Daemin Kim
Impact in
-
- Fish Ecology and Management Studies
- Ichthyology and Marine Biology
- Fish biology, ecology, and behavior
- Aquatic Science top 5%
- Fish Biology and Ecology Studies
Papers in
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- Fish Ecology and Management Studies 10
- Fish biology, ecology, and behavior 7
- Ichthyology and Marine Biology 5
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- Fish Biology and Ecology Studies 13
- Co-authors
- Thomas J. Near (12 shared papers)Kevin W. Conway (4 shared papers)Andrew Taylor (1 shared paper)Yong‐Jin Won (4 shared papers)Yoon-Suk Oh (3 shared papers)Lukas Rüber (2 shared papers)Philip A. Hastings (2 shared papers)Hyung‐Tae Kim (2 shared papers)
- Journals
- Evolution (4 papers)Biology Letters (2 papers)Molecular Phylogenetics and Evolution (2 papers)Conservation Genetics (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesSouth KoreaSwitzerland
In The Last Decade
Daemin Kim
20 papers receiving 314 citations
Peers
Comparison fields: 5 of 51
- Nature and Landscape Conservation 182
- Aquatic Science 95
- Ceramics and Composites 23
- Ecological Modeling 16
- Genetics 93
Countries citing papers authored by Daemin Kim
This map shows the geographic impact of Daemin Kim'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 Daemin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daemin Kim more than expected).
Fields of papers citing papers by Daemin Kim
This network shows the impact of papers produced by Daemin Kim. 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 Daemin Kim. The network helps show where Daemin Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daemin Kim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2023 | 30 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 26 | |
| 5 | 2017 | 22 | |
| 6 | 2009 | 21 | |
| 7 | 2024 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2014 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2008 | 10 | |
| 15 | 2008 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 2 |
About Daemin Kim
Daemin Kim is a scholar working on Nature and Landscape Conservation, Aquatic Science, Genetics, Molecular Biology and Ecology, having authored 23 papers that have together received 333 indexed citations. Recurring topics across this work include Fish Biology and Ecology Studies (13 papers), Fish Ecology and Management Studies (10 papers), Genetic diversity and population structure (9 papers), Fish biology, ecology, and behavior (7 papers), Ichthyology and Marine Biology (5 papers), Identification and Quantification in Food (4 papers), Metal and Thin Film Mechanics (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Nature and Landscape Conservation (182 citations), Aquatic Science (95 citations), Ceramics and Composites (23 citations), Ecological Modeling (16 citations) and Genetics (93 citations). Daemin Kim has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Thomas J. Near, Kevin W. Conway, Andrew Taylor, Yong‐Jin Won, Yoon-Suk Oh, Lukas Rüber, Philip A. Hastings, Hyung‐Tae Kim, Solomon R. David and Chase Doran Brownstein. Their work appears in journals such as Evolution, Biology Letters, Molecular Phylogenetics and Evolution, Conservation Genetics and Current 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.