Stephen M. Sainati

1.9k total citations
18 papers, 1.2k citations indexed

About

Stephen M. Sainati is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Stephen M. Sainati has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Stephen M. Sainati's work include Sleep and related disorders (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Stephen M. Sainati is often cited by papers focused on Sleep and related disorders (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Stephen M. Sainati collaborates with scholars based in United States, Germany and South Korea. Stephen M. Sainati's 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 and has published in prestigious journals such as Critical Care Medicine, Life Sciences and Clinical Pharmacology & Therapeutics.

In The Last Decade

Stephen M. Sainati

18 papers receiving 1.2k citations

Peers

Stephen M. Sainati
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
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Citations per field, relative to Stephen M. Sainati
Stephen M. Sainati · 1×
Citations per year, relative to Stephen M. Sainati
Stephen M. Sainati · 1×

Countries citing papers authored by Stephen M. Sainati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

18 of 18 papers shown
# 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

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.

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