Ji Won Lee

3.3k citations
189 papers · 2.6k · h-index 25

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Glioma Diagnosis and Treatment 16
    • Neuroblastoma Research and Treatments 30

Ji Won Lee

179 papers receiving 2.6k citations

Peers

Ji Won Lee
Comparison fields: 5 of 126
  • Genetics 412
  • Hematology 332
  • Neurology 309
  • Electronic, Optical and Magnetic Materials 273
  • Cancer Research 178
Replace Yuko Tanaka with:
Yuko Tanaka Japan
Eun Young Lee South Korea
Yuji Teramura Japan
Suresh Kumar Balasubramanian United States
Huiping Sun China
Yanmin Zhao China
Lizhen Liu China
Sabine Neuß Germany
Jian He China
Jong‐Kai Hsiao Taiwan
Ji Won Lee relative to Yuko Tanaka Japan Yuko Tanaka's profile →
Citations per field
00.5×2×2.9×
Yuko Tanaka · 1×
Citations per year

Countries citing papers authored by Ji Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018243
2 2008101
3 201990
4 201785
5 202265
6 201853
7 201853
8 201151
9 201351
10 201942
11 201538
12 201437
13 201237
14 201736
15 201333
16 201731
17 201031
18 201931
19 201428
20 201128

About Ji Won Lee

Ji Won Lee is a scholar working on Genetics, Neurology, Hematology, Electronic, Optical and Magnetic Materials and Public Health, Environmental and Occupational Health, having authored 189 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (30 papers), Acute Lymphoblastic Leukemia research (20 papers), Hematopoietic Stem Cell Transplantation (19 papers), Glioma Diagnosis and Treatment (16 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Advanced Photocatalysis Techniques (12 papers), Acute Myeloid Leukemia Research (9 papers) and Childhood Cancer Survivors' Quality of Life (7 papers). The work is most often cited by research in Genetics (412 citations), Hematology (332 citations), Neurology (309 citations), Electronic, Optical and Magnetic Materials (273 citations) and Cancer Research (178 citations). Ji Won Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Ki Woong Sung, Hong Hoe Koo, Keon Hee Yoo, Kuan Soo Shin, Kwan Kim, Jin‐Hyo Boo, Dong In Kim, Hyoung Jin Kang, Myoung Woo Lee and Hee Young Shin. Their work appears in journals such as Journal of Korean Medical Science, Cancer Research and Treatment, PLoS ONE, Pediatric Blood & Cancer and Applied Surface Science.

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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