David Marcus
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
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- Computational Drug Discovery Methods
Papers in
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- Receptor Mechanisms and Signaling 3
-
- Computational Drug Discovery Methods 8
- Co-authors
- Amiram Goldblum (4 shared papers)Yechezkel Barenholz (2 shared papers)Daniel Zucker (1 shared paper)Robert C. Glen (3 shared papers)Andreas Bender (2 shared papers)Anwar Rayan (2 shared papers)Alexander Tropsha (1 shared paper)David R. Spring (1 shared paper)
- Journals
- Probability Theory and Related Fields (2 papers)Journal of Cheminformatics (2 papers)Journal of Controlled Release (2 papers)Journal of Chemical Information and Modeling (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
David Marcus
20 papers receiving 673 citations
Peers
Comparison fields: 5 of 119
- Biomaterials 205
- Computational Theory and Mathematics 176
- Pharmaceutical Science 66
- Aging 18
- Molecular Biology 371
Countries citing papers authored by David Marcus
This map shows the geographic impact of David Marcus'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 Marcus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Marcus more than expected).
Fields of papers citing papers by David Marcus
This network shows the impact of papers produced by David Marcus. 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 Marcus. The network helps show where David Marcus may publish in the future.
Co-authors
The 25 scholars most cited alongside David Marcus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 289 | |
| 2 | 2013 | 65 | |
| 3 | 2017 | 59 | |
| 4 | 2015 | 46 | |
| 5 | 2019 | 39 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2010 | 26 | |
| 10 | 2019 | 21 | |
| 11 | 1983 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2001 | 8 | |
| 15 | 1985 | 5 | |
| 16 | 1985 | 5 | |
| 17 | 2015 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 1996 | 2 | |
| 20 | 2025 | 1 |
About David Marcus
David Marcus is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Cellular and Molecular Neuroscience and Biomaterials, having authored 21 papers that have together received 697 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Sports Analytics and Performance (2 papers), Advanced Harmonic Analysis Research (2 papers), Pain Mechanisms and Treatments (2 papers) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Biomaterials (205 citations), Computational Theory and Mathematics (176 citations), Pharmaceutical Science (66 citations), Aging (18 citations) and Molecular Biology (371 citations). David Marcus has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Amiram Goldblum, Yechezkel Barenholz, Daniel Zucker, Robert C. Glen, Andreas Bender, Anwar Rayan, Alexander Tropsha, David R. Spring, Shardul Paricharak and Warren R. J. D. Galloway. Their work appears in journals such as Probability Theory and Related Fields, Journal of Cheminformatics, Journal of Controlled Release, Journal of Chemical Information and Modeling and Scientific Reports.
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.