Jun‐Mo Kim
Impact in
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Endocrinology top 5%
Papers in
-
- Meat and Animal Product Quality 21
- Animal Nutrition and Physiology 20
- Animal Virus Infections Studies 10
- Co-authors
- Richard R. Parizek (3 shared papers)Rajesh Kumar Pathak (17 shared papers)Byeonghwi Lim (29 shared papers)Do‐Young Kim (13 shared papers)Youn‐Chul Ryu (7 shared papers)Jong‐Eun Park (16 shared papers)Dajeong Lim (15 shared papers)Kyung‐Tai Lee (18 shared papers)
- Journals
- Animals (7 papers)Journal of Animal Science and Technology (7 papers)Meat Science (5 papers)Scientific Reports (4 papers)Animal Genetics (4 papers)
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Jun‐Mo Kim
148 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 162
- Animal Science and Zoology 343
- Endocrinology 80
- Molecular Medicine 61
- Cancer Research 159
- Environmental Engineering 169
Countries citing papers authored by Jun‐Mo Kim
This map shows the geographic impact of Jun‐Mo 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 Jun‐Mo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Mo Kim more than expected).
Fields of papers citing papers by Jun‐Mo Kim
This network shows the impact of papers produced by Jun‐Mo 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 Jun‐Mo Kim. The network helps show where Jun‐Mo Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Mo 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 1997 | 85 | |
| 3 | 1997 | 48 | |
| 4 | 2007 | 41 | |
| 5 | 2019 | 38 | |
| 6 | 2018 | 34 | |
| 7 | 1999 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2012 | 29 | |
| 12 | 2019 | 29 | |
| 13 | 2021 | 28 | |
| 14 | 2011 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2005 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2020 | 25 |
About Jun‐Mo Kim
Jun‐Mo Kim is a scholar working on Animal Science and Zoology, Molecular Biology, Genetics, Environmental Engineering and Cancer Research, having authored 159 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (24 papers), Meat and Animal Product Quality (21 papers), Animal Nutrition and Physiology (20 papers), Cancer-related molecular mechanisms research (15 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Animal Virus Infections Studies (10 papers), Groundwater flow and contamination studies (9 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). The work is most often cited by research in Animal Science and Zoology (343 citations), Endocrinology (80 citations), Molecular Medicine (61 citations), Cancer Research (159 citations) and Environmental Engineering (169 citations). Jun‐Mo Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Richard R. Parizek, Rajesh Kumar Pathak, Byeonghwi Lim, Do‐Young Kim, Youn‐Chul Ryu, Jong‐Eun Park, Dajeong Lim, Kyung‐Tai Lee, Seung-Hoon Lee and Dong Yong Kil. Their work appears in journals such as Animals, Journal of Animal Science and Technology, Meat Science, Scientific Reports and Animal Genetics.
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.