Natalie A. Wasio
- Process Chemistry and Technology top 10%
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- Force Microscopy Techniques and Applications 5
- Advanced Chemical Physics Studies 4
- Surface and Thin Film Phenomena 3
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- Molecular Junctions and Nanostructures 13
- Advanced Memory and Neural Computing 3
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- Surface Chemistry and Catalysis 9
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- Quantum-Dot Cellular Automata 3
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- Photoreceptor and optogenetics research 2
- Co-authors
- Rebecca C. QuardokusCraig S. LentS. Alex KandelSteven A. CorcelliRyan P. ForrestKenneth W. HendersonJohn A. ChristieE. Charles H. Sykes
- Cited by
- Process Chemistry and TechnologyRenewable Energy, Sustainability and the EnvironmentCatalysis
- Journals
- Nature (1 paper)Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Natalie A. Wasio
22 papers receiving 722 citations
Peers
Comparison fields: 5 of 61
- Process Chemistry and Technology 59
- Renewable Energy, Sustainability and the Environment 156
- Catalysis 64
- Materials Chemistry 329
- Atomic and Molecular Physics, and Optics 203
Countries citing papers authored by Natalie A. Wasio
This map shows the geographic impact of Natalie A. Wasio'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 Natalie A. Wasio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie A. Wasio more than expected).
Fields of papers citing papers by Natalie A. Wasio
This network shows the impact of papers produced by Natalie A. Wasio. 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 Natalie A. Wasio. The network helps show where Natalie A. Wasio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalie A. Wasio, 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 | 2021 | 4 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 11 | |
| 4 | 2017 | 18 | |
| 5 | 2017 | 8 | |
| 6 | 2017 | 3 | |
| 7 | 2017 | 10 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 45 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 25 | |
| 12 | 2015 | 43 | |
| 13 | 2014 | 190 | |
| 14 | 2014 | 13 | |
| 15 | 2013 | 28 | |
| 16 | 2013 | 3 | |
| 17 | 2012 | 24 | |
| 18 | 2011 | 59 | |
| 19 | 2009 | 24 | |
| 20 | 2009 | 14 |
About Natalie A. Wasio
Natalie A. Wasio is a scholar working on Structural Biology, Process Chemistry and Technology and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 726 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (13 papers), Surface Chemistry and Catalysis (9 papers), Force Microscopy Techniques and Applications (5 papers), Advanced Chemical Physics Studies (4 papers), Advanced Memory and Neural Computing (3 papers), Quantum-Dot Cellular Automata (3 papers), Surface and Thin Film Phenomena (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Process Chemistry and Technology (59 citations), Renewable Energy, Sustainability and the Environment (156 citations) and Catalysis (64 citations). Natalie A. Wasio has collaborated with scholars based in United States and France. Frequent co-authors include Rebecca C. Quardokus, Craig S. Lent, S. Alex Kandel, Steven A. Corcelli, Ryan P. Forrest, Kenneth W. Henderson, John A. Christie, E. Charles H. Sykes, Colin J. Murphy and Felicia R. Lucci. Their work appears in journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.