Donghoon Yoon
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- High Altitude and Hypoxia
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 18
- Multiple Myeloma Research and Treatments 8
- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- Josef T. Prchal (24 shared papers)Hana Bruchova (3 shared papers)Joshua T. Mendell (1 shared paper)Archana Agarwal (1 shared paper)Vladimír Divoký (2 shared papers)Gregg L. Semenza (2 shared papers)Yves Pastore (1 shared paper)Armin Schumacher (1 shared paper)
- Journals
- Blood (17 papers)Journal of Molecular Medicine (5 papers)Experimental Hematology (3 papers)Blood Cells Molecules and Diseases (2 papers)Cancers (2 papers)
- Partner nations
- United StatesCzechiaSouth Korea
In The Last Decade
Donghoon Yoon
50 papers receiving 929 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 352
- Genetics 196
- Hematology 207
- Molecular Biology 391
- Physiology 109
Countries citing papers authored by Donghoon Yoon
This map shows the geographic impact of Donghoon 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 Donghoon Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghoon Yoon more than expected).
Fields of papers citing papers by Donghoon Yoon
This network shows the impact of papers produced by Donghoon 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 Donghoon Yoon. The network helps show where Donghoon Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghoon 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 190 | |
| 2 | 2007 | 164 | |
| 3 | 2018 | 67 | |
| 4 | 2011 | 52 | |
| 5 | 2010 | 40 | |
| 6 | 2012 | 38 | |
| 7 | 2018 | 36 | |
| 8 | 2010 | 32 | |
| 9 | 2015 | 31 | |
| 10 | 2013 | 30 | |
| 11 | 2009 | 29 | |
| 12 | 2007 | 21 | |
| 13 | 2011 | 21 | |
| 14 | 2009 | 19 | |
| 15 | 2007 | 17 | |
| 16 | 2010 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 1992 | 12 | |
| 19 | 2003 | 10 | |
| 20 | 2021 | 10 |
About Donghoon Yoon
Donghoon Yoon is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Oncology, having authored 52 papers that have together received 947 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Multiple Myeloma Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Bone health and treatments (5 papers), Peptidase Inhibition and Analysis (4 papers) and High Altitude and Hypoxia (3 papers). The work is most often cited by research in Cancer Research (352 citations), Genetics (196 citations), Hematology (207 citations), Molecular Biology (391 citations) and Physiology (109 citations). Donghoon Yoon has collaborated with scholars based in United States, Czechia and South Korea. Frequent co-authors include Josef T. Prchal, Hana Bruchova, Joshua T. Mendell, Archana Agarwal, Vladimír Divoký, Gregg L. Semenza, Yves Pastore, Armin Schumacher, Přemysl Poňka and Enli Liu. Their work appears in journals such as Blood, Journal of Molecular Medicine, Experimental Hematology, Blood Cells Molecules and Diseases and Cancers.
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.