Do‐Hun Lee
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Mesenchymal stem cell research
Papers in
- Ecology 13
- Wildlife Ecology and Conservation 9
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- Species Distribution and Climate Change 11
- Co-authors
- Kyu‐Chang Wang (10 shared papers)Ji Hoon Phi (9 shared papers)Seung‐Ki Kim (9 shared papers)Byung-Kyu Cho (7 shared papers)Sun Hee Hong (7 shared papers)Pradeep Adhikari (7 shared papers)Seung Up Kim (3 shared papers)Chul‐Kee Park (4 shared papers)
- Journals
- Child s Nervous System (3 papers)Animals (2 papers)Scientific Reports (2 papers)Global Ecology and Conservation (2 papers)Ecological Processes (2 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Do‐Hun Lee
51 papers receiving 510 citations
Peers
Comparison fields: 5 of 95
- Ecological Modeling 64
- Genetics 95
- Developmental Neuroscience 30
- Nature and Landscape Conservation 48
- Ecology 75
Countries citing papers authored by Do‐Hun Lee
This map shows the geographic impact of Do‐Hun 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 Do‐Hun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do‐Hun Lee more than expected).
Fields of papers citing papers by Do‐Hun Lee
This network shows the impact of papers produced by Do‐Hun 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 Do‐Hun Lee. The network helps show where Do‐Hun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Do‐Hun 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 95 | |
| 2 | 2008 | 73 | |
| 3 | 2021 | 35 | |
| 4 | 2007 | 28 | |
| 5 | 2006 | 25 | |
| 6 | 2022 | 23 | |
| 7 | 2010 | 23 | |
| 8 | 2021 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2016 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2007 | 10 | |
| 16 | 2007 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2017 | 7 |
About Do‐Hun Lee
Do‐Hun Lee is a scholar working on Ecology, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Nature and Landscape Conservation, having authored 53 papers that have together received 528 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (9 papers), Plant and animal studies (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Ecology and Conservation Studies (4 papers), Zoonotic diseases and public health (3 papers), Advanced Photocatalysis Techniques (2 papers) and Remote Sensing and Land Use (2 papers). The work is most often cited by research in Ecological Modeling (64 citations), Genetics (95 citations), Developmental Neuroscience (30 citations), Nature and Landscape Conservation (48 citations) and Ecology (75 citations). Do‐Hun Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Kyu‐Chang Wang, Ji Hoon Phi, Seung‐Ki Kim, Byung-Kyu Cho, Sun Hee Hong, Pradeep Adhikari, Seung Up Kim, Chul‐Kee Park, Sun Ha Paek and Yun Jin Lee. Their work appears in journals such as Child s Nervous System, Animals, Scientific Reports, Global Ecology and Conservation and Ecological Processes.
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.