Jingyi Li

1.7k citations
27 papers · 1.3k · 2 hit papers · h-index 17

Impact in

Papers in

Jingyi Li

26 papers receiving 1.3k citations

Jingyi Li's Hit Papers

Enhanced glycolysis-derived lactate promotes microglial activation in Parkinson’s disease via histone lactylation 2025 · 16 citations
160+1+2Years since publication255075

Peers

Jingyi Li
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 63
  • Neurology 93
  • Molecular Medicine 46
  • Organic Chemistry 222
  • Epidemiology 269
Replace Viviana De with:
Viviana De Italy
André Arigony Souto Brazil
Shridhar Narayanan India
Deqing Sun China
Nicolò Musso Italy
Yuzhi Li China
Ji Young Kim South Korea
Masaaki Akagi Japan
Min Tian China
Jingyi Li relative to Viviana De Italy Viviana De's profile →
Citations per field
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Viviana De · 1×
Citations per year

Countries citing papers authored by Jingyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011331
2 2021154
3 2014151
4 2015113
5
A systematic review and meta-analysis of inflammatory biomarkers in Parkinson’s disease
Hit paper breakdown →
202382
6 201665
7 202160
8 201450
9 201446
10 201531
11 202028
12 202222
13 202220
14 202318
15
Enhanced glycolysis-derived lactate promotes microglial activation in Parkinson’s disease via histone lactylation
Hit paper breakdown →
202516
16 202416
17 201416
18 202512
19 202211
20 20239

About Jingyi Li

Jingyi Li is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Materials Chemistry and Molecular Biology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Nuclear Receptors and Signaling (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Block Copolymer Self-Assembly (3 papers), Advanced Polymer Synthesis and Characterization (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Autophagy in Disease and Therapy (3 papers) and Polymer Nanocomposites and Properties (2 papers). The work is most often cited by research in Geriatrics and Gerontology (63 citations), Neurology (93 citations), Molecular Medicine (46 citations), Organic Chemistry (222 citations) and Epidemiology (269 citations). Jingyi Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Jintao Zhu, Tao Zhang, Ke Wang, Kui Wang, Yunlong Lei, Rui Liu, Jiangping Xu, Jiali Mao, Canhua Huang and Jun Zeng. Their work appears in journals such as Autophagy, Frontiers in Aging Neuroscience, npj Parkinson s Disease, Langmuir and Poultry Science.

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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