Marc M. Kurtz
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- Neuropeptides and Animal Physiology 17
- Organic Chemistry top 5%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 11
- Plant biochemistry and biosynthesis 9
- Pharmacological Receptor Mechanisms and Effects 7
- Chemical Synthesis and Analysis 5
- Cancer therapeutics and mechanisms 5
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis 5
- Biotechnology top 10%
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- Bioactive Compounds and Antitumor Agents 3
- Co-authors
- Gary G. ChicchiJames D. BergstromVinay S. BansalDeborah J. RewMargaret A. CascieriC. DUFRESNEFrank VanMiddlesworthR. Bostedor
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Marc M. Kurtz
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 303
- Organic Chemistry 389
- Molecular Biology 750
- Pharmacology 152
- Biotechnology 77
Countries citing papers authored by Marc M. Kurtz
This map shows the geographic impact of Marc M. Kurtz'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 Marc M. Kurtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc M. Kurtz more than expected).
Fields of papers citing papers by Marc M. Kurtz
This network shows the impact of papers produced by Marc M. Kurtz. 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 Marc M. Kurtz. The network helps show where Marc M. Kurtz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc M. Kurtz, 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 | 2014 | 9 | |
| 2 | 2010 | 8 | |
| 3 | 2010 | 14 | |
| 4 | Defending Against Insider Use of Digital Steganography | 2007 | 1 |
| 5 | 2007 | 11 | |
| 6 | 2007 | 24 | |
| 7 | 2007 | 16 | |
| 8 | 2006 | 15 | |
| 9 | 2006 | 18 | |
| 10 | 2003 | 35 | |
| 11 | 2002 | 16 | |
| 12 | 2002 | 22 | |
| 13 | 2002 | 137 | |
| 14 | 2001 | 10 | |
| 15 | 2001 | 50 | |
| 16 | 2001 | 61 | |
| 17 | 1998 | 7 | |
| 18 | 1998 | 44 | |
| 19 | 1997 | 56 | |
| 20 | 1994 | 19 |
About Marc M. Kurtz
Marc M. Kurtz is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Molecular Biology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (11 papers), Plant biochemistry and biosynthesis (9 papers), Pharmacological Receptor Mechanisms and Effects (7 papers), Chemical Synthesis and Analysis (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Cancer therapeutics and mechanisms (5 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (303 citations), Organic Chemistry (389 citations) and Molecular Biology (750 citations). Marc M. Kurtz has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Gary G. Chicchi, James D. Bergstrom, Vinay S. Bansal, Deborah J. Rew, Margaret A. Cascieri, C. DUFRESNE, Frank VanMiddlesworth, R. Bostedor, J D Karkas and Otto D. Hensens. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Medicinal 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.