Stephen M. Sainati
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 2%
- Endocrine and Autonomic Systems top 2%
- Immunology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Stanley A. LorensDavid SeidenGary ZammitSherry Wang‐WeigandJeffrey ZhangThomas RothJianyun ZhangMeliha Erman
- Topics
- Sleep and related disorders (4 papers)Receptor Mechanisms and Signaling (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Stephen M. Sainati
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 479
- Experimental and Cognitive Psychology 438
- Endocrine and Autonomic Systems 374
- Immunology 225
- Cellular and Molecular Neuroscience 212
Countries citing papers authored by Stephen M. Sainati
This map shows the geographic impact of Stephen M. Sainati'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 Stephen M. Sainati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Sainati more than expected).
Fields of papers citing papers by Stephen M. Sainati
This network shows the impact of papers produced by Stephen M. Sainati. 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 Stephen M. Sainati. The network helps show where Stephen M. Sainati may publish in the future.
Co-authorship network of co-authors of Stephen M. Sainati
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Sainati. A scholar is included among the top collaborators of Stephen M. Sainati 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 Stephen M. Sainati. Stephen M. Sainati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 392 | |
| 4 | 134 | |
| 5 | 187 | |
| 6 | 7 | |
| 7 | 190 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | Minimal interaction between fluoxetine and multiple-dose zolpidem in healthy women. | 19 |
| 12 | Lack of cross-reactivity of Ambien (zolpidem) with drugs in standard urine drug screens. | 5 |
| 13 | 19 | |
| 14 | 35 | |
| 15 | 38 | |
| 16 | 65 | |
| 17 | Midbrain Benzodiazepine-GABA-Serotonin Interactions: Effects on Locomotor Activity in the Rat | 1 |
| 18 | 96 |
About Stephen M. Sainati
Stephen M. Sainati is a scholar working on Endocrine and Autonomic Systems, Biological Psychiatry and Experimental and Cognitive Psychology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sleep and related disorders (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (374 citations), Experimental and Cognitive Psychology (438 citations) and Cognitive Neuroscience (479 citations). Stephen M. Sainati has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Stanley A. Lorens, David Seiden, Gary Zammit, Sherry Wang‐Weigand, Jeffrey Zhang, Thomas Roth, Jianyun Zhang, Meliha Erman, Phyllis C. Zee and Gordon R. Bernard. Their work appears in journals such as Critical Care Medicine, Life Sciences and Clinical Pharmacology & Therapeutics.
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.