Danil Kim
Impact in
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
-
- Reproductive Physiology in Livestock 12
- Ruminant Nutrition and Digestive Physiology 3
- Animal Disease Management and Epidemiology 3
- Co-authors
- Norio YAMAGISHI (11 shared papers)Kazuhisa Furuhama (10 shared papers)Bhuminand Devkota (8 shared papers)Shigeru Sato (6 shared papers)Pathikrit Saha (1 shared paper)Mamata Singhvi (1 shared paper)Rajiv Chandra Rajak (1 shared paper)Aarti R. Deshmukh (1 shared paper)
- Journals
- Research in Veterinary Science (4 papers)Journal of Veterinary Science (3 papers)Vaccines (2 papers)Animals (1 paper)Gut Pathogens (1 paper)
- Partner nations
- South KoreaJapanNepal
In The Last Decade
Danil Kim
34 papers receiving 314 citations
Peers
Comparison fields: 5 of 74
- Agronomy and Crop Science 117
- Endocrinology 34
- Small Animals 32
- Equine 5
- Animal Science and Zoology 27
Countries citing papers authored by Danil Kim
This map shows the geographic impact of Danil 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 Danil Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danil Kim more than expected).
Fields of papers citing papers by Danil Kim
This network shows the impact of papers produced by Danil 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 Danil Kim. The network helps show where Danil Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Danil 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2018 | 40 | |
| 3 | 2017 | 32 | |
| 4 | 2009 | 20 | |
| 5 | 2012 | 16 | |
| 6 | 2010 | 16 | |
| 7 | 2010 | 14 | |
| 8 | 2009 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2012 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2017 | 5 |
About Danil Kim
Danil Kim is a scholar working on Agronomy and Crop Science, Molecular Biology, Infectious Diseases, Endocrinology, Diabetes and Metabolism and Genetics, having authored 37 papers that have together received 317 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (12 papers), Genetic and phenotypic traits in livestock (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Alkaline Phosphatase Research Studies (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Animal Disease Management and Epidemiology (3 papers), Effects of Environmental Stressors on Livestock (3 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Agronomy and Crop Science (117 citations), Endocrinology (34 citations), Small Animals (32 citations), Equine (5 citations) and Animal Science and Zoology (27 citations). Danil Kim has collaborated with scholars based in South Korea, Japan and Nepal. Frequent co-authors include Norio YAMAGISHI, Kazuhisa Furuhama, Bhuminand Devkota, Shigeru Sato, Pathikrit Saha, Mamata Singhvi, Rajiv Chandra Rajak, Aarti R. Deshmukh, Beom Soo Kim and Young Moo Lee. Their work appears in journals such as Research in Veterinary Science, Journal of Veterinary Science, Vaccines, Animals and Gut Pathogens.
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.