Jun Gu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Spinal Cord Injury Research 8
- 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)Yong Jiang (1 shared paper)Lili Feng (1 shared paper)Richard J. Ulevitch (1 shared paper)
- Journals
- PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (2 papers)Nutrition & Metabolism (2 papers)Clinical Nutrition (2 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Gu
85 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 113
- Neurology 157
- Immunology 301
- Health, Toxicology and Mutagenesis 210
- Cancer Research 197
- Biological Psychiatry 17
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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 427 | |
| 2 | 2011 | 231 | |
| 3 | 2012 | 156 | |
| 4 | 2013 | 124 | |
| 5 | 2013 | 116 | |
| 6 | 2013 | 102 | |
| 7 | 2010 | 95 | |
| 8 | 2013 | 81 | |
| 9 | 2015 | 68 | |
| 10 | 2013 | 52 | |
| 11 | 2013 | 52 | |
| 12 | 2019 | 52 | |
| 13 | 2014 | 47 | |
| 14 | 2017 | 46 | |
| 15 | 2011 | 45 | |
| 16 | 2012 | 45 | |
| 17 | 2014 | 43 | |
| 18 | 2013 | 39 | |
| 19 | 2016 | 39 | |
| 20 | 2013 | 37 |
About Jun Gu
Jun Gu is a scholar working on Pathology and Forensic Medicine, Cancer Research, Cellular and Molecular Neuroscience, Neurology and Biomaterials, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (8 papers), Immune Response and Inflammation (4 papers), Pluripotent Stem Cells Research (4 papers), Toxic Organic Pollutants Impact (4 papers), Nerve injury and regeneration (4 papers), Autophagy in Disease and Therapy (4 papers), Genetic Associations and Epidemiology (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Neurology (157 citations), Immunology (301 citations), Health, Toxicology and Mutagenesis (210 citations), Cancer Research (197 citations) and Biological Psychiatry (17 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, Yong Jiang, Lili Feng, Richard J. Ulevitch, Hermann Gram and Liguo New. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Nutrition & Metabolism, Clinical Nutrition and Anti-Cancer Drugs.
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.