Lin Ye

7.6k citations
267 papers · 5.5k · h-index 39

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • TGF-β signaling in diseases 27
    • RNA Research and Splicing 11
    • Bone Metabolism and Diseases 10
    • Connective Tissue Growth Factor Research 10
    • Ubiquitin and proteasome pathways 9
    • Cancer Cells and Metastasis 15
    • Bone health and treatments 10

Lin Ye

256 papers receiving 5.4k citations

Peers

Lin Ye
Comparison fields: 5 of 153
  • Cancer Research 863
  • Oncology 1.1k
  • Molecular Biology 2.9k
  • Cell Biology 480
  • Immunology and Allergy 140
Replace Piotr Dzięgiel with:
Piotr Dzięgiel Poland
Pirkko Härkönen Finland
Paul A. Townsend United Kingdom
M. Zabel Poland
Ying Zhang China
Zhixiang Wang Canada
Futoshi Okada Japan
Ross D. Hannan Australia
Yanru Wang China
Claudio Arra Italy
Lin Ye relative to Piotr Dzięgiel Poland Piotr Dzięgiel's profile →
Citations per field
00.5×1.5×2.1×
Piotr Dzięgiel · 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

20 of 20 papers shown

Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer invasion and metastasis: molecular and cellular perspective
2013197
2 2010180
3 2015124
4 2008120
5 2007118
6 2003110
7 2011107
8 2008104
9 201599
10 200891
11 199589
12 200387
13 200783
14 200873
15 201670
16 201069
17 201468
18 199967
19 200764
20 201463

About Lin Ye

Lin Ye is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 267 papers that have together received 5.5k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (27 papers), Cancer Cells and Metastasis (15 papers), RNA Research and Splicing (11 papers), Bone Metabolism and Diseases (10 papers), MicroRNA in disease regulation (10 papers), Bone health and treatments (10 papers), Connective Tissue Growth Factor Research (10 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Cancer Research (863 citations), Oncology (1.1k citations), Molecular Biology (2.9k citations), Cell Biology (480 citations) and Immunology and Allergy (140 citations). Lin Ye has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wen G. Jiang, Andrew J. Sanders, Howard Kynaston, Tracey Amanda Martin, Thomas L. Saunders, Xiaochun Yu, Lin-Yu Lu, Malcolm D. Mason, Ke Ji and Malcolm Mason. Their work appears in journals such as International Journal of Oncology, Oncology Reports, International Journal of Molecular Medicine, Anticancer Research and Cancer 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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