Yining Li
Impact in
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
-
- Neurobiology and Insect Physiology Research
Papers in
-
- TGF-β signaling in diseases 4
- Kruppel-like factors research 3
- Peroxisome Proliferator-Activated Receptors 1
-
- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Daniel J. Bernard (6 shared papers)Xiang Zhou (5 shared papers)Ulrich Boehm (3 shared papers)Gauthier Schang (4 shared papers)Luisina Ongaro (3 shared papers)Chu‐Xia Deng (2 shared papers)Jérôme Fortin (2 shared papers)Jonathan M. Graff (1 shared paper)
- Journals
- Endocrinology (3 papers)eLife (1 paper)Acta Biochimica et Biophysica Sinica (1 paper)Current Biology (1 paper)ACS Nano (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yining Li
15 papers receiving 288 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 51
- Cellular and Molecular Neuroscience 43
- Genetics 64
- Endocrinology, Diabetes and Metabolism 34
- Molecular Biology 137
Countries citing papers authored by Yining Li
This map shows the geographic impact of Yining Li'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 Yining Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Li more than expected).
Fields of papers citing papers by Yining Li
This network shows the impact of papers produced by Yining Li. 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 Yining Li. The network helps show where Yining Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining Li, 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 | 2016 | 45 | |
| 2 | 2020 | 44 | |
| 3 | 2018 | 37 | |
| 4 | 2015 | 34 | |
| 5 | 2018 | 26 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 19 | |
| 9 | 2025 | 14 | |
| 10 | 2024 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 |
About Yining Li
Yining Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Atomic and Molecular Physics, and Optics and Genetics, having authored 15 papers that have together received 291 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), TGF-β signaling in diseases (4 papers), Kruppel-like factors research (3 papers), Reproductive Biology and Fertility (3 papers), Atomic and Subatomic Physics Research (2 papers), Advanced Frequency and Time Standards (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Reproductive Medicine (51 citations), Cellular and Molecular Neuroscience (43 citations), Genetics (64 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Molecular Biology (137 citations). Yining Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Daniel J. Bernard, Xiang Zhou, Ulrich Boehm, Gauthier Schang, Luisina Ongaro, Chu‐Xia Deng, Jérôme Fortin, Jonathan M. Graff, Ying Wang and Alan L. Schneyer. Their work appears in journals such as Endocrinology, eLife, Acta Biochimica et Biophysica Sinica, Current Biology and ACS Nano.
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.