Sang Min Lim
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Oncology top 10%
- Cell Biology top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Nathanael S. GrayKenneth D. WestoverTing XieScott B. FicarroJarrod A. MartoHwan Geun ChoiJohn C. HunterTaebo Sim
- Topics
- Alzheimer's disease research and treatments (7 papers)Synthetic Organic Chemistry Methods (7 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- South KoreaUnited StatesBangladesh
In The Last Decade
Sang Min Lim
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 948
- Organic Chemistry 385
- Oncology 281
- Cell Biology 141
- Computational Theory and Mathematics 90
Countries citing papers authored by Sang Min Lim
This map shows the geographic impact of Sang Min Lim'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 Sang Min Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Min Lim more than expected).
Fields of papers citing papers by Sang Min Lim
This network shows the impact of papers produced by Sang Min Lim. 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 Sang Min Lim. The network helps show where Sang Min Lim may publish in the future.
Co-authorship network of co-authors of Sang Min Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Sang Min Lim. A scholar is included among the top collaborators of Sang Min Lim 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 Sang Min Lim. Sang Min Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | 88 | |
| 5 | 42 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 52 | |
| 15 | 162 | |
| 16 | 21 | |
| 17 | 17 | |
| 18 | 9 | |
| 19 | 2 | |
| 20 | 53 |
About Sang Min Lim
Sang Min Lim is a scholar working on Organic Chemistry, Pharmacology and Biological Psychiatry, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Synthetic Organic Chemistry Methods (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Molecular Biology (948 citations), Organic Chemistry (385 citations) and Oncology (281 citations). Sang Min Lim has collaborated with scholars based in South Korea, United States and Bangladesh. Frequent co-authors include Nathanael S. Gray, Kenneth D. Westover, Ting Xie, Scott B. Ficarro, Jarrod A. Marto, Hwan Geun Choi, John C. Hunter, Taebo Sim, Martin A. Carrasco and Pasi A. Jänne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.