Ok-Jun Lee

3.5k citations
108 papers · 2.6k · 1 hit paper · h-index 25

Impact in

Papers in

Ok-Jun Lee

104 papers receiving 2.5k citations

Ok-Jun Lee's Hit Papers

Infection and Rapid Transmission of SARS-CoV-2 in Ferrets 2020 · 714 citations
7140+2+4Years since publication200400600

Peers

Ok-Jun Lee
Comparison fields: 5 of 114
  • Infectious Diseases 856
  • Agronomy and Crop Science 226
  • Cancer Research 290
  • Modeling and Simulation 96
  • Animal Science and Zoology 181
Replace Benedict Yan with:
Benedict Yan Singapore
H. Benjamin Larman United States
Karen E. Bijwaard United States
Simon David Scott United Kingdom
Béatrice Riteau France
Rex K.H. Au-Yeung China
Yuchang Li China
Su‐Hyung Park South Korea
Grazia Galli Italy
Martina Severa Italy
Ok-Jun Lee relative to Benedict Yan Singapore Benedict Yan's profile →
Citations per field
00.5×2×4×7.0×
Benedict Yan · 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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Infection and Rapid Transmission of SARS-CoV-2 in Ferrets
Hit paper breakdown →
2020714
2 2009154
3 2014112
4 2013107
5 2011105
6 201174
7 202063
8 202258
9 201545
10 201144
11 201842
12 201840
13 202240
14 201438
15 201837
16 201237
17 202036
18 201433
19 201333
20 201733

About Ok-Jun Lee

Ok-Jun Lee is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Rheumatology, having authored 108 papers that have together received 2.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Bladder and Urothelial Cancer Treatments (8 papers), Respiratory viral infections research (7 papers), Urinary and Genital Oncology Studies (7 papers), Lung Cancer Treatments and Mutations (6 papers), Peptidase Inhibition and Analysis (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Animal Disease Management and Epidemiology (5 papers). The work is most often cited by research in Infectious Diseases (856 citations), Agronomy and Crop Science (226 citations), Cancer Research (290 citations), Modeling and Simulation (96 citations) and Animal Science and Zoology (181 citations). Ok-Jun Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Ki Hyeong Lee, Seung-Myoung Son, Hye‐Suk Han, Ki Man Lee, Min‐Suk Song, Young Ki Choi, Yun Hee Baek, Kang Hyeon Choe, Seok Joong Yun and Jin Young An. Their work appears in journals such as Cancer Research and Treatment, Journal of Korean Medical Science, BMC Cancer, Journal of Virology and Emerging Microbes & Infections.

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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