Ja Young Lee

888 citations
62 papers · 655 · h-index 14

Impact in

Papers in

    • Hepatitis B Virus Studies 5
    • Acute Myeloid Leukemia Research 7
    • Blood groups and transfusion 5

Ja Young Lee

52 papers receiving 633 citations

Peers

Ja Young Lee
Comparison fields: 5 of 126
  • Transplantation 51
  • Molecular Medicine 79
  • Endocrinology 77
  • Hepatology 92
  • Clinical Biochemistry 43
Replace David Chia with:
David Chia Singapore
Esther Ramos Boluda Spain
Dong Hee Whang South Korea
Melissa Richard‐Greenblatt Canada
Liyan Mao China
Miho Ogawa Japan
Sánchez González Spain
Haggai Bar‐Yoseph Israel
Teng‐Yi Lin Taiwan
Ja Young Lee relative to David Chia Singapore David Chia's profile →
Citations per field
00.5×7.7×
David Chia · 1×
Citations per year

Countries citing papers authored by Ja Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ja Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200488
2 200645
3 201141
4 201140
5 201539
6 200939
7 200834
8 200134
9 201227
10 201725
11 201222
12 201917
13 202017
14 201816
15 201413
16 200812
17 200912
18 200811
19 201010
20 201110

About Ja Young Lee

Ja Young Lee is a scholar working on Epidemiology, Hematology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 62 papers that have together received 655 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Hepatitis B Virus Studies (5 papers), Human-Automation Interaction and Safety (5 papers), Blood groups and transfusion (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Traffic and Road Safety (4 papers), Hepatitis C virus research (4 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Transplantation (51 citations), Molecular Medicine (79 citations), Endocrinology (77 citations), Hepatology (92 citations) and Clinical Biochemistry (43 citations). Ja Young Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jeong Hwan Shin, Jeong Nyeo Lee, Hye Ran Kim, Jae Young Yoo, Hak Yang Kim, Myoung Kuk Jang, Seung Hwan Oh, John D. Lee, Kyung Ho Kim and Joon Yong Park. Their work appears in journals such as Annals of Laboratory Medicine, Renal Failure, Journal of Infection, Transfusion and Annals of Human Genetics.

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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