Sunju Lee

4.0k citations
99 papers · 3.2k · h-index 32

Impact in

  • Oncology top 2%
    • Lymphatic System and Diseases
    • Cancer-related Molecular Pathways
  • Urology top 1%
    • Urinary Bladder and Prostate Research

Papers in

    • Urinary Bladder and Prostate Research 9
    • Lymphatic System and Diseases 15
    • Viral-associated cancers and disorders 2

Sunju Lee

95 papers receiving 3.1k citations

Peers

Sunju Lee
Comparison fields: 5 of 92
  • Oncology 797
  • Urology 203
  • Ophthalmology 90
  • Pulmonary and Respiratory Medicine 213
  • Cellular and Molecular Neuroscience 78
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Sunju Lee relative to Junji Nishimura Japan Junji Nishimura's profile →
Citations per field
00.5×2×4×6×8.6×
Junji Nishimura · 1×
Citations per year

Countries citing papers authored by Sunju Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sunju Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010219
2
Frequent alteration of p63 expression in human primary bladder carcinomas.
2000187
3 2021148
4 2014143
5 2008130
6
Frequent epigenetic inactivation of RASSF1A in human bladder carcinoma.
2001128
7 2017128
8 2019122
9 2017119
10 2005104
11 202281
12 201280
13 201077
14 200672
15
Elevated and biallelic expression of p73 is associated withprogression of human bladder cancer.
199969
16 201767
17 201263
18 202259
19 200654
20 201053

About Sunju Lee

Sunju Lee is a scholar working on Urology, Oncology, Psychiatry and Mental health, Epidemiology and Surgery, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (15 papers), Urinary Bladder and Prostate Research (9 papers), Urinary Tract Infections Management (7 papers), Dementia and Cognitive Impairment Research (6 papers), Phonocardiography and Auscultation Techniques (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Protein purification and stability (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Oncology (797 citations), Urology (203 citations), Ophthalmology (90 citations), Pulmonary and Respiratory Medicine (213 citations) and Cellular and Molecular Neuroscience (78 citations). Sunju Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sung‐Goo Chang, Jaehyuk Yoo, Dongwon Choi, Young‐Kwon Hong, Jin Il Kim, Inho Choi, Chester J. Koh, Young-Kwon Hong, Koo Han Yoo and Ha Neul Lee. Their work appears in journals such as Scientific Reports, Journal of Korean Medical Science, Blood, Urology and International Journal of Molecular Sciences.

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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