Michael S. Pacella
Impact in
- Biomaterials top 5%
- Calcium Carbonate Crystallization and Inhibition
- Supramolecular Self-Assembly in Materials
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
Papers in
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- Advanced biosensing and bioanalysis techniques 5
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 3
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- Calcium Carbonate Crystallization and Inhibition 5
- Co-authors
- Jeffrey J. Gray (9 shared papers)Jason W. Labonte (3 shared papers)Richard Bonneau (3 shared papers)Philip Bradley (2 shared papers)P. Douglas Renfrew (2 shared papers)Andrew Leaver‐Fay (2 shared papers)Brian Kuhlman (2 shared papers)Rhiju Das (2 shared papers)
- Journals
- Science Advances (2 papers)Nature Communications (1 paper)Langmuir (1 paper)Crystal Growth & Design (1 paper)Physics of Fluids (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael S. Pacella
15 papers receiving 1.5k citations
Michael S. Pacella's Hit Papers
Peers
Comparison fields: 5 of 125
- Biomaterials 226
- Molecular Biology 925
- Structural Biology 19
- Radiology, Nuclear Medicine and Imaging 151
- Computational Theory and Mathematics 112
Countries citing papers authored by Michael S. Pacella
This map shows the geographic impact of Michael S. Pacella'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 Michael S. Pacella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Pacella more than expected).
Fields of papers citing papers by Michael S. Pacella
This network shows the impact of papers produced by Michael S. Pacella. 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 Michael S. Pacella. The network helps show where Michael S. Pacella may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael S. Pacella, 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 | The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design Hit paper breakdown → | 2017 | 977 |
| 2 | 2017 | 166 | |
| 3 | 2018 | 102 | |
| 4 | 2018 | 53 | |
| 5 | 2013 | 52 | |
| 6 | 2011 | 36 | |
| 7 | 2013 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2013 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2020 | 0 |
About Michael S. Pacella
Michael S. Pacella is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Materials Chemistry and Paleontology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Enzyme Structure and Function (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Molecular Junctions and Nanostructures (2 papers) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Biomaterials (226 citations), Molecular Biology (925 citations), Structural Biology (19 citations), Radiology, Nuclear Medicine and Imaging (151 citations) and Computational Theory and Mathematics (112 citations). Michael S. Pacella has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jeffrey J. Gray, Jason W. Labonte, Richard Bonneau, Philip Bradley, P. Douglas Renfrew, Andrew Leaver‐Fay, Brian Kuhlman, Rhiju Das, Kalli Kappel and Vikram Khipple Mulligan. Their work appears in journals such as Science Advances, Nature Communications, Langmuir, Crystal Growth & Design and Physics of Fluids.
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.