Jun Gu
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
-
- Viral gastroenteritis research and epidemiology 5
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Nengming Xiao (1 shared paper)Yanming Zhang (1 shared paper)Yu Ye (4 shared papers)Deping Song (4 shared papers)Fanfan Zhang (2 shared papers)Yuxin Tang (2 shared papers)Zhen Ding (3 shared papers)Kai Li (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (1 paper)Vaccine (1 paper)Chinese Chemical Letters (1 paper)BMC Veterinary Research (1 paper)Bone (1 paper)
- Partner nations
- ChinaUnited StatesBosnia and Herzegovina
In The Last Decade
Jun Gu
32 papers receiving 495 citations
Peers
Comparison fields: 5 of 87
- Animal Science and Zoology 172
- Nephrology 88
- Infectious Diseases 176
- Genetics 131
- Aging 6
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Klotho is a serum factor related to human aging. | 2004 | 117 |
| 2 | 2019 | 83 | |
| 3 | 2022 | 39 | |
| 4 | 2018 | 38 | |
| 5 | Vimentin significantly promoted gallbladder carcinoma metastasis. | 2011 | 22 |
| 6 | 2019 | 21 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 18 | |
| 9 | 2019 | 18 | |
| 10 | M2 muscarinic receptor of spinal cord mediated increase of nNOS expression in locus coeruleus during morphine withdrawal. | 2002 | 17 |
| 11 | 2021 | 16 | |
| 12 | 2024 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2018 | 3 |
About Jun Gu
Jun Gu is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Pulmonary and Respiratory Medicine and Genetics, having authored 34 papers that have together received 503 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Vascular Procedures and Complications (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Spinal Cord Injury Research (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Animal Science and Zoology (172 citations), Nephrology (88 citations), Infectious Diseases (176 citations), Genetics (131 citations) and Aging (6 citations). Jun Gu has collaborated with scholars based in China, United States and Bosnia and Herzegovina. Frequent co-authors include Nengming Xiao, Yanming Zhang, Yu Ye, Deping Song, Fanfan Zhang, Yuxin Tang, Zhen Ding, Kai Li, Hao Li and Weifeng Yuan. Their work appears in journals such as International Journal of Biological Macromolecules, Vaccine, Chinese Chemical Letters, BMC Veterinary Research and Bone.
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.