Jae-Don Oh
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Livestock and Poultry Management
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
-
- Meat and Animal Product Quality 13
- Animal Nutrition and Physiology 12
- Genetics 43
- Genetic and phenotypic traits in livestock 38
- Genetic Mapping and Diversity in Plants and Animals 22
- Co-authors
- Hong KongKi‐Duk SongHak‐Kyo LeeDonghyun ShinJun Heon LeeSung‐Jin LeeTouseef AmnaDuhak Yoon
- Journals
- Asian-Australasian Journal of Animal Sciences (12 papers)Journal of Animal Science and Technology (6 papers)Animal Cells and Systems (3 papers)PLoS ONE (3 papers)International Journal of Nanomedicine (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jae-Don Oh
54 papers receiving 528 citations
Peers
Comparison fields: 5 of 78
- Animal Science and Zoology 165
- Genetics 328
- Cancer Research 111
- Microbiology 43
- Insect Science 39
Countries citing papers authored by Jae-Don Oh
This map shows the geographic impact of Jae-Don Oh'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 Jae-Don Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Don Oh more than expected).
Fields of papers citing papers by Jae-Don Oh
This network shows the impact of papers produced by Jae-Don Oh. 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 Jae-Don Oh. The network helps show where Jae-Don Oh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Don Oh, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 0 | |
| 10 | 2018 | 2 | |
| 11 | 2015 | 33 | |
| 12 | 2015 | 12 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 0 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 32 | |
| 18 | 돼지의 UCP3 유전자의 단일염기서열 변이와 경제형질과의 연관성 분석 | 2011 | 0 |
| 19 | 2007 | 2 | |
| 20 | 2007 | 7 |
About Jae-Don Oh
Jae-Don Oh is a scholar working on Animal Science and Zoology, Genetics, Cancer Research, Microbiology and Nutrition and Dietetics, having authored 64 papers that have together received 577 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (38 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers), Meat and Animal Product Quality (13 papers), Animal Nutrition and Physiology (12 papers), Cancer-related molecular mechanisms research (11 papers), Agriculture, Soil, Plant Science (5 papers), RNA and protein synthesis mechanisms (4 papers) and Nutrition, Health and Food Behavior (4 papers). The work is most often cited by research in Animal Science and Zoology (165 citations), Genetics (328 citations), Cancer Research (111 citations), Microbiology (43 citations) and Insect Science (39 citations). Jae-Don Oh has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hong Kong, Ki‐Duk Song, Hak‐Kyo Lee, Donghyun Shin, Jun Heon Lee, Sung‐Jin Lee, Touseef Amna, Duhak Yoon, Woncheoul Park and Seoae Cho. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, Journal of Animal Science and Technology, Animal Cells and Systems, PLoS ONE and International Journal of Nanomedicine.
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.