Keyan Wang
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
-
- Reproductive System and Pregnancy
- Immunotherapy and Immune Responses
Papers in
-
- Glycosylation and Glycoproteins Research 6
-
- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Zhiqin Bu (8 shared papers)Yingpu Sun (2 shared papers)Wei Dai (1 shared paper)Xiaolong Wang (1 shared paper)Jie Chen (1 shared paper)Yiping Li (1 shared paper)Jianxiang Shi (25 shared papers)Liping Dai (16 shared papers)
- Journals
- Cancer Science (5 papers)BMC Cancer (2 papers)British Journal of Cancer (2 papers)Biological Trace Element Research (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Keyan Wang
47 papers receiving 577 citations
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 117
- Immunology 94
- Public Health, Environmental and Occupational Health 109
- Cancer Research 45
- Radiology, Nuclear Medicine and Imaging 63
Countries citing papers authored by Keyan Wang
This map shows the geographic impact of Keyan Wang'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 Keyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyan Wang more than expected).
Fields of papers citing papers by Keyan Wang
This network shows the impact of papers produced by Keyan Wang. 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 Keyan Wang. The network helps show where Keyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyan Wang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 80 | |
| 2 | 2016 | 72 | |
| 3 | 2014 | 64 | |
| 4 | 2016 | 53 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 31 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2024 | 14 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2021 | 6 |
About Keyan Wang
Keyan Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 580 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (6 papers), Immunotherapy and Immune Responses (6 papers), Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (3 papers), Galectins and Cancer Biology (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Reproductive Medicine (117 citations), Immunology (94 citations), Public Health, Environmental and Occupational Health (109 citations), Cancer Research (45 citations) and Radiology, Nuclear Medicine and Imaging (63 citations). Keyan Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhiqin Bu, Yingpu Sun, Wei Dai, Xiaolong Wang, Jie Chen, Yiping Li, Jianxiang Shi, Liping Dai, Hua Ye and Peng Wang. Their work appears in journals such as Cancer Science, BMC Cancer, British Journal of Cancer, Biological Trace Element Research and BMC Pregnancy and Childbirth.
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.