Ming-min Gu
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
- Biochemistry top 10%
- Biochemical Acid Research Studies
Papers in
-
- Fibroblast Growth Factor Research 2
-
- Hereditary Neurological Disorders 4
- Co-authors
- Zhugang Wang (8 shared papers)Yu Xie (1 shared paper)Juhua Luo (1 shared paper)Ziyang Dai (1 shared paper)Mengna Feng (1 shared paper)Houbao Zhu (2 shared papers)Hongxin Zhang (3 shared papers)Xiaolin Wu (2 shared papers)
- Journals
- The American Journal of Human Genetics (2 papers)Human Molecular Genetics (1 paper)Acta Neuropathologica Communications (1 paper)Nano Research (1 paper)Thrombosis Research (1 paper)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Ming-min Gu
17 papers receiving 376 citations
Peers
Comparison fields: 5 of 68
- Clinical Biochemistry 53
- Biochemistry 48
- Renewable Energy, Sustainability and the Environment 49
- Ceramics and Composites 17
- Genetics 74
Countries citing papers authored by Ming-min Gu
This map shows the geographic impact of Ming-min 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 Ming-min Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-min Gu more than expected).
Fields of papers citing papers by Ming-min Gu
This network shows the impact of papers produced by Ming-min 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 Ming-min Gu. The network helps show where Ming-min Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-min 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 74 | |
| 2 | 2012 | 67 | |
| 3 | 2022 | 59 | |
| 4 | 2013 | 53 | |
| 5 | 2004 | 32 | |
| 6 | 2017 | 28 | |
| 7 | 2015 | 16 | |
| 8 | 2017 | 14 | |
| 9 | 2020 | 10 | |
| 10 | 2006 | 7 | |
| 11 | [A genomewide scan for the susceptibility gene loci to ankylosing spondylitis in Chinese Han population]. | 2004 | 6 |
| 12 | 2020 | 4 | |
| 13 | 2005 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2012 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 0 | |
| 19 | 2025 | 0 | |
| 20 | Research progress in early diagnosis of Alzheimer's disease | 2018 | 0 |
About Ming-min Gu
Ming-min Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Mechanical Engineering and Materials Chemistry, having authored 20 papers that have together received 379 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (4 papers), Aluminum Alloys Composites Properties (3 papers), Connective tissue disorders research (3 papers), Neurological diseases and metabolism (2 papers), Microstructure and mechanical properties (2 papers), Fibroblast Growth Factor Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Advanced ceramic materials synthesis (2 papers). The work is most often cited by research in Clinical Biochemistry (53 citations), Biochemistry (48 citations), Renewable Energy, Sustainability and the Environment (49 citations), Ceramics and Composites (17 citations) and Genetics (74 citations). Ming-min Gu has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Zhugang Wang, Yu Xie, Juhua Luo, Ziyang Dai, Mengna Feng, Houbao Zhu, Hongxin Zhang, Xiaolin Wu, Lei Huang and Wei Huang. Their work appears in journals such as The American Journal of Human Genetics, Human Molecular Genetics, Acta Neuropathologica Communications, Nano Research and Thrombosis Research.
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.