Sangjun Lee

133 papers receiving 3.1k citations

Peers

Sangjun Lee
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 181
  • Cancer Research 406
  • Microbiology 135
  • Immunology 397
  • Dermatology 145
Replace Flavia Radogna with:
Flavia Radogna Luxembourg
Jeanho Yun South Korea
Natascia Ventura Germany
Yan Zhang China
Weiwei Liu China
Alessandra Stacchiotti Italy
Yeong‐Min Yoo South Korea
Eun‐Kyoung Kim South Korea
Razvan Lapadat United States
Carlos Guillén Spain
Sangjun Lee relative to Flavia Radogna Luxembourg Flavia Radogna's profile →
Citations per field
00.5×2×4×6×8×9.6×
Flavia Radogna · 1×
Citations per year

Countries citing papers authored by Sangjun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sangjun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008229
2 2004217
3 2012131
4 2018130
5 2008123
6 2002103
7 200599
8 202094
9 200483
10 199879
11 200679
12 200978
13 201176
14 200771
15 200767
16 201966
17 202064
18 200258
19 201958
20 202148

About Sangjun Lee

Sangjun Lee is a scholar working on Immunology, Pathology and Forensic Medicine, Cancer Research, Oncology and Genetics, having authored 146 papers that have together received 3.3k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (24 papers), Genetic Associations and Epidemiology (9 papers), Global Cancer Incidence and Screening (6 papers), Regulation of Appetite and Obesity (6 papers), Phytoestrogen effects and research (6 papers), Enzyme Production and Characterization (6 papers), Genomics and Phylogenetic Studies (6 papers) and Chronic Kidney Disease and Diabetes (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (181 citations), Cancer Research (406 citations), Microbiology (135 citations), Immunology (397 citations) and Dermatology (145 citations). Sangjun Lee has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Donald Craig Allred, Young‐Ok Kim, Bo‐Hye Nam, Yuki Oka, Dan Medina, Vineet Augustine, Hee Jeong Kong, Woo‐Jin Kim, Sufeng Mao and Syed K. Mohsin. Their work appears in journals such as Fish & Shellfish Immunology, Epidemiology and Health, Bioscience Biotechnology and Biochemistry, Nature and Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology.

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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