Jun Gu
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
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- RNA Interference and Gene Delivery 4
-
- Nerve injury and regeneration 7
- Co-authors
- Hongwei Ren (2 shared papers)Su Wu (2 shared papers)Xiu‐Lan Sun (6 shared papers)Feng Liu (1 shared paper)Jiahuai Han (4 shared papers)Liguo New (1 shared paper)Richard J. Ulevitch (1 shared paper)Yong Jiang (1 shared paper)
- Journals
- Nutrition & Metabolism (2 papers)Anti-Cancer Drugs (2 papers)Biochemical and Biophysical Research Communications (2 papers)Clinical Nutrition (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Gu
84 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Biological Psychiatry 57
- Cancer Research 312
- Immunology 401
- Nephrology 126
- Neurology 149
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Gu. The network helps show where Jun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 429 | |
| 2 | 2011 | 228 | |
| 3 | 2012 | 152 | |
| 4 | 2013 | 117 | |
| 5 | 2013 | 110 | |
| 6 | 2013 | 99 | |
| 7 | 2010 | 94 | |
| 8 | 2013 | 75 | |
| 9 | 2015 | 69 | |
| 10 | 2013 | 51 | |
| 11 | 2013 | 50 | |
| 12 | 2019 | 50 | |
| 13 | 2021 | 47 | |
| 14 | 2014 | 45 | |
| 15 | 2017 | 44 | |
| 16 | 2012 | 42 | |
| 17 | 2014 | 41 | |
| 18 | 2011 | 40 | |
| 19 | 2016 | 40 | |
| 20 | 2013 | 39 |
About Jun Gu
Jun Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), RNA Interference and Gene Delivery (4 papers), Autophagy in Disease and Therapy (4 papers), Immune Response and Inflammation (4 papers), interferon and immune responses (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Cancer Research (312 citations), Immunology (401 citations), Nephrology (126 citations) and Neurology (149 citations). Jun Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongwei Ren, Su Wu, Xiu‐Lan Sun, Feng Liu, Jiahuai Han, Liguo New, Richard J. Ulevitch, Yong Jiang, Hermann Gram and Ming Zhao. Their work appears in journals such as Nutrition & Metabolism, Anti-Cancer Drugs, Biochemical and Biophysical Research Communications, Clinical Nutrition and PLoS ONE.
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.