Shangquan Gan
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology 12
- Reproductive Physiology in Livestock 10
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 18
- MicroRNA in disease regulation 7
- Genetics top 10%
- Genetic and phenotypic traits in livestock 22
- Genetic Mapping and Diversity in Plants and Animals 6
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality 4
- Urology top 10%
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- Circular RNAs in diseases 5
- Co-authors
- Mingxing ChuXiaoyun HeXiaosheng ZhangRan DiChunjie SongWenping HuJinlong ZhangPeter M. Steinert
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Shangquan Gan
50 papers receiving 700 citations
Peers
Comparison fields: 5 of 103
- Agronomy and Crop Science 154
- Cancer Research 187
- Genetics 272
- Animal Science and Zoology 74
- Urology 35
Countries citing papers authored by Shangquan Gan
This map shows the geographic impact of Shangquan 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 Shangquan Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangquan Gan more than expected).
Fields of papers citing papers by Shangquan Gan
This network shows the impact of papers produced by Shangquan 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 Shangquan Gan. The network helps show where Shangquan Gan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shangquan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 27 | |
| 18 | 2019 | 3 | |
| 19 | 2017 | 47 | |
| 20 | 2008 | 27 |
About Shangquan Gan
Shangquan Gan is a scholar working on Agronomy and Crop Science, Cancer Research and Genetics, having authored 57 papers that have together received 705 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (22 papers), Cancer-related molecular mechanisms research (18 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Reproductive Physiology in Livestock (10 papers), MicroRNA in disease regulation (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Circular RNAs in diseases (5 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Agronomy and Crop Science (154 citations), Cancer Research (187 citations) and Genetics (272 citations). Shangquan Gan has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Mingxing Chu, Xiaoyun He, Xiaosheng Zhang, Ran Di, Chunjie Song, Wenping Hu, Jinlong Zhang, Peter M. Steinert, O. Wesley McBride and Dietmar Mischke. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical and Biophysical Research Communications.
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.