Hojong Yoon
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 8
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 4
- Cancer-related Molecular Pathways 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Eric S. Fischer (8 shared papers)Radosław P. Nowak (5 shared papers)Nathanael S. Gray (5 shared papers)Tinghu Zhang (3 shared papers)Yuan Xiong (2 shared papers)Tao Wu (1 shared paper)Sarah E. Dixon-Clarke (1 shared paper)Katherine A. Donovan (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Nature Chemical Biology (1 paper)Blood (1 paper)European Journal of Medicinal Chemistry (1 paper)iScience (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Hojong Yoon
17 papers receiving 584 citations
Peers
Comparison fields: 5 of 65
- Hematology 78
- Oncology 175
- Molecular Biology 471
- Organic Chemistry 95
- Genetics 25
Countries citing papers authored by Hojong Yoon
This map shows the geographic impact of Hojong 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 Hojong Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hojong Yoon more than expected).
Fields of papers citing papers by Hojong Yoon
This network shows the impact of papers produced by Hojong 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 Hojong Yoon. The network helps show where Hojong Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Hojong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2020 | 134 | |
| 3 | 2022 | 62 | |
| 4 | 2020 | 36 | |
| 5 | 2024 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2015 | 28 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 17 | |
| 11 | 2016 | 14 | |
| 12 | 2025 | 13 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 5 | |
| 16 | 2013 | 3 | |
| 17 | 2018 | 2 |
About Hojong Yoon
Hojong Yoon is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Infectious Diseases, having authored 17 papers that have together received 595 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (8 papers), Cancer-related Molecular Pathways (2 papers), Synthesis and Catalytic Reactions (2 papers), Asymmetric Synthesis and Catalysis (2 papers), Peptidase Inhibition and Analysis (2 papers), Synthetic Organic Chemistry Methods (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (78 citations), Oncology (175 citations), Molecular Biology (471 citations), Organic Chemistry (95 citations) and Genetics (25 citations). Hojong Yoon has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Eric S. Fischer, Radosław P. Nowak, Nathanael S. Gray, Tinghu Zhang, Yuan Xiong, Tao Wu, Sarah E. Dixon-Clarke, Katherine A. Donovan, Nicholas A. Eleuteri and Zhengnian Li. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Chemical Biology, Blood, European Journal of Medicinal Chemistry and iScience.
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.