Li Gao

198 papers receiving 3.5k citations

Li Gao's Hit Papers

Ferroptosis in Parkinson's disease: Molecular mechanisms and therapeutic potential 2023 · 119 citations
1190+1+2Years since publication255075100

Peers

Li Gao
Comparison fields: 5 of 140
  • Biological Psychiatry 89
  • Developmental Neuroscience 142
  • Neurology 217
  • Geriatrics and Gerontology 80
  • Cancer Research 272
Replace Letteria Minutoli with:
Letteria Minutoli Italy
Ruei‐Ming Chen Taiwan
Tiziana Genovese Italy
Xia Qin China
Laila Ahmed Rashed Egypt
Izabela Gutowska Poland
Yanqing Wu China
Irena Baranowska‐Bosiacka Poland
Junling Gao China
Yanxia Wang China
Li Gao relative to Letteria Minutoli Italy Letteria Minutoli's profile →
Citations per field
00.5×1.5×
Letteria Minutoli · 1×
Citations per year

Countries citing papers authored by Li Gao

Since Specialization
Citations

This map shows the geographic impact of Li 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 Li Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Gao more than expected).

Fields of papers citing papers by Li Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li 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 Li Gao. The network helps show where Li Gao may publish in the future.

Co-authors

The 25 scholars most cited alongside Li 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 Li Gao Line = papers co-authored together Li Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008129
2 2014129
3 2012127
4
Ferroptosis in Parkinson's disease: Molecular mechanisms and therapeutic potential
Hit paper breakdown →
2023119
5 202088
6 201274
7 202267
8 201666
9 201666
10 201361
11 200561
12 201355
13 201154
14 201352
15 202151
16 201450
17 201646
18 201444
19 201643
20 201443

About Li Gao

Li Gao is a scholar working on Molecular Biology, Surgery, Pharmacology, Cellular and Molecular Neuroscience and Rheumatology, having authored 207 papers that have together received 3.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (10 papers), Anesthesia and Neurotoxicity Research (9 papers), Veterinary Pharmacology and Anesthesia (8 papers), MicroRNA in disease regulation (8 papers), Tryptophan and brain disorders (8 papers), Autophagy in Disease and Therapy (6 papers), Circadian rhythm and melatonin (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Biological Psychiatry (89 citations), Developmental Neuroscience (142 citations), Neurology (217 citations), Geriatrics and Gerontology (80 citations) and Cancer Research (272 citations). Li Gao has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Teng Jiang, Jie Lu, Yingdong Zhang, Hui Bai, Xiaopeng Song, Tianwen Ma, Guodong Gao, Yan Qu, Zhiheng Zhang and Yugui Cui. Their work appears in journals such as Biological Trace Element Research, Nutrients, Aging, Molecules and Biochemical and Biophysical Research Communications.

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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