Suocheng Wei
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health
- Genetics
- Molecular Biology
- Agronomy and Crop Science top 10%
- Co-authors
- Min WeiXiaoyun ShenTuanjie CheYingying DengJiangling DongJuan YangZhongren MaWuhua Ma
- Topics
- Reproductive Biology and Fertility (16 papers)Estrogen and related hormone effects (11 papers)Viral gastroenteritis research and epidemiology (9 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Suocheng Wei
54 papers receiving 323 citations
Peers
Comparison fields: 5 of 67
- Reproductive Medicine 101
- Public Health, Environmental and Occupational Health 99
- Genetics 99
- Molecular Biology 82
- Agronomy and Crop Science 67
Countries citing papers authored by Suocheng Wei
This map shows the geographic impact of Suocheng Wei'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 Suocheng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suocheng Wei more than expected).
Fields of papers citing papers by Suocheng Wei
This network shows the impact of papers produced by Suocheng Wei. 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 Suocheng Wei. The network helps show where Suocheng Wei may publish in the future.
Co-authorship network of co-authors of Suocheng Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Suocheng Wei. A scholar is included among the top collaborators of Suocheng Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suocheng Wei. Suocheng Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | FSH receptor binding inhibitor restrains ovarian cancer through down-regulating expression levels of FSHR and ERβ in mice | 1 |
| 11 | 9 | |
| 12 | 19 | |
| 13 | Coca-cola and Pepsi-cola affect ovaries and follicles development. | 2 |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | Determination of terramycin, minocycline and aureomycin in livestock, poultry meat and salmon by high performance liquid chromatography. | 1 |
| 19 | 2 | |
| 20 | 1 |
About Suocheng Wei
Suocheng Wei is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Animal Science and Zoology, having authored 58 papers that have together received 334 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Estrogen and related hormone effects (11 papers) and Viral gastroenteritis research and epidemiology (9 papers). The work is most often cited by research in Reproductive Medicine (101 citations), Agronomy and Crop Science (67 citations) and Animal Science and Zoology (57 citations). Suocheng Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Wei, Xiaoyun Shen, Tuanjie Che, Yingying Deng, Jiangling Dong, Juan Yang, Zhongren Ma, Wuhua Ma, Fengwei Zhang and Jin‐Fa Lin. Their work appears in journals such as Annals of Oncology, Gene and BioMed Research International.
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.