Hyewon Lee

816 citations
40 papers · 650 · h-index 14

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 10
    • Hematopoietic Stem Cell Transplantation 10
    • Chronic Myeloid Leukemia Treatments 9
    • Acute Myeloid Leukemia Research 8
    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4

Hyewon Lee

38 papers receiving 643 citations

Peers

Hyewon Lee
Comparison fields: 5 of 61
  • Hematology 360
  • Genetics 98
  • Oncology 165
  • Public Health, Environmental and Occupational Health 174
  • Pathology and Forensic Medicine 61
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Citations per year

Countries citing papers authored by Hyewon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyewon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 201264
3 202151
4 201146
5 201545
6 201828
7 201626
8 201723
9 201420
10 201719
11 201717
12 201715
13 201515
14 202315
15 201712
16 202011
17 20189
18 20168
19 20158
20 20197

About Hyewon Lee

Hyewon Lee is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology, having authored 40 papers that have together received 650 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Hematopoietic Stem Cell Transplantation (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (360 citations), Genetics (98 citations), Oncology (165 citations), Public Health, Environmental and Occupational Health (174 citations) and Pathology and Forensic Medicine (61 citations). Hyewon Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyeon‐Seok Eom, Sun‐Young Kong, Igor Novitzky‐Basso, Dennis Dong Hwan Kim, Eunyoung Lee, Eunhye Park, Hyeon Jin Park, Hyun-Joo Kong, Young‐Joo Won and Byung-Kiu Park. Their work appears in journals such as Annals of Laboratory Medicine, Haematologica, Annals of Hematology, BioMed Research International and Blood.

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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