Ge Lin
Impact in
- Reproductive Medicine top 0.2%
- Sperm and Testicular Function
- Reproductive Health and Technologies
- Ovarian function and disorders
-
- Prenatal Screening and Diagnostics
- Assisted Reproductive Technology and Twin Pregnancy
Papers in
-
- Sperm and Testicular Function 55
- Reproductive Health and Technologies 27
- Ovarian function and disorders 16
-
- Prenatal Screening and Diagnostics 54
- Assisted Reproductive Technology and Twin Pregnancy 42
- Co-authors
- Guangxiu Lu (134 shared papers)Yue‐Qiu Tan (92 shared papers)Fei Gong (92 shared papers)Fei Gong (56 shared papers)Shuoping Zhang (44 shared papers)Guangxiu Lu (51 shared papers)Liang Hu (68 shared papers)Juan Du (47 shared papers)
- Journals
- Journal of Assisted Reproduction and Genetics (24 papers)Human Reproduction (22 papers)Fertility and Sterility (17 papers)Stem Cell Research (13 papers)Clinical Genetics (13 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ge Lin
367 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 130
- Reproductive Medicine 1.8k
- Pediatrics, Perinatology and Child Health 1.3k
- Public Health, Environmental and Occupational Health 1.8k
- Molecular Biology 1.7k
- Genetics 787
Countries citing papers authored by Ge Lin
This map shows the geographic impact of Ge Lin'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 Ge Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Lin more than expected).
Fields of papers citing papers by Ge Lin
This network shows the impact of papers produced by Ge Lin. 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 Ge Lin. The network helps show where Ge Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Lin, 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 392 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 182 | |
| 2 | 2020 | 139 | |
| 3 | 2009 | 121 | |
| 4 | 2013 | 110 | |
| 5 | 2007 | 104 | |
| 6 | 2021 | 104 | |
| 7 | 2013 | 103 | |
| 8 | 2018 | 99 | |
| 9 | 2019 | 97 | |
| 10 | 2019 | 95 | |
| 11 | 2014 | 94 | |
| 12 | 2018 | 92 | |
| 13 | 2020 | 91 | |
| 14 | 2017 | 89 | |
| 15 | 2021 | 86 | |
| 16 | 2009 | 84 | |
| 17 | 2019 | 79 | |
| 18 | 2008 | 78 | |
| 19 | 2016 | 77 | |
| 20 | 2017 | 77 |
About Ge Lin
Ge Lin is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Molecular Biology and Genetics, having authored 392 papers that have together received 7.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (86 papers), Sperm and Testicular Function (55 papers), Prenatal Screening and Diagnostics (54 papers), Pluripotent Stem Cells Research (52 papers), Assisted Reproductive Technology and Twin Pregnancy (42 papers), Reproductive Health and Technologies (27 papers), Ovarian function and disorders (16 papers) and Genomics and Rare Diseases (14 papers). The work is most often cited by research in Reproductive Medicine (1.8k citations), Pediatrics, Perinatology and Child Health (1.3k citations), Public Health, Environmental and Occupational Health (1.8k citations), Molecular Biology (1.7k citations) and Genetics (787 citations). Ge Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guangxiu Lu, Yue‐Qiu Tan, Fei Gong, Fei Gong, Shuoping Zhang, Guangxiu Lu, Liang Hu, Juan Du, Changfu Lu and Chaofeng Tu. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Human Reproduction, Fertility and Sterility, Stem Cell Research and Clinical Genetics.
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.