Li Gao

198 papers receiving 3.4k citations

Hit Papers

Ferroptosis in Parkinson's disease: Molecular mechanisms and therapeutic potential 2023 · 101 citations
1010+1+2Years since publication255075100

Peers

Li Gao
Comparison fields: 5 of 144
  • Biological Psychiatry 106
  • Developmental Neuroscience 164
  • Neurology 270
  • Geriatrics and Gerontology 88
  • Cancer Research 320
Replace Letteria Minutoli with:
Letteria Minutoli Italy
Xia Qin China
Irena Baranowska‐Bosiacka Poland
Izabela Gutowska Poland
Hemant Kumar India
Laila Ahmed Rashed Egypt
Hagir B. Suliman United States
Yaping Wang China
Ruei‐Ming Chen Taiwan
Krisztián Stadler United States
Li Gao relative to Letteria Minutoli Italy Letteria Minutoli's profile →
Citations per field
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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 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014128
2 2012126
3 2008125
4
Ferroptosis in Parkinson's disease: Molecular mechanisms and therapeutic potential
Hit paper breakdown →
2023101
5 202085
6 201273
7 201666
8 201664
9 202262
10 200561
11 201360
12 201355
13 201154
14 201352
15 202150
16 201449
17 201645
18 201443
19 201743
20 201643

About Li Gao

Li Gao is a scholar working on Molecular Biology, Surgery, Pharmacology, Cellular and Molecular Neuroscience and Epidemiology, having authored 206 papers that have together received 3.4k indexed citations. Recurring topics across this work include Anesthesia and Neurotoxicity Research (13 papers), Osteoarthritis Treatment and Mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Tryptophan and brain disorders (9 papers), Reproductive Biology and Fertility (9 papers), MicroRNA in disease regulation (9 papers), Autophagy in Disease and Therapy (8 papers) and Inflammatory mediators and NSAID effects (8 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Developmental Neuroscience (164 citations), Neurology (270 citations), Geriatrics and Gerontology (88 citations) and Cancer Research (320 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, Zhiheng Zhang, Yan Qu and Yao Wang. Their work appears in journals such as Biological Trace Element Research, Molecules, Biochemical and Biophysical Research Communications, Aging and Oxidative Medicine and Cellular Longevity.

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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