Eunsol Lee

658 citations
43 papers · 515 · h-index 13

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Eunsol Lee

38 papers receiving 506 citations

Peers

Eunsol Lee
Comparison fields: 5 of 102
  • Genetics 102
  • Immunology 79
  • Hematology 35
  • Biomaterials 39
  • Pulmonary and Respiratory Medicine 82
Replace Jun Ohno with:
Jun Ohno Japan
Sing Wan Wong United States
Chun‐Sheng Bi China
Cierra J. Walker United States
Bruna Codispoti Italy
Padraic P. Levings United States
Richard Daculsi France
Panke Cheng China
Denis Baranovskii Russia
Xiaozhong Zhou China
Eunsol Lee relative to Jun Ohno Japan Jun Ohno's profile →
Citations per field
00.5×3.2×
Jun Ohno · 1×
Citations per year

Countries citing papers authored by Eunsol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eunsol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 201545
3 201441
4 201532
5 201530
6 201529
7 202326
8 201926
9 202222
10 201419
11 201518
12 201914
13 201513
14 202212
15 202011
16 20149
17 20149
18 20238
19 20118
20 20147

About Eunsol Lee

Eunsol Lee is a scholar working on Biomedical Engineering, Immunology, Molecular Biology, Biomaterials and Genetics, having authored 43 papers that have together received 515 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (9 papers), Mesenchymal stem cell research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Immune Cell Function and Interaction (4 papers), Color perception and design (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (102 citations), Immunology (79 citations), Hematology (35 citations), Biomaterials (39 citations) and Pulmonary and Respiratory Medicine (82 citations). Eunsol Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Young-Sun Nam, Jung-Yeon Lim, Keon-Il Im, Seok‐Goo Cho, Nayoun Kim, Young‐Woo Jeon, Eun Seong Lee, Hyun Woo Goo, Jae-Yeong Lee and Sang Min Lee. Their work appears in journals such as Polymers for Advanced Technologies, Pharmaceutics, Archives of Design Research, Journal of Pharmaceutical Investigation and Stem Cells and Development.

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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