Su Jin Lee

1.9k total citations
95 papers, 1.3k citations indexed

About

Su Jin Lee is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Su Jin Lee has authored 95 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 22 papers in Epidemiology and 14 papers in Molecular Biology. Recurrent topics in Su Jin Lee's work include COVID-19 Clinical Research Studies (6 papers), Viral Infections and Vectors (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Su Jin Lee is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Viral Infections and Vectors (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Su Jin Lee collaborates with scholars based in South Korea, United States and China. Su Jin Lee's co-authors include Dae Youn Hwang, Sungbaek Seo, Yun Ju Choi, Ji Eun Kim, Byung Kyu Kim, Sun Hee Lee, Bum-Joon Park, Nam‐Chul Ha, Hee Kyoung Choi and Jin‐Kwan Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Su Jin Lee

86 papers receiving 1.3k citations

Peers

Su Jin Lee
Comparison fields: 5 of 143
  • Molecular Biology 373
  • Infectious Diseases 229
  • Epidemiology 196
  • Biomedical Engineering 164
  • Pollution 152
Replace Gulshan Singh with:
Gulshan Singh India
Sabrina Tamburini Italy
Bruno Lamas France
Devojit Kumar Sarma India
Na Shi China
Fang‐Liang Huang Taiwan
Chris Callewaert Belgium
Lia-Mara Diţu Romania
Ruizhen Li China
Gulshan Singh India View profile →
Citations per field, relative to Su Jin Lee
Su Jin Lee · 1×
Citations per year, relative to Su Jin Lee
Su Jin Lee · 1×

Countries citing papers authored by Su Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Su Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Jin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Su Jin Lee. A scholar is included among the top collaborators of Su Jin Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Su Jin Lee. Su Jin Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 10
5 9
6 14
7 6
8 6
9 3
10 21
11 34
12 20
13 11
14 36
15 15
16 6
17 26
18 21
19 46
20
Antiretroviral drug resistance among drug-naive HIV-1 infected patients
2

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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