Chang No Yoon
- Molecular Biology top 5%
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 2%
- Materials Chemistry
- Organic Chemistry top 10%
- Co-authors
- Seung Kee HanBeom Jun KimPetter HolmeDavid S. GoodsellRichard E. DickersonMary L. KopkaPhilip PjuraHarold A. Scheraga
- Topics
- Computational Drug Discovery Methods (8 papers)Chemical Synthesis and Analysis (6 papers)Synthesis and biological activity (4 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Chang No Yoon
56 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 1.8k
- Statistical and Nonlinear Physics 1.1k
- Computer Networks and Communications 478
- Materials Chemistry 331
- Organic Chemistry 270
Countries citing papers authored by Chang No Yoon
This map shows the geographic impact of Chang No 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 Chang No Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang No Yoon more than expected).
Fields of papers citing papers by Chang No Yoon
This network shows the impact of papers produced by Chang No 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 Chang No Yoon. The network helps show where Chang No Yoon may publish in the future.
Co-authorship network of co-authors of Chang No Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Chang No Yoon. A scholar is included among the top collaborators of Chang No Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang No Yoon. Chang No Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 209 | |
| 9 | 1 | |
| 10 | 50 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 126 | |
| 16 | 3D-QSAR of Angiotensin-Converting Enzyme Inhibitors: Functional Group Interaction Energy Descriptors for Quantitative Structure-Activity Relationships Study of ACE Inhibitors | 3 |
| 17 | 62 | |
| 18 | 47 | |
| 19 | 12 | |
| 20 | Flavor Components of Artemisia Lavandulaefolia DC | 4 |
About Chang No Yoon
Chang No Yoon is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Cell Biology, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Chemical Synthesis and Analysis (6 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Molecular Biology (1.8k citations) and Computer Networks and Communications (478 citations). Chang No Yoon has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Seung Kee Han, Beom Jun Kim, Petter Holme, David S. Goodsell, Richard E. Dickerson, Mary L. Kopka, Philip Pjura, Harold A. Scheraga, Kenneth D. Gibson and Germana Paterlini. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.