Han‐Woong Lee

14.9k citations
112 papers · 11.5k indexed · 7 hit papers · h-index 37
  • Aging top 0.1%
  • Physiology top 0.2%
    • Telomeres, Telomerase, and Senescence 22
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 24
  • Immunology top 1%
    • CRISPR and Genetic Engineering 14
    • Ubiquitin and proteasome pathways 13
    • RNA Interference and Gene Delivery 9
    • RNA modifications and cancer 7
    • Cancer Research and Treatments 8
    • Cancer, Hypoxia, and Metabolism 7

Han‐Woong Lee

110 papers receiving 11.3k citations

Hit Papers

Vascu...39199620262006201650010001.5k

Peers

Han‐Woong Lee
Comparison fields: 5 of 137
  • Aging 1.2k
  • Physiology 4.3k
  • Oncology 2.9k
  • Immunology 2.1k
  • Molecular Biology 6.5k
Replace Juana M. Flores with:
Juana M. Flores Spain
Goberdhan P. Dimri United States
Olivia M. Pereira‐Smith United States
Fabrizio d’Adda di Fagagna Italy
James W. Horner United States
Shawn E. Holt United States
Maarten H.K. Linskens United States
Choy‐Pik Chiu United States
Diego H. Castrillón United States
Christian Beauséjour Canada
Han‐Woong Lee relative to Juana M. Flores Spain Juana M. Flores's profile →
Citations per field
00.5×1.7×
Juana M. Flores · 1×
Citations per year

Countries citing papers authored by Han‐Woong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Woong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202312
3 20231
4 20214
5 20202
6 201535
7 201352
8 201316
9 201217
10 201240
11 2010100
12 201013
13
Differential Antigen Processing by Dendritic Cell Subsets in Vivobreakdown →
20071105
14 200635
15 2006337
16 200613
17 200425
18 2003143
19 200228
20
Essential role of mouse telomerase in highly proliferative organsbreakdown →
19981040

About Han‐Woong Lee

Han‐Woong Lee is a scholar working on Oncology, Physiology and Molecular Biology, having authored 112 papers that have together received 11.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), Telomeres, Telomerase, and Senescence (22 papers), CRISPR and Genetic Engineering (14 papers), Ubiquitin and proteasome pathways (13 papers), RNA Interference and Gene Delivery (9 papers), Cancer Research and Treatments (8 papers), RNA modifications and cancer (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Aging (1.2k citations), Physiology (4.3k citations) and Oncology (2.9k citations). Han‐Woong Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Ronald A. DePinho, Marı́a A. Blasco, Carol W. Greider, Lynda Chin, Geoffrey J. Gottlieb, Carlos Cordon‐Cardo, Peter M. Lansdorp, Enrique Samper, M. Prakash Hande and Manuel Serrano. Their work appears in journals such as Nature, Science and Cell.

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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