Lin Ye

7.5k total citations
261 papers, 5.1k citations indexed

About

Lin Ye is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lin Ye has authored 261 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 63 papers in Oncology and 44 papers in Cancer Research. Recurrent topics in Lin Ye's work include TGF-β signaling in diseases (31 papers), Connective Tissue Growth Factor Research (17 papers) and Cancer Cells and Metastasis (15 papers). Lin Ye is often cited by papers focused on TGF-β signaling in diseases (31 papers), Connective Tissue Growth Factor Research (17 papers) and Cancer Cells and Metastasis (15 papers). Lin Ye collaborates with scholars based in China, United Kingdom and United States. Lin Ye's co-authors include Wen G. Jiang, Andrew J. Sanders, Howard Kynaston, Lin-Yu Lu, Thomas L. Saunders, Malcolm D. Mason, Xiaochun Yu, Ke Ji, Malcolm Mason and Ping‐Hui Sun and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lin Ye

251 papers receiving 5.0k citations

Peers

Lin Ye
Comparison fields: 5 of 154
  • Molecular Biology 3.0k
  • Oncology 1.3k
  • Cancer Research 991
  • Pulmonary and Respiratory Medicine 564
  • Cell Biology 494
Replace Ying Zhang with:
Ying Zhang China
Zhiyong Wang China
Yanru Wang China
Hui Feng China
Futoshi Okada Japan
Gaoliang Ouyang China
Peng Guo China
Zhixiang Wang Canada
Jianjun Shen United States
Claudio Arra Italy
Ying Zhang China View profile →
Citations per field, relative to Lin Ye
Lin Ye · 1×
Citations per year, relative to Lin Ye
Lin Ye · 1×

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-authorship network of co-authors of Lin Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Ye. A scholar is included among the top collaborators of Lin Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Ye. Lin Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 6
3 1
4 0
5 5
6 10
7 12
8 5
9 15
10 7
11 17
12 11
13 14
14 36
15
Circular RNA Gprc5a Promotes HCC Progression by Activating YAP1/TEAD1 Signalling Pathway by Sponging miR-1283
1
16
Novel Albumin Nanoparticle Enhanced the Anti-Insulin-Resistant-Hepatoma Activity of Metformin
1
17
HMGB1/CXCL12-Mediated Immunity and Th17 Cells Might Underlie Highly Suspected Autoimmune Epilepsy in Elderly Individuals
2
18
IL24 and its Receptors Regulate Growth and Migration of Pancreatic Cancer Cells and Are Potential Biomarkers for IL24 Molecular Therapy.
9
19 19
20 10

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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