Joon Yoon
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Gut microbiota and health 3
- Bioinformatics and Genomic Networks 3
- Genetics 13
- Genetic and phenotypic traits in livestock 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Co-authors
- Heebal Kim (13 shared papers)Seoae Cho (5 shared papers)Minseok Seo (6 shared papers)Song Yang (1 shared paper)Jessica L. Moore (1 shared paper)Jonathan E. Henninger (1 shared paper)Serine Avagyan (1 shared paper)Leonard I. Zon (1 shared paper)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Spine (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Joon Yoon
29 papers receiving 645 citations
Peers
Comparison fields: 5 of 91
- Hematology 88
- Immunology 138
- Physiology 28
- Cancer Research 83
- Genetics 146
Countries citing papers authored by Joon Yoon
This map shows the geographic impact of Joon Yoon'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 Joon Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Yoon more than expected).
Fields of papers citing papers by Joon Yoon
This network shows the impact of papers produced by Joon Yoon. 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 Joon Yoon. The network helps show where Joon Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon Yoon, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 2021 | 112 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 48 | |
| 5 | 2016 | 39 | |
| 6 | 2017 | 34 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 22 | |
| 10 | 2017 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 8 |
About Joon Yoon
Joon Yoon is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Surgery and Physiology, having authored 29 papers that have together received 652 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Diet and metabolism studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Gut microbiota and health (3 papers), Bioinformatics and Genomic Networks (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Hematology (88 citations), Immunology (138 citations), Physiology (28 citations), Cancer Research (83 citations) and Genetics (146 citations). Joon Yoon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Heebal Kim, Seoae Cho, Minseok Seo, Song Yang, Jessica L. Moore, Jonathan E. Henninger, Serine Avagyan, Leonard I. Zon, M. Weber and Meeta Mistry. Their work appears in journals such as Scientific Reports, PLoS ONE, Asian-Australasian Journal of Animal Sciences, Spine and BMC Systems Biology.
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.