Jen‐Chung Ko

1.8k citations
67 papers · 1.4k · h-index 22

Impact in

Papers in

Jen‐Chung Ko

65 papers receiving 1.3k citations

Peers

Jen‐Chung Ko
Comparison fields: 5 of 107
  • Toxicology 78
  • Oncology 290
  • Pulmonary and Respiratory Medicine 265
  • Infectious Diseases 140
  • Small Animals 55
Replace Geom Seog Seo with:
Geom Seog Seo South Korea
Bin Zhao China
Federico Perna Italy
Shih-Chun Lee Taiwan
Likun Gong China
Xingpei Hao United States
Shigeru Ohmori Japan
Yosuke Matsuno Japan
Fusao Komada Japan
Te‐Chun Hsia Taiwan
Jen‐Chung Ko relative to Geom Seog Seo South Korea Geom Seog Seo's profile →
Citations per field
00.5×
Geom Seog Seo · 1×
Citations per year

Countries citing papers authored by Jen‐Chung Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jen‐Chung Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Chung Ko. 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‐Chung Ko. The network helps show where Jen‐Chung Ko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 202177
3 200963
4 201661
5 201754
6 201653
7 200853
8 200946
9 202044
10 200938
11 200835
12 201131
13 202029
14 201929
15 201528
16 200926
17 201725
18 201425
19 202124
20 201023

About Jen‐Chung Ko

Jen‐Chung Ko is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Infectious Diseases and Small Animals, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer therapeutics and mechanisms (9 papers), DNA Repair Mechanisms (8 papers), Lung Cancer Research Studies (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Toxicology (78 citations), Oncology (290 citations), Pulmonary and Respiratory Medicine (265 citations), Infectious Diseases (140 citations) and Small Animals (55 citations). Jen‐Chung Ko has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yun‐Wei Lin, Meng‐Rui Lee, Sheng‐Kai Liang, Shih‐Ci Ciou, Chong‐Jen Yu, Chao‐Min Cheng, Szu‐Ting Lin, Jann‐Yuan Wang, Jin‐Yuan Shih and Ying-Jhen Su. Their work appears in journals such as Biochemical Pharmacology, Lung Cancer, Experimental Cell Research, Pharmacology and Scientific Reports.

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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