David Cesarz
Impact in
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- Peptidase Inhibition and Analysis
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- Protein Kinase Regulation and GTPase Signaling
- Chemical Synthesis and Analysis
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Melanoma and MAPK Pathways 1
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- Synthesis and biological activity 1
- Catalytic Cross-Coupling Reactions 1
- Quinazolinone synthesis and applications 1
- Supramolecular Chemistry and Complexes 1
- Co-authors
- Bancha Vibulbhan (2 shared papers)Arthur G. Taveras (2 shared papers)Ronald J. Doll (2 shared papers)Stacy Remiszewski (2 shared papers)Richard Versace (2 shared papers)Corey L. Strickland (1 shared paper)William T. Windsor (1 shared paper)F. George Njoroge (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Bioorganic & Medicinal Chemistry (1 paper)Organic Process Research & Development (1 paper)Journal of Labelled Compounds and Radiopharmaceuticals (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David Cesarz
5 papers receiving 147 citations
Peers
Comparison fields: 5 of 41
- Oncology 74
- Molecular Biology 119
- Organic Chemistry 49
- Computational Theory and Mathematics 16
- Cellular and Molecular Neuroscience 16
Countries citing papers authored by David Cesarz
This map shows the geographic impact of David Cesarz'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 David Cesarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Cesarz more than expected).
Fields of papers citing papers by David Cesarz
This network shows the impact of papers produced by David Cesarz. 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 David Cesarz. The network helps show where David Cesarz may publish in the future.
Co-authors
The 25 scholars most cited alongside David Cesarz, 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 | 1999 | 63 | |
| 2 | 2001 | 53 | |
| 3 | 1997 | 28 | |
| 4 | 2005 | 9 | |
| 5 | 2004 | 5 |
About David Cesarz
David Cesarz is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Cellular and Molecular Neuroscience and Oncology, having authored 5 papers that have together received 158 indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), Synthesis and biological activity (1 paper), Catalytic Cross-Coupling Reactions (1 paper), Quinazolinone synthesis and applications (1 paper), Computational Drug Discovery Methods (1 paper), Supramolecular Chemistry and Complexes (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (74 citations), Molecular Biology (119 citations), Organic Chemistry (49 citations), Computational Theory and Mathematics (16 citations) and Cellular and Molecular Neuroscience (16 citations). David Cesarz has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Bancha Vibulbhan, Arthur G. Taveras, Ronald J. Doll, Stacy Remiszewski, Richard Versace, Corey L. Strickland, William T. Windsor, F. George Njoroge, Penny E. Phillips and Alan K. Mallams. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Organic Process Research & Development and Journal of Labelled Compounds and Radiopharmaceuticals.
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.