Lin Shan

1.3k citations
19 papers · 809 indexed · h-index 13
Topics
Ubiquitin and proteasome pathways (7 papers)Epigenetics and DNA Methylation (4 papers)Endoplasmic Reticulum Stress and Disease (3 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Lin Shan

19 papers receiving 806 citations

Peers

Lin Shan
Comparison fields: 5 of 77
  • Molecular Biology 629
  • Oncology 217
  • Cell Biology 155
  • Epidemiology 114
  • Cancer Research 101
Replace Ok Sun Bang with:
Ok Sun Bang South Korea
Joanna Maria Merchut‐Maya Denmark
Zineb Mounir Canada
Lisa K. Mullany United States
Shikha Sharan United States
Sinyi Kong United States
Andreas I. Papadakis Canada
Yang Brooks United States
Christopher Cervantes United States
Satomi Yogosawa Japan
Lin Shan relative to Ok Sun Bang South Korea Ok Sun Bang's profile →
Citations per field
00.5×4.3×
Ok Sun Bang · 1×
Citations per year

Countries citing papers authored by Lin Shan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Shan. A scholar is included among the top collaborators of Lin Shan 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 Shan. Lin Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 3
3 3
4 7
5 34
6 4
7 21
8 16
9 14
10 25
11
TUG1 Promoted Tumor Progression by Sponging miR-335-5p and Regulating CXCR4-Mediated Infiltration of Pro-Tumor Immunocytes in CTNNB1-Mutated Hepatoblastoma
1
12 70
13 89
14 102
15 53
16 158
17 43
18 19
19 141

About Lin Shan

Lin Shan is a scholar working on Aging, Biological Psychiatry and Cell Biology, having authored 19 papers that have together received 809 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Epigenetics and DNA Methylation (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cell Biology (155 citations), Molecular Biology (629 citations) and Oncology (217 citations). Lin Shan has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Yongfeng Shang, Lei Shi, Yang Jin, Ellen Jorgensen, Diana Gietl, Anthony P. Albino, Xiang Ding, Dongxue Su, Xinhua Liu and Na Yu. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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