Brian C. Raimundo
Impact in
- Organic Chemistry top 10%
- Click Chemistry and Applications
-
- Computational Drug Discovery Methods
Papers in
-
- Cell death mechanisms and regulation 2
- Oncology 5
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Nathan D. Waal (5 shared papers)Michelle R. Arkin (4 shared papers)Johan D. Oslob (4 shared papers)Chul H. Yu (3 shared papers)Jennifer Hyde (3 shared papers)Robert S. McDowell (3 shared papers)Andrew C. Braisted (2 shared papers)Warren L. DeLano (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Medicinal Chemistry (1 paper)Synlett (1 paper)Journal of the American Chemical Society (1 paper)Organic Letters (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Brian C. Raimundo
11 papers receiving 427 citations
Peers
Comparison fields: 5 of 71
- Organic Chemistry 156
- Computational Theory and Mathematics 79
- Molecular Biology 242
- Radiology, Nuclear Medicine and Imaging 63
- Toxicology 7
Countries citing papers authored by Brian C. Raimundo
This map shows the geographic impact of Brian C. Raimundo'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 Brian C. Raimundo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Raimundo more than expected).
Fields of papers citing papers by Brian C. Raimundo
This network shows the impact of papers produced by Brian C. Raimundo. 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 Brian C. Raimundo. The network helps show where Brian C. Raimundo may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian C. Raimundo, 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 | 2003 | 205 | |
| 2 | 2004 | 63 | |
| 3 | 2010 | 58 | |
| 4 | 1995 | 30 | |
| 5 | 2005 | 19 | |
| 6 | 2011 | 18 | |
| 7 | 2005 | 17 | |
| 8 | 2005 | 15 | |
| 9 | 2003 | 5 | |
| 10 | 1999 | 4 | |
| 11 | 1999 | 3 |
About Brian C. Raimundo
Brian C. Raimundo is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Pharmacology, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Asymmetric Synthesis and Catalysis (2 papers), Cell death mechanisms and regulation (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Advanced Synthetic Organic Chemistry (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Organic Chemistry (156 citations), Computational Theory and Mathematics (79 citations), Molecular Biology (242 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Toxicology (7 citations). Brian C. Raimundo has collaborated with scholars based in United States and Germany. Frequent co-authors include Nathan D. Waal, Michelle R. Arkin, Johan D. Oslob, Chul H. Yu, Jennifer Hyde, Robert S. McDowell, Andrew C. Braisted, Warren L. DeLano, Clayton H. Heathcock and John H. Griffin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Synlett, Journal of the American Chemical Society and Organic Letters.
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.