Hyunbum Jang
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling 68
- Protein Structure and Dynamics 28
- PI3K/AKT/mTOR signaling in cancer 27
- Melanoma and MAPK Pathways 22
- Lipid Membrane Structure and Behavior 21
- Physiology top 1%
- Alzheimer's disease research and treatments 27
- Microbiology top 1%
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 18
- Biomaterials top 1%
- Supramolecular Self-Assembly in Materials 21
- Co-authors
- Ruth NussinovChung‐Jung TsaiMingzhen ZhangRatnesh LalFernando Terán ArceSrinivasan RamachandranJian ZhangShaoyong Lu
- Journals
- Biophysical Journal (25 papers)The Journal of Physical Chemistry B (14 papers)Journal of Molecular Biology (10 papers)
- Partner nations
- United StatesIsraelTürkiye
In The Last Decade
Hyunbum Jang
188 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 6.0k
- Physiology 1.8k
- Microbiology 400
- Computational Theory and Mathematics 915
- Biomaterials 756
Countries citing papers authored by Hyunbum Jang
This map shows the geographic impact of Hyunbum Jang'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 Hyunbum Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunbum Jang more than expected).
Fields of papers citing papers by Hyunbum Jang
This network shows the impact of papers produced by Hyunbum Jang. 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 Hyunbum Jang. The network helps show where Hyunbum Jang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyunbum Jang, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | Molecular principles underlying aggressive cancersbreakdown → | 2025 | 17 |
| 6 | 2024 | 5 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 31 | |
| 13 | 2022 | 35 | |
| 14 | 2022 | 48 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 16 | |
| 19 | 2017 | 63 | |
| 20 | Activity and Architecture of Pyroglutamate-Modified Amyloid-β (AβpE3-42) Pores | 2014 | 2 |
About Hyunbum Jang
Hyunbum Jang is a scholar working on Molecular Biology, Cell Biology and Biomaterials, having authored 192 papers that have together received 7.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (68 papers), Protein Structure and Dynamics (28 papers), PI3K/AKT/mTOR signaling in cancer (27 papers), Alzheimer's disease research and treatments (27 papers), Melanoma and MAPK Pathways (22 papers), Lipid Membrane Structure and Behavior (21 papers), Supramolecular Self-Assembly in Materials (21 papers) and Computational Drug Discovery Methods (18 papers). The work is most often cited by research in Molecular Biology (6.0k citations), Physiology (1.8k citations) and Microbiology (400 citations). Hyunbum Jang has collaborated with scholars based in United States, Israel and Türkiye. Frequent co-authors include Ruth Nussinov, Chung‐Jung Tsai, Mingzhen Zhang, Ratnesh Lal, Fernando Terán Arce, Srinivasan Ramachandran, Jian Zhang, Shaoyong Lu, Jie Zheng and Ricardo Capone. Their work appears in journals such as Biophysical Journal, The Journal of Physical Chemistry B, Journal of Molecular Biology, Current Opinion in Structural Biology and Biochemistry.
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.