Jingyi Li

1.9k citations
28 papers · 1.3k · h-index 17

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Block Copolymer Self-Assembly 3

Jingyi Li

25 papers receiving 1.3k citations

Peers

Jingyi Li
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 55
  • Neurology 86
  • Molecular Medicine 41
  • Epidemiology 246
  • Biochemistry 46
Replace Yongming Li with:
Yongming Li China
Shridhar Narayanan India
Viviana De Italy
Deqing Sun China
Nicolò Musso Italy
Matilda Šprung Croatia
Vincent P. Kelly Ireland
Wenping Zhang China
Jan Ježek Czechia
Liang Wu China
Jingyi Li relative to Yongming Li China Yongming Li's profile →
Citations per field
00.5×2×3×4.1×
Yongming Li · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011339
2 2021159
3 2014153
4 2015113
5 202391
6 201665
7 202162
8 201450
9 201449
10 201533
11 202228
12 202028
13 202222
14 202521
15 202320
16 202418
17 202516
18 201416
19 202212
20 202311

About Jingyi Li

Jingyi Li is a scholar working on Neurology, Materials Chemistry, Electrical and Electronic Engineering, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Advanced Polymer Synthesis and Characterization (3 papers), Nuclear Receptors and Signaling (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Block Copolymer Self-Assembly (3 papers), Autophagy in Disease and Therapy (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Polymer Nanocomposites and Properties (2 papers). The work is most often cited by research in Geriatrics and Gerontology (55 citations), Neurology (86 citations), Molecular Medicine (41 citations), Epidemiology (246 citations) and Biochemistry (46 citations). Jingyi Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Jintao Zhu, Ke Wang, Tao Zhang, Rui Liu, Yunlong Lei, Kui Wang, Jiangping Xu, Yuquan Wei, Jiali Mao and Jun Zeng. Their work appears in journals such as npj Parkinson s Disease, Frontiers in Aging Neuroscience, Autophagy, Langmuir and Molecular Neurobiology.

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.

Explore authors with similar magnitude of impact