Stacia M. DeSantis
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Clinical Psychology top 5%
- Co-authors
- Kathleen T. BradyAimee L. McRae‐ClarkFrancis G. SpinaleMichael E. SaladinKevin M. GraySudie E. BackNathaniel L. BakerMatthew J. Carpenter
- Topics
- Statistical Methods and Bayesian Inference (12 papers)Neurotransmitter Receptor Influence on Behavior (10 papers)Statistical Methods and Inference (10 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesBelgiumSingapore
In The Last Decade
Stacia M. DeSantis
106 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 154
- Cellular and Molecular Neuroscience 456
- Epidemiology 376
- Cardiology and Cardiovascular Medicine 361
- Molecular Biology 320
- Clinical Psychology 273
Countries citing papers authored by Stacia M. DeSantis
This map shows the geographic impact of Stacia M. DeSantis'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 Stacia M. DeSantis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacia M. DeSantis more than expected).
Fields of papers citing papers by Stacia M. DeSantis
This network shows the impact of papers produced by Stacia M. DeSantis. 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 Stacia M. DeSantis. The network helps show where Stacia M. DeSantis may publish in the future.
Co-authorship network of co-authors of Stacia M. DeSantis
This figure shows the co-authorship network connecting the top 25 collaborators of Stacia M. DeSantis. A scholar is included among the top collaborators of Stacia M. DeSantis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stacia M. DeSantis. Stacia M. DeSantis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 43 | |
| 10 | 49 | |
| 11 | 14 | |
| 12 | 22 | |
| 13 | 192 | |
| 14 | 18 | |
| 15 | 75 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 48 | |
| 19 | 16 | |
| 20 | 67 |
About Stacia M. DeSantis
Stacia M. DeSantis is a scholar working on Statistics and Probability, Behavioral Neuroscience and Critical Care and Intensive Care Medicine, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (12 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Statistical Methods and Inference (10 papers). The work is most often cited by research in Behavioral Neuroscience (247 citations), Biological Psychiatry (129 citations) and Critical Care and Intensive Care Medicine (174 citations). Stacia M. DeSantis has collaborated with scholars based in United States, Belgium and Singapore. Frequent co-authors include Kathleen T. Brady, Aimee L. McRae‐Clark, Francis G. Spinale, Michael E. Saladin, Kevin M. Gray, Sudie E. Back, Nathaniel L. Baker, Matthew J. Carpenter, Megan M. Moran‐Santa Maria and Kimber L. Price. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.