Hyewon Lee

788 total citations
38 papers, 424 citations indexed

About

Hyewon Lee is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Hyewon Lee has authored 38 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 13 papers in Genetics and 11 papers in Oncology. Recurrent topics in Hyewon Lee's work include Multiple Myeloma Research and Treatments (14 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Acute Myeloid Leukemia Research (7 papers). Hyewon Lee is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Acute Myeloid Leukemia Research (7 papers). Hyewon Lee collaborates with scholars based in South Korea, United States and Canada. Hyewon Lee's co-authors include Hyeon‐Seok Eom, Dennis Dong Hwan Kim, Igor Novitzky‐Basso, Sun‐Young Kong, Eunyoung Lee, Hyeon Jin Park, Young‐Joo Won, Eunhye Park, Hyun-Joo Kong and Byung-Kiu Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Hyewon Lee

36 papers receiving 420 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyewon Lee South Korea 12 220 150 127 88 62 38 424
Antonella Russo Rossi Italy 12 151 0.7× 93 0.6× 92 0.7× 140 1.6× 59 1.0× 23 384
Hai‐Rong Qiu China 13 216 1.0× 150 1.0× 171 1.3× 211 2.4× 135 2.2× 60 498
Jarosław Dybko Poland 12 116 0.5× 119 0.8× 93 0.7× 43 0.5× 78 1.3× 44 344
Minami Yamada Japan 12 154 0.7× 134 0.9× 77 0.6× 78 0.9× 90 1.5× 24 369
Anna Colpo Italy 11 104 0.5× 71 0.5× 133 1.0× 77 0.9× 46 0.7× 24 376
Brian L. Abbott United States 10 105 0.5× 204 1.4× 145 1.1× 89 1.0× 54 0.9× 25 404
Kazutaka Ozeki Japan 11 242 1.1× 76 0.5× 124 1.0× 98 1.1× 33 0.5× 42 385
T‐T. Pelliniemi Finland 8 212 1.0× 129 0.9× 124 1.0× 59 0.7× 41 0.7× 11 368
Giambattista Bertani Italy 8 302 1.4× 70 0.5× 188 1.5× 103 1.2× 42 0.7× 20 460

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-authorship network of co-authors of Hyewon Lee

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

All Works

20 of 20 papers shown
1.
Kim, Tae‐Hyung, Hyewon Lee, José‐Mario Capo‐Chichi, et al.. (2022). Single cell proteogenomic sequencing identifies a relapse‐fated AML subclone carrying FLT3‐ITD with CN‐LOH at chr13q. SHILAP Revista de lepidopterología. 3(2). 426–433. 1 indexed citations
2.
Park, Sungwoo, Eun‐Ji Choi, Hyewon Lee, et al.. (2021). Treatment-free remission of chronic myeloid leukemia in real-world practice by the detection limit of MR4.3. Leukemia Research. 105. 106578–106578. 1 indexed citations
3.
Uhm, Jieun, et al.. (2021). Real-world management of chronic myeloid leukemia in South Korea: the TARGET survey. Blood Research. 56(1). 31–37. 2 indexed citations
4.
Chung, Yousun, Hyoeun Shim, Dong-Eun Lee, et al.. (2020). Development of an Automated Image Analyzer for Microvessel Density Measurement in Bone Marrow Biopsies. Annals of Laboratory Medicine. 40(4). 312–316. 2 indexed citations
5.
Jung, Sung‐Hoon, Deok‐Hwan Yang, Seok Lee, et al.. (2018). Efficacy and safety of blinatumomab treatment in adult Korean patients with relapsed/refractory acute lymphoblastic leukemia on behalf of the Korean Society of Hematology ALL Working Party. Annals of Hematology. 98(1). 151–158. 20 indexed citations
6.
7.
Cho, Hyungwoo, Dok Hyun Yoon, Kyu-pyo Kim, et al.. (2018). Phase I study of CKD-581, a pan-histone deacetylase inhibitor, in patients with lymphoma or multiple myeloma refractory to standard therapy. Investigational New Drugs. 36(5). 877–885. 9 indexed citations
8.
Lee, Hyewon, Weon Seo Park, Sang Hyun Hwang, et al.. (2017). A Case of Disseminated Infection with Skin Manifestation due to Non-neoformans and Non-gattiiCryptococcus in a Patient with Refractory Acute Myeloid Leukemia. Infection and Chemotherapy. 49(2). 142–142. 9 indexed citations
9.
Lee, Ki Hong, Kyong‐Ah Yoon, Eunyoung Lee, et al.. (2017). Chromothripsis in Treatment Resistance in Multiple Myeloma. Genomics & Informatics. 15(3). 87–97. 15 indexed citations
10.
Eom, Hyeon Seok, et al.. (2017). Comparison of Two Apheresis Systems of COBE and Optia for Autologous Peripheral Blood Stem Cell Collection. Annals of Laboratory Medicine. 37(4). 327–330. 20 indexed citations
11.
Lee, Hyewon, Tak Yun, Eunyoung Lee, et al.. (2017). Prognostic role of the neutrophil-to-lymphocyte ratio in patients with primary central nervous system lymphoma. Oncotarget. 8(43). 74975–74986. 19 indexed citations
12.
Eom, Hyeon‐Seok, Hyewon Lee, Boram Park, et al.. (2016). Prognostic Implications of Monosomies in Patients With Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 17(3). 159–164.e2. 7 indexed citations
13.
Lee, Ho Sup, Chang‐Ki Min, Je‐Jung Lee, et al.. (2016). The clinical impact of thalidomide maintenance after autologous stem cell transplantation in patients with newly diagnosed multiple myeloma in real clinical practice of Korea. Annals of Hematology. 95(6). 911–919. 3 indexed citations
14.
15.
16.
Park, Eunhye, Hyewon Lee, Young‐Joo Won, et al.. (2015). Nationwide statistical analysis of myeloid malignancies in Korea: incidence and survival rate from 1999 to 2012. Blood Research. 50(4). 204–204. 43 indexed citations
17.
Kım, Kihyun, Dok Hyun Yoon, Jin Seok Kim, et al.. (2014). Clinical Factors Associated with Response or Survival after Chemotherapy in Patients with Waldenström Macroglobulinemia in Korea. BioMed Research International. 2014. 1–7. 3 indexed citations
18.
Eom, Hyeon Seok, et al.. (2013). Assessment of Effects of Phlebotomy in Patients with Polycythemia Vera and Secondary Polycythemia. The Korean Journal of Blood Transfusion. 24(3). 265–274. 3 indexed citations
19.
Park, Hyeon Jin, Eunhye Park, Kyu‐Won Jung, et al.. (2012). Statistics of hematologic malignancies in Korea: incidence, prevalence and survival rates from 1999 to 2008. The Korean Journal of Hematology. 47(1). 28–28. 63 indexed citations
20.
Park, In Hae, Yeon-Su Lee, Keun Seok Lee, et al.. (2011). Single nucleotide polymorphisms of CYP19A1 predict clinical outcomes and adverse events associated with letrozole in patients with metastatic breast cancer. Cancer Chemotherapy and Pharmacology. 68(5). 1263–1271. 45 indexed citations

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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