Jinge Gu
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
- Heat shock proteins research
Papers in
-
- RNA Research and Splicing 15
- RNA modifications and cancer 7
- Heat shock proteins research 6
- Protein Structure and Dynamics 5
- Nuclear Structure and Function 4
-
- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- Cong Liu (21 shared papers)Dan Li (18 shared papers)Xinrui Gui (6 shared papers)Yichen Li (6 shared papers)Yanshan Fang (5 shared papers)Ying Liu (6 shared papers)Zhenying Liu (6 shared papers)Shengnan Zhang (9 shared papers)
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)iScience (2 papers)Nature Structural & Molecular Biology (2 papers)eLife (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jinge Gu
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 119
- Neurology 253
- Molecular Biology 1.1k
- Biomaterials 208
- Biochemistry 94
- Genetics 99
Countries citing papers authored by Jinge Gu
This map shows the geographic impact of Jinge 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 Jinge Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinge Gu more than expected).
Fields of papers citing papers by Jinge Gu
This network shows the impact of papers produced by Jinge 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 Jinge Gu. The network helps show where Jinge Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinge 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 199 | |
| 2 | 2020 | 182 | |
| 3 | 2018 | 177 | |
| 4 | 2019 | 160 | |
| 5 | 2020 | 152 | |
| 6 | 2020 | 116 | |
| 7 | 2022 | 80 | |
| 8 | 2022 | 80 | |
| 9 | 2020 | 78 | |
| 10 | 2019 | 63 | |
| 11 | 2019 | 50 | |
| 12 | 2020 | 44 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 37 | |
| 15 | 2022 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2021 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2023 | 25 | |
| 20 | 2022 | 19 |
About Jinge Gu
Jinge Gu is a scholar working on Molecular Biology, Cell Biology, Neurology, Nuclear and High Energy Physics and Biomaterials, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (15 papers), RNA modifications and cancer (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Heat shock proteins research (6 papers), Nuclear physics research studies (6 papers), Protein Structure and Dynamics (5 papers), Alzheimer's disease research and treatments (4 papers) and Nuclear Structure and Function (4 papers). The work is most often cited by research in Neurology (253 citations), Molecular Biology (1.1k citations), Biomaterials (208 citations), Biochemistry (94 citations) and Genetics (99 citations). Jinge Gu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Cong Liu, Dan Li, Xinrui Gui, Yichen Li, Yanshan Fang, Ying Liu, Zhenying Liu, Shengnan Zhang, Heng Zhou and Xueming Li. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, iScience, Nature Structural & Molecular Biology and eLife.
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.