Ok-Jun Lee

3.4k citations
103 papers · 1.7k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Animal Disease Management and Epidemiology

Papers in

Ok-Jun Lee

98 papers receiving 1.6k citations

Peers

Ok-Jun Lee
Comparison fields: 5 of 91
  • Cancer Research 279
  • Agronomy and Crop Science 186
  • Epidemiology 421
  • Pulmonary and Respiratory Medicine 364
  • Infectious Diseases 208
Replace Hiroshi Kikuchi with:
Hiroshi Kikuchi Japan
Maria P. Wong Hong Kong
Miao Xu China
Hao Ho United States
Harsh B. Pathak United States
Mette Munch Denmark
Franz X. Bosch Germany
G. Spira Israel
Shigeru Kusumoto Japan
Todd Meyer United States
Ok-Jun Lee relative to Hiroshi Kikuchi Japan Hiroshi Kikuchi's profile →
Citations per field
00.5×2.9×
Hiroshi Kikuchi · 1×
Citations per year

Countries citing papers authored by Ok-Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ok-Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ok-Jun Lee. 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 Ok-Jun Lee. The network helps show where Ok-Jun Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Ok-Jun Lee, 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 Ok-Jun Lee Line = papers co-authored together Ok-Jun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009149
2 2014106
3 2013103
4 201198
5 201171
6 202060
7 202250
8 201544
9 201143
10 201839
11 201837
12 201437
13 201234
14 201732
15 202031
16 201331
17 201430
18 201928
19 201426
20 200926

About Ok-Jun Lee

Ok-Jun Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Epidemiology, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (7 papers), Lung Cancer Treatments and Mutations (6 papers), Metastasis and carcinoma case studies (6 papers), Cancer Diagnosis and Treatment (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Peptidase Inhibition and Analysis (5 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Cancer Research (279 citations), Agronomy and Crop Science (186 citations), Epidemiology (421 citations), Pulmonary and Respiratory Medicine (364 citations) and Infectious Diseases (208 citations). Ok-Jun Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Seung-Myoung Son, Ki Hyeong Lee, Hye‐Suk Han, Young Ki Choi, Min‐Suk Song, Ki Man Lee, Seok Joong Yun, Chul‐Joong Kim, Jin An and Philippe Noriel Q. Pascua. Their work appears in journals such as Cancer Research and Treatment, Journal of Korean Medical Science, Cancer Research, BMC Cancer and Journal of Virology.

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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