Benjamin D. Madej
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior 5
- Protein Structure and Dynamics 2
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- Computational Drug Discovery Methods 2
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- Spectroscopy and Quantum Chemical Studies 4
- Force Microscopy Techniques and Applications 2
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 1
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- Pharmaceutical Economics and Policy 1
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- Nanopore and Nanochannel Transport Studies 1
- Co-authors
- Ross C. WalkerKnut TeigenÅge A. SkjevikIan R. GouldCallum J. DicksonRobin M. BetzEric StahlbergIzumi V. Hinkson
- Journals
- The Journal of Physical Chemistry B (2 papers)Frontiers in Pharmacology (1 paper)Chemical Communications (1 paper)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Benjamin D. Madej
7 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 209
- Computational Theory and Mathematics 181
- Atomic and Molecular Physics, and Optics 222
- Spectroscopy 116
Countries citing papers authored by Benjamin D. Madej
This map shows the geographic impact of Benjamin D. Madej'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 Benjamin D. Madej with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Madej more than expected).
Fields of papers citing papers by Benjamin D. Madej
This network shows the impact of papers produced by Benjamin D. Madej. 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 Benjamin D. Madej. The network helps show where Benjamin D. Madej may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Benjamin D. Madej, 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 | 2020 | 37 | |
| 2 | 2020 | 93 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 49 | |
| 5 | 2015 | 50 | |
| 6 | Lipid14: The Amber Lipid Force Fieldbreakdown → | 2014 | 1005 |
| 7 | 2012 | 177 |
About Benjamin D. Madej
Benjamin D. Madej is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Pharmacology, Molecular Biology and Spectroscopy, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Force Microscopy Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Pharmaceutical Economics and Policy (1 paper), Nanopore and Nanochannel Transport Studies (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (209 citations), Computational Theory and Mathematics (181 citations), Atomic and Molecular Physics, and Optics (222 citations) and Spectroscopy (116 citations). Benjamin D. Madej has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Ross C. Walker, Knut Teigen, Åge A. Skjevik, Ian R. Gould, Callum J. Dickson, Robin M. Betz, Eric Stahlberg, Izumi V. Hinkson, Charles Lin and Kishore Kumar Pasikanti. Their work appears in journals such as The Journal of Physical Chemistry B, Frontiers in Pharmacology, Chemical Communications, Drug Metabolism and Disposition and Journal of Chemical Theory and Computation.
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.