Dong‐Hwan Kim
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology 12
- Genetics top 10%
- Animal Genetics and Reproduction 16
- Anesthesiology and Pain Medicine top 10%
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- Muscle Physiology and Disorders 13
- CRISPR and Genetic Engineering 9
- Retinoids in leukemia and cellular processes 8
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- Adipose Tissue and Metabolism 10
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- Food Quality and Safety Studies 10
- Fermentation and Sensory Analysis 5
- Co-authors
- Kichoon LeeJoonbum LeeHeui-Dong ParkYeunsu SuhSeongsoo HwangJeong-Woong LeeSangsu ShinMichael D. Cressman
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (2 papers)Oncogene (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Dong‐Hwan Kim
85 papers receiving 689 citations
Peers
Comparison fields: 5 of 111
- Animal Science and Zoology 104
- Genetics 183
- Anesthesiology and Pain Medicine 30
- Biochemistry 32
- Aging 9
Countries citing papers authored by Dong‐Hwan Kim
This map shows the geographic impact of Dong‐Hwan 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 Dong‐Hwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Hwan Kim more than expected).
Fields of papers citing papers by Dong‐Hwan Kim
This network shows the impact of papers produced by Dong‐Hwan 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 Dong‐Hwan Kim. The network helps show where Dong‐Hwan Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong‐Hwan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 15 | |
| 14 | 2016 | 37 | |
| 15 | 2016 | 0 | |
| 16 | 2015 | 1 | |
| 17 | 2012 | 2 | |
| 18 | Isolation and Characterization of Tartaric Acid-Degrading Bacteria from Korean Grape Wine Pomace | 2008 | 1 |
| 19 | Comparative Toxicity of some Pesticides to the Predatory Mites, Neoseiuius fallacis Carman (Acari: Phytoseiidae) | 2006 | 0 |
| 20 | Mutagenicity Study of Recombinant Human Erythropoietin(rhEPO) | 1998 | 1 |
About Dong‐Hwan Kim
Dong‐Hwan Kim is a scholar working on Animal Science and Zoology, Biochemistry and Genetics, having authored 96 papers that have together received 713 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (16 papers), Muscle Physiology and Disorders (13 papers), Animal Nutrition and Physiology (12 papers), Adipose Tissue and Metabolism (10 papers), Food Quality and Safety Studies (10 papers), CRISPR and Genetic Engineering (9 papers), Retinoids in leukemia and cellular processes (8 papers) and Fermentation and Sensory Analysis (5 papers). The work is most often cited by research in Animal Science and Zoology (104 citations), Genetics (183 citations) and Anesthesiology and Pain Medicine (30 citations). Dong‐Hwan Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Kichoon Lee, Joonbum Lee, Heui-Dong Park, Yeunsu Suh, Seongsoo Hwang, Jeong-Woong Lee, Sangsu Shin, Michael D. Cressman, JinHyo Joseph Yun and Young Min Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Oncogene.
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.