Seok Lee

8.4k citations
399 papers · 6.2k · h-index 37

Impact in

  • Hematology top 0.2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Seok Lee

377 papers receiving 6.0k citations

Peers

Seok Lee
Comparison fields: 5 of 176
  • Hematology 1.9k
  • Transplantation 139
  • Oceanography 597
  • Genetics 416
  • Bioengineering 194
Replace Stephen Robinson with:
Stephen Robinson United Kingdom
Masao Tanaka Japan
Jiří Vencovský Czechia
Soichi Kojima Japan
Hiroshi Kojima Japan
Takashi Tsuji Japan
Takashi Uchiyama Japan
John D. Isaacs United Kingdom
Rolf K. Reed Norway
Hiroshi Okada Japan
Seok Lee relative to Stephen Robinson United Kingdom Stephen Robinson's profile →
Citations per field
00.5×10×12.9×
Stephen Robinson · 1×
Citations per year

Countries citing papers authored by Seok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 399 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003216
2 2010200
3 2002191
4 2005150
5 2008146
6 2016130
7 2017125
8 2018114
9 2001113
10 200886
11 201679
12 201172
13 200966
14 201866
15 200665
16 200964
17 200064
18 201963
19 200361
20 201459

About Seok Lee

Seok Lee is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Electrical and Electronic Engineering and Molecular Biology, having authored 399 papers that have together received 6.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (91 papers), Acute Myeloid Leukemia Research (79 papers), Acute Lymphoblastic Leukemia research (56 papers), Chronic Myeloid Leukemia Treatments (39 papers), Optical Network Technologies (26 papers), Advanced Photonic Communication Systems (24 papers), Multiple Myeloma Research and Treatments (21 papers) and Oceanographic and Atmospheric Processes (21 papers). The work is most often cited by research in Hematology (1.9k citations), Transplantation (139 citations), Oceanography (597 citations), Genetics (416 citations) and Bioengineering (194 citations). Seok Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hee‐Je Kim, Yoo‐Jin Kim, Heung‐Jae Lie, Chang‐Ki Min, Seok‐Goo Cho, Ki‐Seong Eom, Byung‐Sik Cho, Cheol‐Ho Cho, Sung‐Eun Lee and Woo-Sung Min. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, European Journal Of Haematology, International Journal of Hematology and Annals of Hematology.

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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