Green Ahn
Impact in
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Protein Degradation and Inhibitors 5
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 1
-
- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Carolyn Ruth Bertozzi (6 shared papers)Steven M. Banik (4 shared papers)Nicholas McIlvain Riley (3 shared papers)Simon Wisnovsky (2 shared papers)Kayvon Pedram (1 shared paper)Caitlyn L. Miller (2 shared papers)Jennifer R. Cochran (1 shared paper)Heinz Philipp Laubli (1 shared paper)
- Journals
- Nature (5 papers)Nature Chemical Biology (2 papers)Science (2 papers)Nature Communications (1 paper)Cell chemical biology (1 paper)
- Partner nations
- United StatesDenmarkTaiwan
In The Last Decade
Green Ahn
15 papers receiving 2.1k citations
Green Ahn's Hit Papers
Peers
Comparison fields: 5 of 53
- Molecular Biology 1.2k
- Biomaterials 51
- Oncology 89
- Pharmaceutical Science 16
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Green Ahn
This map shows the geographic impact of Green Ahn'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 Green Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Green Ahn more than expected).
Fields of papers citing papers by Green Ahn
This network shows the impact of papers produced by Green Ahn. 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 Green Ahn. The network helps show where Green Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Green Ahn, 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 | Lysosome-targeting chimaeras for degradation of extracellular proteins Hit paper breakdown → | 2020 | 897 |
| 2 | LYTACs that engage the asialoglycoprotein receptor for targeted protein degradation Hit paper breakdown → | 2021 | 480 |
| 3 | 2020 | 279 | |
| 4 | 2023 | 129 | |
| 5 | 2024 | 90 | |
| 6 | 2021 | 71 | |
| 7 | 2021 | 42 | |
| 8 | 2024 | 41 | |
| 9 | 2024 | 35 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 2025 | 20 | |
| 13 | 2020 | 17 | |
| 14 | 2026 | 4 | |
| 15 | 2026 | 1 |
About Green Ahn
Green Ahn is a scholar working on Molecular Biology, Pharmacology, Pharmaceutical Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Chemical Reactions and Isotopes (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Biomaterials (51 citations), Oncology (89 citations), Pharmaceutical Science (16 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Green Ahn has collaborated with scholars based in United States, Denmark and Taiwan. Frequent co-authors include Carolyn Ruth Bertozzi, Steven M. Banik, Nicholas McIlvain Riley, Simon Wisnovsky, Kayvon Pedram, Caitlyn L. Miller, Jennifer R. Cochran, Heinz Philipp Laubli, Stacy Alyse Malaker and Elliot C. Woods. Their work appears in journals such as Nature, Nature Chemical Biology, Science, Nature Communications and Cell chemical biology.
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.