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 2
- Epigenetics and DNA Methylation 2
- Genetics 11
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Heebal Kim (13 shared papers)Seoae Cho (5 shared papers)Minseok Seo (6 shared papers)M. Weber (1 shared paper)Jessica L. Moore (1 shared paper)Song Yang (1 shared paper)Meeta Mistry (1 shared paper)Serine Avagyan (1 shared paper)
- Journals
- PLoS ONE (3 papers)Scientific Reports (3 papers)Asian-Australasian Journal of Animal Sciences (2 papers)npj Parkinson s Disease (1 paper)Mammalian Genome (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Joon Yoon
30 papers receiving 683 citations
Peers
Comparison fields: 5 of 86
- Hematology 87
- Immunology 125
- Physiology 27
- Cancer Research 74
- Rheumatology 68
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 123 | |
| 2 | 2021 | 120 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 48 | |
| 5 | 2016 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 33 | |
| 9 | 2018 | 23 | |
| 10 | 2017 | 20 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 16 | |
| 14 | 2017 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 8 |
About Joon Yoon
Joon Yoon is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 693 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Cancer-related molecular mechanisms research (3 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Marine animal studies overview (2 papers), Gut microbiota and health (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (87 citations), Immunology (125 citations), Physiology (27 citations), Cancer Research (74 citations) and Rheumatology (68 citations). Joon Yoon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Heebal Kim, Seoae Cho, Minseok Seo, M. Weber, Jessica L. Moore, Song Yang, Meeta Mistry, Serine Avagyan, Leonard I. Zon and Jonathan E. Henninger. Their work appears in journals such as PLoS ONE, Scientific Reports, Asian-Australasian Journal of Animal Sciences, npj Parkinson s Disease and Mammalian Genome.
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.