecular Biology (1.7k citations). Jun Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lin Dou, Jian Li, Xiuqing Huang, Tao Shen, Weiqing Tang, Mingjing Yan, Pietro V. De Camilli, Lorenzo Pellegrini, Markus Rene Wenk and Frederick Sachs. Their work appears in journals such as International Journal of Nanomedicine, Scientific Reports, BMC Neuroscience, Journal of Nanobiotechnology and Biomedicine & Pharmacotherapy.
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.