Michael S. Pacella
Impact in
- Biomaterials top 5%
- Calcium Carbonate Crystallization and Inhibition
- Structural Biology top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 3
-
- 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)Andrew Leaver‐Fay (2 shared papers)Rhiju Das (2 shared papers)Brian Kuhlman (2 shared papers)P. Douglas Renfrew (2 shared papers)
- Journals
- Science Advances (2 papers)PLoS ONE (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Molecular Systems Design & Engineering (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael S. Pacella
15 papers receiving 1.4k citations
Michael S. Pacella's Hit Papers
Peers
Comparison fields: 5 of 125
- Biomaterials 218
- Structural Biology 19
- Molecular Biology 927
- Computational Theory and Mathematics 118
- Materials Chemistry 315
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 | 942 |
| 2 | 2017 | 160 | |
| 3 | 2018 | 97 | |
| 4 | 2013 | 50 | |
| 5 | 2018 | 49 | |
| 6 | 2011 | 36 | |
| 7 | 2013 | 24 | |
| 8 | 2020 | 17 | |
| 9 | 2013 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 2 | |
| 14 | 2018 | 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 1.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Calcium Carbonate Crystallization and Inhibition (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Enzyme Structure and Function (3 papers), Molecular Junctions and Nanostructures (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Paleontology and Evolutionary Biology (1 paper). The work is most often cited by research in Biomaterials (218 citations), Structural Biology (19 citations), Molecular Biology (927 citations), Computational Theory and Mathematics (118 citations) and Materials Chemistry (315 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, Andrew Leaver‐Fay, Rhiju Das, Brian Kuhlman, P. Douglas Renfrew, Frank DiMaio and Maxim V. Shapovalov. Their work appears in journals such as Science Advances, PLoS ONE, Methods in enzymology on CD-ROM/Methods in enzymology, Molecular Systems Design & Engineering and Nature Communications.
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.