Deog‐Yong Lee

612 citations
45 papers · 459 · h-index 15

Impact in

Papers in

Deog‐Yong Lee

43 papers receiving 445 citations

Peers

Deog‐Yong Lee
Comparison fields: 5 of 62
  • Infectious Diseases 229
  • Endocrinology 65
  • Hepatology 74
  • Molecular Medicine 42
  • Food Science 99
Replace M. JOHN ALBERT with:
M. JOHN ALBERT United States
Alain Rajoharison France
Fabienne Loisy-Hamon France
Akram Najafi Iran
Megan E. Carey United Kingdom
Utpala Mitra India
I Lederer Austria
Min Hwa Lee South Korea
Erin DiCaprio United States
K. E. P. OLSEN Denmark
Deog‐Yong Lee relative to M. JOHN ALBERT United States M. JOHN ALBERT's profile →
Citations per field
00.5×3.9×
M. JOHN ALBERT · 1×
Citations per year

Countries citing papers authored by Deog‐Yong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Deog‐Yong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deog‐Yong 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 Deog‐Yong Lee. The network helps show where Deog‐Yong Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200547
2 201526
3 202025
4 202025
5 202024
6 201023
7 201720
8 201520
9 201619
10 200418
11 201418
12 201217
13 200316
14 200915
15 201715
16 202114
17 200213
18 201112
19 20159
20 20158

About Deog‐Yong Lee

Deog‐Yong Lee is a scholar working on Infectious Diseases, Molecular Biology, Food Science, Endocrinology and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 459 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (19 papers), Salmonella and Campylobacter epidemiology (12 papers), Vibrio bacteria research studies (10 papers), Viral Infections and Immunology Research (7 papers), Hepatitis Viruses Studies and Epidemiology (6 papers), Bacterial biofilms and quorum sensing (6 papers), Bacteriophages and microbial interactions (6 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Infectious Diseases (229 citations), Endocrinology (65 citations), Hepatology (74 citations), Molecular Medicine (42 citations) and Food Science (99 citations). Deog‐Yong Lee has collaborated with scholars based in South Korea, China and Russia. Frequent co-authors include Han Sang Yoo, Sung Jae Shin, Wooyoung Choi, Cheon‐Kwon Yoo, Myung Guk Han, Sang‐Gyun Kang, Gyung Tae Chung, Hee‐Bok Oh, Mi‐Sun Park and Hyun Ju Jeong. Their work appears in journals such as Osong Public Health and Research Perspectives, Viruses, Journal of Clinical Virology, PLoS ONE and Journal of Korean Medical Science.

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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