Junli Ye

701 citations
19 papers · 518 · h-index 11

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Junli Ye

19 papers receiving 509 citations

Peers

Junli Ye
Comparison fields: 5 of 90
  • Neurology 81
  • Biochemistry 42
  • Developmental Neuroscience 27
  • Biological Psychiatry 15
  • Complementary and alternative medicine 35
Replace Jinting He with:
Jinting He China
Bernardino Ossola United Kingdom
Pei-Chun Chang Taiwan
Aijie Pei China
Dominika Justyna Ksiazek-Winiarek Poland
Zhenzhen Qu China
Chinnasamy Elango United States
Mónica Espinoza-Rojo Mexico
F. Alexandra Loucks United States
Anthony Pollard Australia
Junli Ye relative to Jinting He China Jinting He's profile →
Citations per field
00.5×2×4×5.6×
Jinting He · 1×
Citations per year

Countries citing papers authored by Junli Ye

Since Specialization
Citations

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

Fields of papers citing papers by Junli Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200980
2 201777
3 200967
4 201565
5 201442
6 200740
7 200330
8 201623
9 200921
10 200120
11 202312
12 201311
13 20207
14 20155
15 20185
16 20224
17 20213
18 20183
19 20233

About Junli Ye

Junli Ye is a scholar working on Neurology, Pharmacology, Molecular Medicine, Biochemistry and Oncology, having authored 19 papers that have together received 518 indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (2 papers), Cell death mechanisms and regulation (2 papers), Phytochemicals and Antioxidant Activities (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers), Cancer-related Molecular Pathways (2 papers), Nerve injury and regeneration (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Neurology (81 citations), Biochemistry (42 citations), Developmental Neuroscience (27 citations), Biological Psychiatry (15 citations) and Complementary and alternative medicine (35 citations). Junli Ye has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xuehong Chen, Chunbo Wang, Mengyang Liu, Jing Li, Zhongxin Jiang, Chunling Yan, Xiangjun Meng, Na Liu, Na Liu and Yantao Han. Their work appears in journals such as Molecular Medicine, Journal of Photochemistry and Photobiology B Biology, Leukemia Research, Biochemical Genetics and Experimental Cell Research.

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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