Mingyu Gu
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- DNA Repair Mechanisms 4
- Lipid Membrane Structure and Behavior 3
-
- Cellular transport and secretion 7
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Erik M. Jørgensen (7 shared papers)Gian Garriga (2 shared papers)Paul Baum (2 shared papers)Scott G. Clark (1 shared paper)Chun‐Liang Pan (1 shared paper)Yongde Peng (6 shared papers)Yufan Wang (5 shared papers)Yuhang Ma (4 shared papers)
- Journals
- Medicine (2 papers)Risk Management and Healthcare Policy (2 papers)The Journal of Cell Biology (2 papers)eLife (2 papers)Journal of Multidisciplinary Healthcare (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Mingyu Gu
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Aging 113
- Cell Biology 485
- Endocrine and Autonomic Systems 95
- Molecular Biology 634
- Physiology 41
Countries citing papers authored by Mingyu Gu
This map shows the geographic impact of Mingyu 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 Mingyu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Gu more than expected).
Fields of papers citing papers by Mingyu Gu
This network shows the impact of papers produced by Mingyu 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 Mingyu Gu. The network helps show where Mingyu Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 176 | |
| 2 | 2017 | 144 | |
| 3 | 2015 | 127 | |
| 4 | 2015 | 102 | |
| 5 | 2019 | 92 | |
| 6 | 2014 | 65 | |
| 7 | 2014 | 64 | |
| 8 | 2007 | 60 | |
| 9 | 2013 | 59 | |
| 10 | 2008 | 44 | |
| 11 | 2012 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2011 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2013 | 16 | |
| 17 | 2023 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 10 | |
| 20 | 2024 | 9 |
About Mingyu Gu
Mingyu Gu is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Aging and Immunology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), DNA Repair Mechanisms (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Lipid Membrane Structure and Behavior (3 papers), Cancer-related molecular mechanisms research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Underwater Vehicles and Communication Systems (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Aging (113 citations), Cell Biology (485 citations), Endocrine and Autonomic Systems (95 citations), Molecular Biology (634 citations) and Physiology (41 citations). Mingyu Gu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Erik M. Jørgensen, Gian Garriga, Paul Baum, Scott G. Clark, Chun‐Liang Pan, Yongde Peng, Yufan Wang, Yuhang Ma, Adam Frost and Shigeki Watanabe. Their work appears in journals such as Medicine, Risk Management and Healthcare Policy, The Journal of Cell Biology, eLife and Journal of Multidisciplinary Healthcare.
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.