Panyu Chen
Impact in
- Reproductive Medicine top 10%
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- Magnesium Alloys: Properties and Applications
Papers in
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- Ovarian function and disorders 5
- Endometriosis Research and Treatment 3
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- Protein Degradation and Inhibitors 3
- Gut microbiota and health 2
- Co-authors
- Paul Tempst (1 shared paper)Claudio R. Alarcón (1 shared paper)Hediye Erdjument‐Bromage (1 shared paper)Sadia Rahman (1 shared paper)Gopal P. Sapkota (1 shared paper)Nina Goerner (1 shared paper)Joan Massagué (1 shared paper)Sheng Gao (1 shared paper)
- Journals
- BMC Pregnancy and Childbirth (3 papers)Archives of Gynecology and Obstetrics (2 papers)Frontiers in Immunology (2 papers)Cancer Research (2 papers)Reproductive Biology and Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Panyu Chen
44 papers receiving 730 citations
Peers
Comparison fields: 5 of 91
- Reproductive Medicine 80
- Biomaterials 73
- Immunology 107
- Cancer Research 73
- Molecular Biology 338
Countries citing papers authored by Panyu Chen
This map shows the geographic impact of Panyu Chen'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 Panyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panyu Chen more than expected).
Fields of papers citing papers by Panyu Chen
This network shows the impact of papers produced by Panyu Chen. 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 Panyu Chen. The network helps show where Panyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Panyu Chen, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 311 | |
| 2 | 2021 | 94 | |
| 3 | 2018 | 93 | |
| 4 | 2017 | 29 | |
| 5 | 2019 | 22 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 13 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2023 | 5 |
About Panyu Chen
Panyu Chen is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Oncology, having authored 53 papers that have together received 742 indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Reproductive Biology and Fertility (5 papers), Endometriosis Research and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Reproductive Medicine (80 citations), Biomaterials (73 citations), Immunology (107 citations), Cancer Research (73 citations) and Molecular Biology (338 citations). Panyu Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Paul Tempst, Claudio R. Alarcón, Hediye Erdjument‐Bromage, Sadia Rahman, Gopal P. Sapkota, Nina Goerner, Joan Massagué, Sheng Gao, María J. Macias and Yingchun Guo. Their work appears in journals such as BMC Pregnancy and Childbirth, Archives of Gynecology and Obstetrics, Frontiers in Immunology, Cancer Research and Reproductive Biology and Endocrinology.
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.