Yining Gao
Impact in
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- Autoimmune Neurological Disorders and Treatments
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
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- Ovarian function and disorders
Papers in
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- Autoimmune Neurological Disorders and Treatments 4
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- Air Quality and Health Impacts 3
- Co-authors
- Qinming Zhou (10 shared papers)Sheng Chen (10 shared papers)Dingding Shen (6 shared papers)Huanyu Meng (7 shared papers)Lu He (6 shared papers)Ji Hu (3 shared papers)Xiang Lin (2 shared papers)Fei Sun (3 shared papers)
- Journals
- General Psychiatry (3 papers)Atmospheric chemistry and physics (3 papers)Frontiers in Endocrinology (2 papers)Therapeutic Advances in Musculoskeletal Disease (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Yining Gao
36 papers receiving 338 citations
Peers
Comparison fields: 5 of 105
- Neurology 90
- Reproductive Medicine 35
- Neurology 30
- Genetics 27
- Endocrinology, Diabetes and Metabolism 39
Countries citing papers authored by Yining Gao
This map shows the geographic impact of Yining Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Gao more than expected).
Fields of papers citing papers by Yining Gao
This network shows the impact of papers produced by Yining Gao. 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 Gao. The network helps show where Yining Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining Gao, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2020 | 37 | |
| 3 | 2024 | 29 | |
| 4 | 2015 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 5 |
About Yining Gao
Yining Gao is a scholar working on Neurology, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Molecular Biology and Nephrology, having authored 41 papers that have together received 346 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (4 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Ovarian function and disorders (4 papers), Autoimmune Neurological Disorders and Treatments (4 papers), Reproductive Biology and Fertility (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Neurology (90 citations), Reproductive Medicine (35 citations), Neurology (30 citations), Genetics (27 citations) and Endocrinology, Diabetes and Metabolism (39 citations). Yining Gao has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Qinming Zhou, Sheng Chen, Dingding Shen, Huanyu Meng, Lu He, Ji Hu, Xiang Lin, Fei Sun, Ling Yue and Yuan Fang. Their work appears in journals such as General Psychiatry, Atmospheric chemistry and physics, Frontiers in Endocrinology, Therapeutic Advances in Musculoskeletal Disease and Frontiers in Immunology.
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.