Hojong Yoon
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Protein Degradation and Inhibitors 8
- Ubiquitin and proteasome pathways 8
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Eric S. Fischer (8 shared papers)Radosław P. Nowak (5 shared papers)Nathanael S. Gray (5 shared papers)Yuan Xiong (2 shared papers)Sarah E. Dixon-Clarke (1 shared paper)Tao Wu (1 shared paper)Tinghu Zhang (3 shared papers)Katherine A. Donovan (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (1 paper)iScience (1 paper)ACS Chemical Neuroscience (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Hojong Yoon
19 papers receiving 553 citations
Peers
Comparison fields: 5 of 66
- Hematology 79
- Molecular Biology 466
- Oncology 178
- Organic Chemistry 87
- 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 | 153 | |
| 2 | 2020 | 130 | |
| 3 | 2022 | 51 | |
| 4 | 2020 | 29 | |
| 5 | 2015 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2024 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 18 | |
| 10 | 2016 | 14 | |
| 11 | 2014 | 14 | |
| 12 | 2025 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2018 | 2 |
About Hojong Yoon
Hojong Yoon is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pharmacology and Infectious Diseases, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (8 papers), Peptidase Inhibition and Analysis (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Synthetic Organic Chemistry Methods (2 papers), Cancer-related Molecular Pathways (2 papers), Synthesis and Catalytic Reactions (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (79 citations), Molecular Biology (466 citations), Oncology (178 citations), Organic Chemistry (87 citations) and Genetics (25 citations). Hojong Yoon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Eric S. Fischer, Radosław P. Nowak, Nathanael S. Gray, Yuan Xiong, Sarah E. Dixon-Clarke, Tao Wu, Tinghu Zhang, Katherine A. Donovan, Taebo Sim and Nicholas A. Eleuteri. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, iScience, ACS Chemical Neuroscience and ACS Medicinal Chemistry Letters.
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.