Won‐Jae Lee

1.2k citations
91 papers · 867 · h-index 17

Impact in

Papers in

    • Molecular Biology Techniques and Applications 9
    • Pluripotent Stem Cells Research 8
    • Mesenchymal stem cell research 22
    • Virus-based gene therapy research 4

Won‐Jae Lee

70 papers receiving 854 citations

Peers

Won‐Jae Lee
Comparison fields: 5 of 94
  • Genetics 212
  • Urology 52
  • Hematology 77
  • Biomaterials 71
  • Surgery 202
Replace Machteld M. Tiemessen with:
Machteld M. Tiemessen Netherlands
Machiko Arita Japan
Behrouz Nikbin Iran
Grit Kasper Germany
Ran Tao China
Dalia Burzyn United States
Marilyn A. Dietrich United States
Leif Oxburgh United States
Samantha B. Larsen United States
Francisco Arnalich‐Montiel Spain
Won‐Jae Lee relative to Machteld M. Tiemessen Netherlands Machteld M. Tiemessen's profile →
Citations per field
00.5×3.0×
Machteld M. Tiemessen · 1×
Citations per year

Countries citing papers authored by Won‐Jae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Jae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Characterization of chemotherapy mobilized peripheral blood progenitor cells for use in autologous stem cell transplantation.
199277
2 201376
3 201874
4 201971
5 201446
6 201536
7 202132
8 202224
9 201623
10 201521
11 202121
12 199521
13 201920
14 201320
15 201620
16 201119
17 202018
18 201516
19 202216
20 202016

About Won‐Jae Lee

Won‐Jae Lee is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Genetics, having authored 91 papers that have together received 867 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (22 papers), Reproductive Biology and Fertility (11 papers), Tissue Engineering and Regenerative Medicine (10 papers), Molecular Biology Techniques and Applications (9 papers), Pluripotent Stem Cells Research (8 papers), Reproductive Physiology in Livestock (6 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Genetics (212 citations), Urology (52 citations), Hematology (77 citations), Biomaterials (71 citations) and Surgery (202 citations). Won‐Jae Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Gyu‐Jin Rho, Ryoung‐Hoon Jeon, Si‐Jung Jang, Sung‐Lim Lee, Bong-Wook Park, Yeon-Mi Lee, June‐Ho Byun, Sun‐A Ock, B. Mohana Kumar and Seung-Joon Kim. Their work appears in journals such as Reproduction Fertility and Development, Animals, International Journal of Molecular Sciences, Experimental Cell Research and Journal of Veterinary 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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