In‐Hee Lee
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Marketing 18
- Consumer Perception and Purchasing Behavior 18
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- Diverse Topics in Contemporary Research 11
- Co-authors
- Sek Won Kong (20 shared papers)Byoung-Tak Zhang (3 shared papers)Do‐Hyun Nam (5 shared papers)Sung‐Young Shin (2 shared papers)Woong‐Yang Park (3 shared papers)Dongyung Kim (1 shared paper)Yong‐Jae Shin (1 shared paper)Jiguang Wang (1 shared paper)
- Journals
- Natural Product Communications (6 papers)Evidence-based Complementary and Alternative Medicine (5 papers)Nature Genetics (3 papers)Oncotarget (3 papers)Human Mutation (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
In‐Hee Lee
114 papers receiving 3.2k citations
In‐Hee Lee's Hit Papers
Peers
Comparison fields: 5 of 161
- Genetics 784
- Cancer Research 612
- Developmental Neuroscience 100
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 271
Countries citing papers authored by In‐Hee Lee
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
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.
All Works
Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clonal evolution of glioblastoma under therapy Hit paper breakdown → | 2016 | 587 |
| 2 | Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinson’s Disease Hit paper breakdown → | 2020 | 407 |
| 3 | 2015 | 254 | |
| 4 | 2017 | 214 | |
| 5 | 2005 | 150 | |
| 6 | 2018 | 149 | |
| 7 | 2019 | 132 | |
| 8 | 2012 | 128 | |
| 9 | 2019 | 84 | |
| 10 | 2011 | 70 | |
| 11 | 2019 | 58 | |
| 12 | 2011 | 51 | |
| 13 | 2018 | 48 | |
| 14 | 2008 | 47 | |
| 15 | 2021 | 40 | |
| 16 | 2003 | 38 | |
| 17 | 2017 | 36 | |
| 18 | 2013 | 33 | |
| 19 | 2007 | 31 | |
| 20 | 2014 | 31 |
About In‐Hee Lee
In‐Hee Lee is a scholar working on Marketing, Cultural Studies, Molecular Biology, Genetics and Pharmacology, having authored 126 papers that have together received 3.3k indexed citations. Recurring topics across this work include Consumer Perception and Purchasing Behavior (18 papers), Diverse Topics in Contemporary Research (11 papers), Advanced biosensing and bioanalysis techniques (9 papers), Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (9 papers), DNA and Biological Computing (9 papers), Genomics and Rare Diseases (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Genetics (784 citations), Cancer Research (612 citations), Developmental Neuroscience (100 citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (271 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, Do‐Hyun Nam, Sung‐Young Shin, Woong‐Yang Park, Dongyung Kim, Yong‐Jae Shin, Jiguang Wang, Gaetano Finocchiaro and Erik M. Ladewig. Their work appears in journals such as Natural Product Communications, Evidence-based Complementary and Alternative Medicine, Nature Genetics, Oncotarget and Human Mutation.
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.