Lin Ye

1.3k citations
13 papers · 1.0k · 1 hit paper · h-index 7

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Bioactive natural compounds 1
    • Epigenetics and DNA Methylation 1
    • Autophagy in Disease and Therapy 4

Lin Ye

13 papers receiving 999 citations

Lin Ye's Hit Papers

p62 links the autophagy pathway and the ubiqutin–proteasome system upon ubiquitinated protein degradation 2016 · 743 citations
7430+3+6Years since publication200400600

Peers

Lin Ye
Comparison fields: 5 of 94
  • Epidemiology 452
  • Nephrology 82
  • Physiology 51
  • Geriatrics and Gerontology 30
  • Cell Biology 103
Replace Yanjiao Wang with:
Yanjiao Wang China
Juan Cai China
Xiongxiong Pan China
Naijin Zhang China
Christelle Kamga United States
Mashun Onishi Japan
Yunshan Guo China
Song‐Yang Zhang China
Jianhua Rao China
Lin Ye relative to Yanjiao Wang China Yanjiao Wang's profile →
Citations per field
00.5×1.5×2.3×
Yanjiao Wang · 1×
Citations per year

Countries citing papers authored by Lin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
p62 links the autophagy pathway and the ubiqutin–proteasome system upon ubiquitinated protein degradation
Hit paper breakdown →
2016743
2 202082
3 201563
4 202042
5 201823
6 202120
7 20186
8 20246
9 20156
10 20186
11 20233
12 20183
13 20152

About Lin Ye

Lin Ye is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Nephrology and Physiology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (2 papers), Hydrology and Watershed Management Studies (2 papers), Chemotherapy-induced organ toxicity mitigation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), NF-κB Signaling Pathways (1 paper), Bioactive natural compounds (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Epidemiology (452 citations), Nephrology (82 citations), Physiology (51 citations), Geriatrics and Gerontology (30 citations) and Cell Biology (103 citations). Lin Ye has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Chen Yang, Wei Jing Liu, Lin Guo, Wei Huang, H. Wu, Zhihang Li, Kaipeng Jing, Jialu Liu, Huafeng Liu and Qingjun Pan. Their work appears in journals such as Experimental Hematology, BioMed Research International, Frontiers in Physiology, Cellular & Molecular Biology Letters and Journal of Cellular and Molecular Medicine.

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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