Robin Stacy
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
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- Enzyme Structure and Function
Papers in
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- Enzyme Structure and Function 8
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- Influenza Virus Research Studies 2
- Burkholderia infections and melioidosis 2
- Co-authors
- Peter John Myler (10 shared papers)Bart L. Staker (5 shared papers)Wesley C. Van Voorhis (5 shared papers)Lance J. Stewart (3 shared papers)Garry W. Buchko (2 shared papers)Gabriele Varani (2 shared papers)Isabelle Q. Phan (6 shared papers)Darren W. Begley (3 shared papers)
- Journals
- Scientific Reports (1 paper)PLoS Pathogens (1 paper)Tuberculosis (1 paper)PLoS ONE (1 paper)Genomics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Robin Stacy
16 papers receiving 823 citations
Peers
Comparison fields: 5 of 51
- Epidemiology 305
- Materials Chemistry 190
- Endocrinology 18
- Computational Theory and Mathematics 64
- Parasitology 26
Countries citing papers authored by Robin Stacy
This map shows the geographic impact of Robin Stacy'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 Robin Stacy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Stacy more than expected).
Fields of papers citing papers by Robin Stacy
This network shows the impact of papers produced by Robin Stacy. 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 Robin Stacy. The network helps show where Robin Stacy may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Stacy, 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 | 2010 | 282 | |
| 2 | 2013 | 109 | |
| 3 | 2014 | 103 | |
| 4 | 2009 | 93 | |
| 5 | 2011 | 64 | |
| 6 | 2016 | 48 | |
| 7 | 2015 | 27 | |
| 8 | 2005 | 24 | |
| 9 | 2011 | 20 | |
| 10 | 2013 | 18 | |
| 11 | 2011 | 16 | |
| 12 | 2011 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2011 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2012 | 4 |
About Robin Stacy
Robin Stacy is a scholar working on Materials Chemistry, Epidemiology, Computational Theory and Mathematics, Infectious Diseases and Parasitology, having authored 16 papers that have together received 839 indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Influenza Virus Research Studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Burkholderia infections and melioidosis (2 papers), Computational Drug Discovery Methods (2 papers), Biochemical and Structural Characterization (1 paper), RNA and protein synthesis mechanisms (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Epidemiology (305 citations), Materials Chemistry (190 citations), Endocrinology (18 citations), Computational Theory and Mathematics (64 citations) and Parasitology (26 citations). Robin Stacy has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Peter John Myler, Bart L. Staker, Wesley C. Van Voorhis, Lance J. Stewart, Garry W. Buchko, Gabriele Varani, Isabelle Q. Phan, Darren W. Begley, Sandhya Subramanian and Thomas E. Edwards. Their work appears in journals such as Scientific Reports, PLoS Pathogens, Tuberculosis, PLoS ONE and Genomics.
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.