Samuel S. Newton

6.1k citations
79 papers · 4.6k indexed · h-index 36
Topics
Tryptophan and brain disorders (12 papers)Neuroscience and Neuropharmacology Research (11 papers)Neurogenesis and neuroplasticity mechanisms (11 papers)
Partner nations
United StatesGhanaCanada

In The Last Decade

Samuel S. Newton

78 papers receiving 4.5k citations

Peers

Samuel S. Newton
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 1.8k
  • Molecular Biology 1.3k
  • Biological Psychiatry 1.0k
  • Behavioral Neuroscience 849
  • Developmental Neuroscience 558
Replace Robert H. Lipsky with:
Robert H. Lipsky United States
Bruno P. Guiard France
Joana Almeida Palha Portugal
Yukihiro Noda Japan
Raffaella Molteni Italy
Fernanda Marques Portugal
Rainald Mößner Germany
Chaim G. Pick Israel
Bogusława Budziszewska Poland
María Pascual Spain
Samuel S. Newton relative to Robert H. Lipsky United States Robert H. Lipsky's profile →
Citations per field
00.5×1.7×
Robert H. Lipsky · 1×
Citations per year

Countries citing papers authored by Samuel S. Newton

Since Specialization
Citations

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

Fields of papers citing papers by Samuel S. Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel S. Newton. 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 Samuel S. Newton. The network helps show where Samuel S. Newton may publish in the future.

Co-authorship network of co-authors of Samuel S. Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S. Newton. A scholar is included among the top collaborators of Samuel S. Newton 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 Samuel S. Newton. Samuel S. Newton 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
#WorkIndexed citations
1 1
2 10
3 16
4 25
5 96
6 12
7 47
8 5
9 252
10 22
11 332
12
Antipsychotic drugs: Comparison in animal models of efficacy, neurotransmitter regulation, and neuroprotection (Pharmacological Reviews (2002) 60, (358-403))
18
13 375
14 92
15 63
16 50
17 33
18 8
19 190
20 54

About Samuel S. Newton

Samuel S. Newton is a scholar working on Biological Psychiatry, Developmental Neuroscience and Behavioral Neuroscience, having authored 79 papers that have together received 4.6k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurogenesis and neuroplasticity mechanisms (11 papers). The work is most often cited by research in Biological Psychiatry (1.0k citations), Behavioral Neuroscience (849 citations) and Developmental Neuroscience (558 citations). Samuel S. Newton has collaborated with scholars based in United States, Ghana and Canada. Frequent co-authors include Ronald S. Duman, Mounira Banasr, Rose Z. Terwilliger, Monica Sathyanesan, Joshua Hunsberger, Craig A. Stockmeier, Vanja Đurić, Arthur A. Simen, David Russell and Emily F. Collier. Their work appears in journals such as JAMA, Nature Medicine and Neuron.

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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