Austin E. Smith
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Orthodontics top 5%
Papers in
-
- Protein Structure and Dynamics 11
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 2
-
- Enzyme Structure and Function 7
- Co-authors
- Gary J. Pielak (12 shared papers)Mohona Sarkar (3 shared papers)Yaqiang Wang (1 shared paper)Alexander S. Krois (1 shared paper)Gregory B. Young (2 shared papers)David L. Steer (1 shared paper)Marie‐Isabel Aguilar (1 shared paper)Rebecca A. Lew (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Gynecologic Oncology (2 papers)Protein Science (2 papers)Biochemistry (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Austin E. Smith
19 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.3k
- Orthodontics 64
- Biophysics 83
- Cell Biology 220
- Materials Chemistry 469
Countries citing papers authored by Austin E. Smith
This map shows the geographic impact of Austin E. Smith'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 Austin E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin E. Smith more than expected).
Fields of papers citing papers by Austin E. Smith
This network shows the impact of papers produced by Austin E. Smith. 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 Austin E. Smith. The network helps show where Austin E. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Austin E. Smith, 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 | 2012 | 294 | |
| 2 | 2017 | 277 | |
| 3 | 2002 | 249 | |
| 4 | 2012 | 199 | |
| 5 | 2015 | 173 | |
| 6 | 2013 | 165 | |
| 7 | 2016 | 139 | |
| 8 | 1984 | 84 | |
| 9 | 2014 | 54 | |
| 10 | 2016 | 51 | |
| 11 | 2017 | 50 | |
| 12 | 2000 | 48 | |
| 13 | 2015 | 35 | |
| 14 | 2020 | 31 | |
| 15 | 2018 | 26 | |
| 16 | 2013 | 15 | |
| 17 | 2016 | 10 | |
| 18 | 2013 | 6 | |
| 19 | 2011 | 2 | |
| 20 | 2011 | 0 |
About Austin E. Smith
Austin E. Smith is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Organic Chemistry and Biochemistry, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (7 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Surfactants and Colloidal Systems (2 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers) and Proteins in Food Systems (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Orthodontics (64 citations), Biophysics (83 citations), Cell Biology (220 citations) and Materials Chemistry (469 citations). Austin E. Smith has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Gary J. Pielak, Mohona Sarkar, Yaqiang Wang, Alexander S. Krois, Gregory B. Young, David L. Steer, Marie‐Isabel Aguilar, Rebecca A. Lew, Patrick Perlmutter and Michael Senske. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gynecologic Oncology, Protein Science, Biochemistry and Molecular Cell.
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.