Gap‐Don Kim
Impact in
- Animal Science and Zoology top 0.2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Food Science top 5%
- Proteins in Food Systems
Papers in
-
- Meat and Animal Product Quality 63
-
- Food Drying and Modeling 1
- Proteins in Food Systems 1
- Co-authors
- Jin‐Yeon Jeong (27 shared papers)Seon-Tea Joo (23 shared papers)Sun Jin Hur (14 shared papers)Han‐Sul Yang (23 shared papers)Jungseok Choi (9 shared papers)Young-Hwa Hwang (2 shared papers)Sang-Keun Jin (13 shared papers)Sumin Song (15 shared papers)
- Journals
- Food Science of Animal Resources (10 papers)Meat Science (8 papers)LWT (6 papers)Journal of Animal Science and Technology (5 papers)Journal of Animal Science (3 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Gap‐Don Kim
66 papers receiving 1.7k citations
Gap‐Don Kim's Hit Papers
Peers
Comparison fields: 5 of 85
- Animal Science and Zoology 1.2k
- Food Science 138
- Ecology 134
- Genetics 169
- Molecular Biology 313
Countries citing papers authored by Gap‐Don Kim
This map shows the geographic impact of Gap‐Don 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 Gap‐Don Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gap‐Don Kim more than expected).
Fields of papers citing papers by Gap‐Don Kim
This network shows the impact of papers produced by Gap‐Don 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 Gap‐Don Kim. The network helps show where Gap‐Don Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Gap‐Don 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 231 | |
| 2 | Review of the Current Research on Fetal Bovine Serum and the Development of Cultured Meat Hit paper breakdown → | 2022 | 166 |
| 3 | 2013 | 123 | |
| 4 | 2010 | 85 | |
| 5 | 2020 | 80 | |
| 6 | 2022 | 78 | |
| 7 | 2022 | 66 | |
| 8 | 2013 | 48 | |
| 9 | 2016 | 48 | |
| 10 | 2011 | 44 | |
| 11 | 2014 | 43 | |
| 12 | 2016 | 41 | |
| 13 | 2023 | 41 | |
| 14 | 2019 | 39 | |
| 15 | 2015 | 36 | |
| 16 | 2020 | 35 | |
| 17 | 2017 | 32 | |
| 18 | 2021 | 28 | |
| 19 | 2018 | 26 | |
| 20 | 2011 | 24 |
About Gap‐Don Kim
Gap‐Don Kim is a scholar working on Animal Science and Zoology, Food Science, Molecular Biology, Ecology and Small Animals, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (63 papers), Agriculture Sustainability and Environmental Impact (2 papers), Identification and Quantification in Food (2 papers), Food Drying and Modeling (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Proteins in Food Systems (1 paper), Animal Genetics and Reproduction (1 paper) and Protein Hydrolysis and Bioactive Peptides (1 paper). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Food Science (138 citations), Ecology (134 citations), Genetics (169 citations) and Molecular Biology (313 citations). Gap‐Don Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jin‐Yeon Jeong, Seon-Tea Joo, Sun Jin Hur, Han‐Sul Yang, Jungseok Choi, Young-Hwa Hwang, Sang-Keun Jin, Sumin Song, Eun‐Young Jung and Seung Yun Lee. Their work appears in journals such as Food Science of Animal Resources, Meat Science, LWT, Journal of Animal Science and Technology and Journal of Animal Science.
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.