David Stelter
Impact in
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- Polymer crystallization and properties
Papers in
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- Lipid Membrane Structure and Behavior 5
- Protein Structure and Dynamics 3
- Advanced biosensing and bioanalysis techniques 2
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- Surfactants and Colloidal Systems 2
- Co-authors
- T. Keyes (8 shared papers)Shyam M. Saladi (1 shared paper)Joan‐Emma Shea (1 shared paper)David S. Goodsell (1 shared paper)Matteo Ricci (1 shared paper)Remus T. Dame (1 shared paper)Martina Maritan (1 shared paper)Ludovic Autin (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (4 papers)ACS Sensors (1 paper)Proceedings of the National Academy of Sciences (1 paper)Chem (1 paper)Soft Matter (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
David Stelter
10 papers receiving 493 citations
David Stelter's Hit Papers
Peers
Comparison fields: 5 of 77
- Polymers and Plastics 71
- Materials Chemistry 134
- Biomaterials 36
- Physical and Theoretical Chemistry 21
- Renewable Energy, Sustainability and the Environment 37
Countries citing papers authored by David Stelter
This map shows the geographic impact of David Stelter'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 Stelter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stelter more than expected).
Fields of papers citing papers by David Stelter
This network shows the impact of papers produced by David Stelter. 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 Stelter. The network helps show where David Stelter may publish in the future.
Co-authors
The 22 scholars most cited alongside David Stelter, 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 | Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physics Hit paper breakdown → | 2021 | 369 |
| 2 | 2019 | 45 | |
| 3 | 2018 | 35 | |
| 4 | 2017 | 15 | |
| 5 | 2019 | 9 | |
| 6 | 2017 | 8 | |
| 7 | 2018 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2013 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 |
About David Stelter
David Stelter is a scholar working on Molecular Biology, Organic Chemistry, Atomic and Molecular Physics, and Optics, Computational Mechanics and Infectious Diseases, having authored 11 papers that have together received 497 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Protein Structure and Dynamics (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Surfactants and Colloidal Systems (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Computer Graphics and Visualization Techniques (1 paper), Meteorological Phenomena and Simulations (1 paper) and Urban Heat Island Mitigation (1 paper). The work is most often cited by research in Polymers and Plastics (71 citations), Materials Chemistry (134 citations), Biomaterials (36 citations), Physical and Theoretical Chemistry (21 citations) and Renewable Energy, Sustainability and the Environment (37 citations). David Stelter has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include T. Keyes, Shyam M. Saladi, Joan‐Emma Shea, David S. Goodsell, Matteo Ricci, Remus T. Dame, Martina Maritan, Ludovic Autin, Grant J. Jensen and Otello Maria Roscioni. Their work appears in journals such as The Journal of Physical Chemistry B, ACS Sensors, Proceedings of the National Academy of Sciences, Chem and Soft Matter.
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.