Jen-Kun Lin

4.3k total citations
45 papers, 3.7k citations indexed

About

Jen-Kun Lin is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jen-Kun Lin has authored 45 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Oncology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Jen-Kun Lin's work include Cancer-related Molecular Pathways (13 papers), Tea Polyphenols and Effects (10 papers) and Phytochemicals and Antioxidant Activities (7 papers). Jen-Kun Lin is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), Tea Polyphenols and Effects (10 papers) and Phytochemicals and Antioxidant Activities (7 papers). Jen-Kun Lin collaborates with scholars based in Taiwan, United States and Netherlands. Jen-Kun Lin's co-authors include Shoei‐Yn Lin‐Shiau, Yu‐Chih Liang, Chi‐Tang Ho, Chieh-Fu Chen, Jer-Yuh Liu, Su-Ju Lin, Min‐Hsiung Pan, Yuan‐Soon Ho, Chien-Tsu Chen and Chien-Shu Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Jen-Kun Lin

45 papers receiving 3.6k citations

Peers

Jen-Kun Lin
Comparison fields: 5 of 117
  • Molecular Biology 1.6k
  • Biochemistry 855
  • Pathology and Forensic Medicine 854
  • Plant Science 514
  • Pharmacology 484
Replace Jen‐Kun Lin with:
Jen‐Kun Lin Taiwan
S.M. Hadi India
Meishiang Jang United States
Kazumi Yagasaki Japan
Lai K. Leung Hong Kong
Pei‐Ni Chen Taiwan
Deeba N. Syed United States
Joydeb Kumar Kundu South Korea
Chithan Kandaswami United States
Yong Pil Hwang South Korea
Jen‐Kun Lin Taiwan View profile →
Citations per field, relative to Jen-Kun Lin
Jen-Kun Lin · 1×
Citations per year, relative to Jen-Kun Lin
Jen-Kun Lin · 1×

Countries citing papers authored by Jen-Kun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jen-Kun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jen-Kun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jen-Kun Lin. A scholar is included among the top collaborators of Jen-Kun Lin 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 Jen-Kun Lin. Jen-Kun Lin 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 66
2 26
3 18
4 51
5 20
6 239
7 242
8 36
9 202
10 83
11 478
12 279
13 129
14 18
15 33
16 24
17 17
18 3
19 227
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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