In‐Hee Lee

4.4k citations
114 papers · 1.8k · 1 hit paper · h-index 19

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • DNA and Biological Computing 6
    • Advanced biosensing and bioanalysis techniques 5
    • Consumer Perception and Purchasing Behavior 18

In‐Hee Lee

97 papers receiving 1.8k citations

In‐Hee Lee's Hit Papers

Clonal evolution of glioblastoma under therapy 2016 · 485 citations
4850+3+6Years since publication100200300400

Peers

In‐Hee Lee
Comparison fields: 5 of 149
  • Genetics 528
  • Cancer Research 497
  • Molecular Biology 773
  • Modeling and Simulation 43
  • Oncology 252
Replace Pedro Carmona‐Sáez with:
Pedro Carmona‐Sáez Spain
Yun‐Wen Zheng Japan
Sung-Hak Kim South Korea
Jeremy Ryan United States
Qin Yu China
Kar‐Ming Fung United States
Zixing Chen China
Nicki Panoskaltsis United Kingdom
Tao Peng China
In‐Hee Lee relative to Pedro Carmona‐Sáez Spain Pedro Carmona‐Sáez's profile →
Citations per field
00.5×6.5×
Pedro Carmona‐Sáez · 1×
Citations per year

Countries citing papers authored by In‐Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by In‐Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clonal evolution of glioblastoma under therapy
Hit paper breakdown →
2016485
2 2015208
3 2005137
4 201167
5 201951
6 201148
7 200845
8 201837
9 202134
10 201733
11 200332
12 201430
13 201329
14 201529
15 201428
16 201427
17 200726
18 202025
19 201418
20 201318

About In‐Hee Lee

In‐Hee Lee is a scholar working on Molecular Biology, Marketing, Genetics, Cancer Research and Cultural Studies, having authored 114 papers that have together received 1.8k indexed citations. Recurring topics across this work include Consumer Perception and Purchasing Behavior (18 papers), Diverse Topics in Contemporary Research (11 papers), Genomics and Rare Diseases (8 papers), Cancer Genomics and Diagnostics (8 papers), Glioma Diagnosis and Treatment (7 papers), Computational Drug Discovery Methods (7 papers), DNA and Biological Computing (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Genetics (528 citations), Cancer Research (497 citations), Molecular Biology (773 citations), Modeling and Simulation (43 citations) and Oncology (252 citations). In‐Hee Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sek Won Kong, Byoung-Tak Zhang, Sung‐Young Shin, Do‐Hyun Nam, Woong‐Yang Park, Dongyung Kim, Andrew J. Blumberg, Oliver Elliott, Yong‐Jae Shin and Zhaoqi Liu. Their work appears in journals such as Natural Product Communications, Evidence-based Complementary and Alternative Medicine, Oncotarget, Human Mutation and Scientific Reports.

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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