Yining Gao

694 citations
43 papers · 393 · h-index 12

Impact in

  • Neurology top 10%
    • Autoimmune Neurological Disorders and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Ovarian function and disorders

Papers in

Yining Gao

39 papers receiving 385 citations

Peers

Yining Gao
Comparison fields: 5 of 98
  • Neurology 89
  • Reproductive Medicine 40
  • Neurology 24
  • Genetics 20
  • Nephrology 13
Replace Xin Gao with:
Xin Gao China
Gail J. Pyne United States
Yangyang Wang China
Zhen He China
Yiting Mao China
В. С. Сухоруков Russia
Niels Jacob Aachmann‐Andersen Denmark
Naci Çine Türkiye
Ewa Borys United States
Johann Guillemot France
Yining Gao relative to Xin Gao China Xin Gao's profile →
Citations per field
00.5×4.3×
Xin Gao · 1×
Citations per year

Countries citing papers authored by Yining Gao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yining Gao Line = papers co-authored together Yining Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 202042
3 202438
4 201527
5 202020
6 202220
7 202120
8 202217
9 202216
10 202214
11 202112
12 202411
13 202010
14 20238
15 20188
16 20228
17 20247
18 20227
19 20247
20 20237

About Yining Gao

Yining Gao is a scholar working on Neurology, Molecular Biology, Nephrology, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 43 papers that have together received 393 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (4 papers), Atmospheric chemistry and aerosols (4 papers), Ovarian function and disorders (4 papers), Autoimmune Neurological Disorders and Treatments (4 papers), Air Quality and Health Impacts (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Aerodynamics and Fluid Dynamics Research (2 papers). The work is most often cited by research in Neurology (89 citations), Reproductive Medicine (40 citations), Neurology (24 citations), Genetics (20 citations) and Nephrology (13 citations). Yining Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinming Zhou, Sheng Chen, Dingding Shen, Huanyu Meng, Lu He, Ling Yue, Fei Sun, Wei Liu, Yuan Fang and Yu Xu. Their work appears in journals such as Atmospheric chemistry and physics, General Psychiatry, Frontiers in Endocrinology, Frontiers of Medicine and BMC Pregnancy and Childbirth.

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.

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