Lan Geng
Impact in
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- Neuroscience of respiration and sleep
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- Stress Responses and Cortisol
Papers in
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- Reproductive Biology and Fertility 4
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- Ovarian function and disorders 3
- Reproductive Health and Technologies 2
- Co-authors
- Takuya Osakada (1 shared paper)Yan Tang (1 shared paper)Lei Wang (1 shared paper)Alan Kania (1 shared paper)Yulong Li (2 shared papers)Dayu Lin (1 shared paper)Tongrui Qian (1 shared paper)Huan Wang (1 shared paper)
- Journals
- Medicine (2 papers)Archives of Gynecology and Obstetrics (2 papers)Nature Communications (1 paper)Lasers in Medical Science (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Geng
16 papers receiving 139 citations
Peers
Comparison fields: 5 of 54
- Endocrine and Autonomic Systems 22
- Behavioral Neuroscience 11
- Reproductive Medicine 22
- Social Psychology 41
- Obstetrics and Gynecology 9
Countries citing papers authored by Lan Geng
This map shows the geographic impact of Lan Geng'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 Lan Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Geng more than expected).
Fields of papers citing papers by Lan Geng
This network shows the impact of papers produced by Lan Geng. 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 Lan Geng. The network helps show where Lan Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Geng, 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 | 2023 | 72 | |
| 2 | 2021 | 21 | |
| 3 | 2019 | 11 | |
| 4 | 2016 | 10 | |
| 5 | 2024 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2025 | 0 |
About Lan Geng
Lan Geng is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Social Psychology and Endocrine and Autonomic Systems, having authored 19 papers that have together received 143 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (4 papers), Ovarian function and disorders (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Reproductive Health and Technologies (2 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience of respiration and sleep (2 papers), Gestational Diabetes Research and Management (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (22 citations), Behavioral Neuroscience (11 citations), Reproductive Medicine (22 citations), Social Psychology (41 citations) and Obstetrics and Gynecology (9 citations). Lan Geng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Takuya Osakada, Yan Tang, Lei Wang, Alan Kania, Yulong Li, Dayu Lin, Tongrui Qian, Huan Wang, Peng Wang and Long Mei. Their work appears in journals such as Medicine, Archives of Gynecology and Obstetrics, Nature Communications, Lasers in Medical Science and Nature Biotechnology.
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.