Stephen I. Deutsch

6.5k total citations
202 papers, 5.1k citations indexed

About

Stephen I. Deutsch is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephen I. Deutsch has authored 202 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cellular and Molecular Neuroscience, 73 papers in Molecular Biology and 49 papers in Cognitive Neuroscience. Recurrent topics in Stephen I. Deutsch's work include Neuroscience and Neuropharmacology Research (61 papers), Receptor Mechanisms and Signaling (27 papers) and Autism Spectrum Disorder Research (26 papers). Stephen I. Deutsch is often cited by papers focused on Neuroscience and Neuropharmacology Research (61 papers), Receptor Mechanisms and Signaling (27 papers) and Autism Spectrum Disorder Research (26 papers). Stephen I. Deutsch collaborates with scholars based in United States, United Kingdom and Germany. Stephen I. Deutsch's co-authors include Richard B. Rosse, Barbara L. Schwartz, John Mastropaolo, Jessica A. Burket, Andrew D. Benson, John M. Morihisa, Maria R. Urbano, Amy L. Herndon, Ana Hitri and Tanya N. Alim and has published in prestigious journals such as American Journal of Psychiatry, Neurology and Biological Psychiatry.

In The Last Decade

Stephen I. Deutsch

199 papers receiving 4.9k citations

Peers

Stephen I. Deutsch
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 2.0k
  • Molecular Biology 1.6k
  • Cognitive Neuroscience 1.4k
  • Psychiatry and Mental health 1.1k
  • Genetics 600
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Citations per field, relative to Stephen I. Deutsch
Stephen I. Deutsch · 1×
Citations per year, relative to Stephen I. Deutsch
Stephen I. Deutsch · 1×

Countries citing papers authored by Stephen I. Deutsch

Since Specialization
Citations

This map shows the geographic impact of Stephen I. Deutsch'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 I. Deutsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen I. Deutsch more than expected).

Fields of papers citing papers by Stephen I. Deutsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen I. Deutsch. 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 I. Deutsch. The network helps show where Stephen I. Deutsch may publish in the future.

Co-authorship network of co-authors of Stephen I. Deutsch

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen I. Deutsch. A scholar is included among the top collaborators of Stephen I. Deutsch 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 I. Deutsch. Stephen I. Deutsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 33
2 54
3 1
4 28
5 9
6 2
7 12
8 22
9 6
10 15
11 13
12 26
13 19
14 15
15 45
16 16
17
Two AI languages for simulation
2
18 24
19 6
20 13

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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