Sey‐En Lin

1.3k citations
49 papers · 984 · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Sey‐En Lin

47 papers receiving 970 citations

Peers

Sey‐En Lin
Comparison fields: 5 of 94
  • Cancer Research 133
  • Hepatology 68
  • Oncology 234
  • Pulmonary and Respiratory Medicine 210
  • Genetics 60
Replace Yoshiya Shimao with:
Yoshiya Shimao Japan
Tanya A. Rege United States
Zongliu Hou China
Jong Kyung Park South Korea
Julius Klominek Sweden
John M. Garland United Kingdom
Jane Lane United Kingdom
Juan Bayo Argentina
Xing-Juan Yu China
Sey‐En Lin relative to Yoshiya Shimao Japan Yoshiya Shimao's profile →
Citations per field
00.5×5.5×
Yoshiya Shimao · 1×
Citations per year

Countries citing papers authored by Sey‐En Lin

Since Specialization
Citations

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

Fields of papers citing papers by Sey‐En Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 200280
3 202051
4 198349
5 201747
6 201645
7 202044
8 201140
9 201340
10 201639
11 201139
12 201329
13 201027
14 200121
15 201120
16 199220
17
Identification of FKBP11 as a biomarker for hepatocellular carcinoma.
201320
18 202219
19 201317
20 200717

About Sey‐En Lin

Sey‐En Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Hepatology, having authored 49 papers that have together received 984 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Lung Cancer Research Studies (3 papers), RNA modifications and cancer (3 papers), Cancer Cells and Metastasis (2 papers), Colorectal and Anal Carcinomas (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Cancer Research (133 citations), Hepatology (68 citations), Oncology (234 citations), Pulmonary and Respiratory Medicine (210 citations) and Genetics (60 citations). Sey‐En Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Ting Chou, Shih-Hsin Hsiao, Chi‐Li Chung, Motoo Kitagawa, Kenichi Harigaya, Toshinao Oyama, Takahiro Nagase, Chi‐Neu Tsai, Shih‐Han Hung and How Tseng. Their work appears in journals such as Cancers, PLoS ONE, Journal of Personalized Medicine, Cancer Research and Lung Cancer.

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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