Steven M. Banik
- Organic Chemistry top 1%
- Molecular Biology top 5%
- Pharmaceutical Science top 0.5%
- Oncology top 5%
- Inorganic Chemistry top 5%
- Co-authors
- Eric N. JacobsenCarolyn R. BertozziGreen AhnNicholas M. RileyJonathan William MedleySimon WisnovskyKayvon PedramKatrina M. Mennie
- Topics
- Protein Degradation and Inhibitors (9 papers)Ubiquitin and proteasome pathways (6 papers)Fluorine in Organic Chemistry (5 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Steven M. Banik
22 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Organic Chemistry 1.3k
- Molecular Biology 1.3k
- Pharmaceutical Science 582
- Oncology 471
- Inorganic Chemistry 308
Countries citing papers authored by Steven M. Banik
This map shows the geographic impact of Steven M. Banik'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 Steven M. Banik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Banik more than expected).
Fields of papers citing papers by Steven M. Banik
This network shows the impact of papers produced by Steven M. Banik. 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 Steven M. Banik. The network helps show where Steven M. Banik may publish in the future.
Co-authorship network of co-authors of Steven M. Banik
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Banik. A scholar is included among the top collaborators of Steven M. Banik 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 Steven M. Banik. Steven M. Banik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 21 | |
| 4 | Elucidating the cellular determinants of targeted membrane protein degradation by lysosome-targeting chimerasbreakdown → | 91 |
| 5 | 14 | |
| 6 | 1 | |
| 7 | LYTACs that engage the asialoglycoprotein receptor for targeted protein degradationbreakdown → | 391 |
| 8 | 57 | |
| 9 | 58 | |
| 10 | Lysosome-targeting chimaeras for degradation of extracellular proteinsbreakdown → | 737 |
| 11 | 8 | |
| 12 | 80 | |
| 13 | 129 | |
| 14 | 164 | |
| 15 | 278 | |
| 16 | 218 | |
| 17 | 97 | |
| 18 | 68 | |
| 19 | 27 | |
| 20 | 4 |
About Steven M. Banik
Steven M. Banik is a scholar working on Pharmaceutical Science, Organic Chemistry and Catalysis, having authored 23 papers that have together received 3.0k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (6 papers) and Fluorine in Organic Chemistry (5 papers). The work is most often cited by research in Pharmaceutical Science (582 citations), Organic Chemistry (1.3k citations) and Catalysis (185 citations). Steven M. Banik has collaborated with scholars based in United States and Canada. Frequent co-authors include Eric N. Jacobsen, Carolyn R. Bertozzi, Green Ahn, Nicholas M. Riley, Jonathan William Medley, Simon Wisnovsky, Kayvon Pedram, Katrina M. Mennie, Jennifer R. Cochran and Caitlyn L. Miller. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.