Hang Lee
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Mi‐Sook Min (58 shared papers)Mu‐Yeong Lee (17 shared papers)Junghwa An (15 shared papers)Joon‐Seok Chae (6 shared papers)Mun-Han Lee (6 shared papers)Jun‐Gu Kang (5 shared papers)Inna Voloshina (12 shared papers)Kyung Seok Kim (14 shared papers)
- Journals
- Animal Cells and Systems (9 papers)PLoS ONE (7 papers)Molecules and Cells (6 papers)Journal of Veterinary Science (4 papers)Genes & Genetic Systems (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Hang Lee
130 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Parasitology 268
- Ecological Modeling 148
- Ecology 631
- Genetics 641
- Equine 30
Countries citing papers authored by Hang Lee
This map shows the geographic impact of Hang 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 Hang Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Lee more than expected).
Fields of papers citing papers by Hang Lee
This network shows the impact of papers produced by Hang 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 Hang Lee. The network helps show where Hang Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2007 | 89 | |
| 3 | 2012 | 66 | |
| 4 | 2011 | 64 | |
| 5 | 2011 | 54 | |
| 6 | 2011 | 54 | |
| 7 | 2006 | 48 | |
| 8 | 2016 | 48 | |
| 9 | 2006 | 44 | |
| 10 | 2010 | 40 | |
| 11 | 2008 | 37 | |
| 12 | 1998 | 37 | |
| 13 | 2014 | 37 | |
| 14 | 2009 | 34 | |
| 15 | 2008 | 34 | |
| 16 | 2010 | 33 | |
| 17 | 2011 | 31 | |
| 18 | 2009 | 29 | |
| 19 | 2018 | 26 | |
| 20 | 2010 | 26 |
About Hang Lee
Hang Lee is a scholar working on Genetics, Ecology, Molecular Biology, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 137 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (53 papers), Wildlife Ecology and Conservation (46 papers), Genetic and phenotypic traits in livestock (29 papers), Identification and Quantification in Food (19 papers), Amphibian and Reptile Biology (17 papers), Genomics and Phylogenetic Studies (13 papers), Viral Infections and Vectors (9 papers) and Animal Behavior and Reproduction (8 papers). The work is most often cited by research in Parasitology (268 citations), Ecological Modeling (148 citations), Ecology (631 citations), Genetics (641 citations) and Equine (30 citations). Hang Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Mi‐Sook Min, Mu‐Yeong Lee, Junghwa An, Joon‐Seok Chae, Mun-Han Lee, Jun‐Gu Kang, Inna Voloshina, Kyung Seok Kim, Jusun Hwang and Junpei Kimura. Their work appears in journals such as Animal Cells and Systems, PLoS ONE, Molecules and Cells, Journal of Veterinary Science and Genes & Genetic Systems.
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.