Yu‐Ran Lee

468 citations
33 papers · 342 · h-index 11

Impact in

    • Parasitic Infections and Diagnostics
    • Toxoplasma gondii Research Studies
    • Legionella and Acanthamoeba research

Papers in

    • Prion Diseases and Protein Misfolding 5
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Immune Response and Inflammation 2

Yu‐Ran Lee

31 papers receiving 341 citations

Peers

Yu‐Ran Lee
Comparison fields: 5 of 61
  • Parasitology 118
  • Endocrinology 76
  • Infectious Diseases 70
  • Microbiology 20
  • Small Animals 24
Replace Gaël Even with:
Gaël Even France
Jacquelynne Cervantes Mexico
Mark D. Rolsma United States
Carina S. Pinheiro Brazil
Adriana Oliveira Costa Brazil
Dexter Sun United States
Andrea Kennard United States
Angela Colston United Kingdom
Cath Booth United Kingdom
Yamato Sajiki Japan
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Citations per field
00.5×12×
Gaël Even · 1×
Citations per year

Countries citing papers authored by Yu‐Ran Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ran Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 201243
3 201531
4 201324
5 200522
6 201621
7 201920
8 201816
9 201414
10 201813
11 202210
12 201310
13 20229
14 20218
15 20225
16 20215
17 20235
18 20224
19 20234
20 20134

About Yu‐Ran Lee

Yu‐Ran Lee is a scholar working on Molecular Biology, Immunology, Epidemiology, Parasitology and Infectious Diseases, having authored 33 papers that have together received 342 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (6 papers), Prion Diseases and Protein Misfolding (5 papers), Legionella and Acanthamoeba research (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Neurological diseases and metabolism (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Parasitology (118 citations), Endocrinology (76 citations), Infectious Diseases (70 citations), Microbiology (20 citations) and Small Animals (24 citations). Yu‐Ran Lee has collaborated with scholars based in South Korea, Japan and Canada. Frequent co-authors include Ha-Young Kim, Hyun-Hee Kong, Yeonchul Hong, Jong Wan Kim, Oh‐Deog Kwon, Seung‐Hun Lee, Dongmi Kwak, Eun‐Kyung Moon, Youn‐Kyoung Goo and Bijay Kumar Jha. Their work appears in journals such as Free Radical Biology and Medicine, Biomedicines, International Journal of Molecular Sciences, Veterinary Parasitology and Nurse Education in Practice.

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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