Eunbi Kwon
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Ecology top 10%
- Avian ecology and behavior
- Wildlife Ecology and Conservation
Papers in
- Ecology 14
- Avian ecology and behavior 12
- Rangeland and Wildlife Management 4
- Wildlife Ecology and Conservation 3
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- Animal Behavior and Reproduction 5
- Plant and animal studies 2
- Co-authors
- Brett K. Sandercock (6 shared papers)Jennie Rausch (4 shared papers)Stephen C. Brown (3 shared papers)Joseph R. Liebezeit (3 shared papers)Steve Kendall (3 shared papers)David B. Lank (5 shared papers)Richard B. Lanctot (3 shared papers)Woong Jin Bae (4 shared papers)
- Journals
- The World Journal of Men s Health (2 papers)Journal of Wildlife Management (2 papers)Ecology and Evolution (2 papers)Frontiers in Microbiology (1 paper)Polar Biology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Eunbi Kwon
17 papers receiving 265 citations
Peers
Comparison fields: 5 of 69
- Ecological Modeling 50
- Ecology 155
- Urology 28
- Microbiology 18
- Global and Planetary Change 57
Countries citing papers authored by Eunbi Kwon
This map shows the geographic impact of Eunbi Kwon'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 Eunbi Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunbi Kwon more than expected).
Fields of papers citing papers by Eunbi Kwon
This network shows the impact of papers produced by Eunbi Kwon. 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 Eunbi Kwon. The network helps show where Eunbi Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunbi Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 68 | |
| 2 | 2019 | 50 | |
| 3 | 2019 | 34 | |
| 4 | 2017 | 20 | |
| 5 | 2017 | 18 | |
| 6 | 2018 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | Early and Synergistic Recovery Effect of Herbal Combination on Surgically Corrected Varicocele. | 2020 | 3 |
| 15 | 2023 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 0 |
About Eunbi Kwon
Eunbi Kwon is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Urology and Ecological Modeling, having authored 18 papers that have together received 268 indexed citations. Recurring topics across this work include Avian ecology and behavior (12 papers), Animal Behavior and Reproduction (5 papers), Rangeland and Wildlife Management (4 papers), Climate variability and models (4 papers), Wildlife Ecology and Conservation (3 papers), Species Distribution and Climate Change (2 papers), Plant and animal studies (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Ecological Modeling (50 citations), Ecology (155 citations), Urology (28 citations), Microbiology (18 citations) and Global and Planetary Change (57 citations). Eunbi Kwon has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Brett K. Sandercock, Jennie Rausch, Stephen C. Brown, Joseph R. Liebezeit, Steve Kendall, David B. Lank, Richard B. Lanctot, Woong Jin Bae, Sung‐Hoo Hong and U‐Syn Ha. Their work appears in journals such as The World Journal of Men s Health, Journal of Wildlife Management, Ecology and Evolution, Frontiers in Microbiology and Polar Biology.
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.