Yaoting Gui
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Endometriosis Research and Treatment
-
- Reproductive System and Pregnancy
Papers in
-
- Sperm and Testicular Function 6
- Endometriosis Research and Treatment 2
-
- Renal and related cancers 3
- Co-authors
- K.B.C. Apparao (1 shared paper)Joy Mulholland (1 shared paper)Bruce A. Lessey (1 shared paper)Steven L. Young (1 shared paper)Zhiming Cai (5 shared papers)Jiongxian Ye (2 shared papers)Zhimao Jiang (4 shared papers)Zhiming Cai (4 shared papers)
- Journals
- Molecular Human Reproduction (1 paper)Cancer Biomarkers (1 paper)Reproductive Sciences (1 paper)Human Reproduction (1 paper)Genome biology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yaoting Gui
19 papers receiving 416 citations
Peers
Comparison fields: 5 of 59
- Reproductive Medicine 201
- Immunology 113
- Obstetrics and Gynecology 33
- Public Health, Environmental and Occupational Health 92
- Genetics 95
Countries citing papers authored by Yaoting Gui
This map shows the geographic impact of Yaoting Gui'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 Yaoting Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoting Gui more than expected).
Fields of papers citing papers by Yaoting Gui
This network shows the impact of papers produced by Yaoting Gui. 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 Yaoting Gui. The network helps show where Yaoting Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaoting Gui, 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 | 2002 | 110 | |
| 2 | 2012 | 54 | |
| 3 | 2006 | 48 | |
| 4 | 2015 | 43 | |
| 5 | 2011 | 35 | |
| 6 | 2017 | 29 | |
| 7 | 2013 | 20 | |
| 8 | 2024 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2004 | 9 | |
| 15 | 2014 | 7 | |
| 16 | [Identification of human testicular spermatogenic cells at different stages]. | 2006 | 2 |
| 17 | 2017 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2004 | 1 |
About Yaoting Gui
Yaoting Gui is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Surgery, having authored 19 papers that have together received 434 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers), Renal and related cancers (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Endometriosis Research and Treatment (2 papers), Gynecological conditions and treatments (2 papers), Renal cell carcinoma treatment (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Reproductive Medicine (201 citations), Immunology (113 citations), Obstetrics and Gynecology (33 citations), Public Health, Environmental and Occupational Health (92 citations) and Genetics (95 citations). Yaoting Gui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include K.B.C. Apparao, Joy Mulholland, Bruce A. Lessey, Steven L. Young, Zhiming Cai, Jiongxian Ye, Zhimao Jiang, Zhiming Cai, Jing Ye and Xianxin Li. Their work appears in journals such as Molecular Human Reproduction, Cancer Biomarkers, Reproductive Sciences, Human Reproduction and Genome biology.
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.