Wei Gan
Impact in
- Aging top 10%
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
-
- DNA Repair Mechanisms 7
- Chemical Synthesis and Analysis 4
- Metabolism, Diabetes, and Cancer 3
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Genetics 10
- Genetic Associations and Epidemiology 6
- Co-authors
- Ling Lu (9 shared papers)Jian‐Ping Cai (8 shared papers)Ruth J. F. Loos (5 shared papers)Huaixing Li (5 shared papers)Hiroshi Hayakawa (6 shared papers)Mutsuo Sekiguchi (6 shared papers)Jingwen Zhu (7 shared papers)Ben Nie (4 shared papers)
- Journals
- PLoS ONE (5 papers)Free Radical Research (2 papers)Diabetologia (2 papers)British Poultry Science (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wei Gan
67 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Aging 22
- Media Technology 102
- Endocrinology, Diabetes and Metabolism 133
- Genetics 209
- Immunology 149
Countries citing papers authored by Wei Gan
This map shows the geographic impact of Wei Gan'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 Wei Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Gan more than expected).
Fields of papers citing papers by Wei Gan
This network shows the impact of papers produced by Wei Gan. 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 Wei Gan. The network helps show where Wei Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Gan, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 237 | |
| 2 | 2017 | 176 | |
| 3 | 2015 | 110 | |
| 4 | 2012 | 80 | |
| 5 | 2011 | 78 | |
| 6 | 2013 | 69 | |
| 7 | 2010 | 68 | |
| 8 | 2011 | 55 | |
| 9 | 2012 | 50 | |
| 10 | 2012 | 49 | |
| 11 | 2018 | 47 | |
| 12 | 2021 | 45 | |
| 13 | 2020 | 44 | |
| 14 | 2015 | 43 | |
| 15 | 2014 | 38 | |
| 16 | 2012 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 2016 | 32 | |
| 19 | 2022 | 29 | |
| 20 | 2012 | 21 |
About Wei Gan
Wei Gan is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Surgery, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Genetic Associations and Epidemiology (6 papers), Chemical Synthesis and Analysis (4 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Research and Splicing (3 papers), Pancreatic function and diabetes (3 papers), Synthesis and Catalytic Reactions (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Aging (22 citations), Media Technology (102 citations), Endocrinology, Diabetes and Metabolism (133 citations), Genetics (209 citations) and Immunology (149 citations). Wei Gan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ling Lu, Jian‐Ping Cai, Ruth J. F. Loos, Huaixing Li, Hiroshi Hayakawa, Mutsuo Sekiguchi, Jingwen Zhu, Ben Nie, Fei Shi and Qibin Qi. Their work appears in journals such as PLoS ONE, Free Radical Research, Diabetologia, British Poultry Science and Oxidative Medicine and Cellular Longevity.
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.