David S. Galstyan

449 citations
34 papers · 231 indexed · h-index 9
Topics
Zebrafish Biomedical Research Applications (23 papers)Neuroinflammation and Neurodegeneration Mechanisms (10 papers)Stress Responses and Cortisol (5 papers)
Partner nations
RussiaChinaBrazil

In The Last Decade

David S. Galstyan

28 papers receiving 228 citations

Peers

David S. Galstyan
Comparison fields: 5 of 69
  • Cell Biology 154
  • Neurology 64
  • Molecular Biology 62
  • Cellular and Molecular Neuroscience 33
  • Social Psychology 30
Replace Konstantin N. Zabegalov with:
Konstantin N. Zabegalov Russia
Erik T. Alpyshov Russia
Rahma Hassan-Abdi France
Oleg A. Yakovlev Russia
Ashton J. Friend United States
Magda Nowicki Canada
Kyle Robinson United States
Sergey L. Khatsko Russia
Fabiano V. Costa Brazil
Juliana Araújo Brazil
David S. Galstyan relative to Konstantin N. Zabegalov Russia Konstantin N. Zabegalov's profile →
Citations per field
00.5×1.5×
Konstantin N. Zabegalov · 1×
Citations per year

Countries citing papers authored by David S. Galstyan

Since Specialization
Citations

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

Fields of papers citing papers by David S. Galstyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Galstyan

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Galstyan. A scholar is included among the top collaborators of David S. Galstyan 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 David S. Galstyan. David S. Galstyan 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 2
3 2
4 3
5 0
6 17
7 4
8 2
9 0
10 1
11 0
12 1
13 1
14 18
15 6
16 45
17 23
18 16
19 7
20 12

About David S. Galstyan

David S. Galstyan is a scholar working on Cell Biology, Behavioral Neuroscience and Neurology, having authored 34 papers that have together received 231 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Cell Biology (154 citations), Neurology (64 citations) and Behavioral Neuroscience (22 citations). David S. Galstyan has collaborated with scholars based in Russia, China and Brazil. Frequent co-authors include Allan V. Kalueff, Murilo S. de Abreu, Konstantin A. Demin, Tamara G. Amstislavskaya, Tatiana O. Kolesnikova, Tatyana Strekalova, Elena V. Petersen, Erik T. Alpyshov, Ana C.V.V. Giacomini and Konstantin N. Zabegalov. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Neuroscience & Biobehavioral Reviews.

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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