Chang‐Shen Lin

8.3k citations
78 papers · 1.7k · h-index 23

Impact in

Papers in

    • Cancer Cells and Metastasis 8
    • Cancer-related Molecular Pathways 4
    • Pluripotent Stem Cells Research 8
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
    • Genomics, phytochemicals, and oxidative stress 5
    • CRISPR and Genetic Engineering 5

Chang‐Shen Lin

77 papers receiving 1.7k citations

Peers

Chang‐Shen Lin
Comparison fields: 5 of 111
  • Periodontics 148
  • Cancer Research 256
  • Otorhinolaryngology 66
  • Oncology 377
  • Reproductive Medicine 93
Replace Yun Feng with:
Yun Feng China
Hsuan Liu Taiwan
Chia‐Wei Hsu Taiwan
Nicholas A. Cacalano United States
Márta Széll Hungary
Gajanan J. Sathe India
Hubert Stöppler United States
Mitsunobu Sato Japan
Russell J. Collins Australia
Renate Hellmiss United States
Chang‐Shen Lin relative to Yun Feng China Yun Feng's profile →
Citations per field
00.5×2×3×3.9×
Yun Feng · 1×
Citations per year

Countries citing papers authored by Chang‐Shen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Shen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993154
2 2008122
3 200488
4 201564
5 201061
6 202060
7 201358
8 200655
9 200452
10 201148
11 201644
12 200437
13 201136
14 200835
15 201634
16 200933
17 201032
18 202230
19 200130
20 199730

About Chang‐Shen Lin

Chang‐Shen Lin is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Pluripotent Stem Cells Research (8 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), CRISPR and Genetic Engineering (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Periodontics (148 citations), Cancer Research (256 citations), Otorhinolaryngology (66 citations), Oncology (377 citations) and Reproductive Medicine (93 citations). Chang‐Shen Lin has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kazunari K. Yokoyama, Taesun Park, John C. Leavitt, Zhiling Chen, Ying‐Chu Lin, Ka‐Wo Lee, Shigeo Saito, Kenly Wuputra, Jen‐Yang Chen and Yi‐Shan Tsai. Their work appears in journals such as Journal of Personalized Medicine, International Journal of Molecular Sciences, Oncogene, Journal of Medical Virology and Oncotarget.

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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