Yeon Su Lee

1.3k total citations · 1 hit paper
10 papers, 946 citations indexed

About

Yeon Su Lee is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Yeon Su Lee has authored 10 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Yeon Su Lee's work include SARS-CoV-2 and COVID-19 Research (2 papers), Biological and pharmacological studies of plants (2 papers) and COVID-19 Clinical Research Studies (2 papers). Yeon Su Lee is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Biological and pharmacological studies of plants (2 papers) and COVID-19 Clinical Research Studies (2 papers). Yeon Su Lee collaborates with scholars based in South Korea, Germany and Finland. Yeon Su Lee's co-authors include Fiona Francis, Marie‐Laure Yaspo, Cora S. Thiel, Aarno Palotie, Leena Peltonen, Johanna Aaltonen, Petra Björses, Steffen Henning, Jaakko Perheentupa and Nina Horelli‐Kuitunen and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Applied Surface Science.

In The Last Decade

Yeon Su Lee

7 papers receiving 932 citations

Hit Papers

An autoimmune disease, APECED, caused by mutations in a n... 1997 2026 2006 2016 1997 250 500 750

Peers

Yeon Su Lee
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 517
  • Immunology 470
  • Genetics 403
  • Molecular Biology 127
  • Surgery 67
Replace Bergithe E Oftedal with:
Bergithe E Oftedal Norway
Frank Waldron-Lynch United States
Georgia Afonso France
Veronica Marrella Italy
John M. Barnard Canada
María Pilar Armengol Spain
Miriam Scirpoli Italy
Peter Novota Czechia
Aliakbar Amirzargar Iran
Yoshio Hayashi Japan
Bergithe E Oftedal Norway View profile →
Citations per field, relative to Yeon Su Lee
Yeon Su Lee · 1×
Citations per year, relative to Yeon Su Lee
Yeon Su Lee · 1×

Countries citing papers authored by Yeon Su Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yeon Su Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yeon Su Lee. A scholar is included among the top collaborators of Yeon Su 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 Yeon Su Lee. Yeon Su Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 2
3 6
4 0
5 5
6 8
7 0
8 1
9 34
10
An autoimmune disease, APECED, caused by mutations in a novel gene featuring two PHD-type zinc-finger domains breakdown →
890

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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