David S. Galstyan

51 total papers · 439 total citations
34 papers, 225 citations indexed

About

David S. Galstyan is a scholar working on Cell Biology, Molecular Biology and Neurology. According to data from OpenAlex, David S. Galstyan has authored 34 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cell Biology, 11 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in David S. Galstyan's work include Zebrafish Biomedical Research Applications (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Stress Responses and Cortisol (5 papers). David S. Galstyan is often cited by papers focused on Zebrafish Biomedical Research Applications (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Stress Responses and Cortisol (5 papers). David S. Galstyan collaborates with scholars based in Russia, China and Brazil. David S. Galstyan's co-authors include Allan V. Kalueff, Murilo S. de Abreu, Konstantin A. Demin, Tatiana O. Kolesnikova, Tamara G. Amstislavskaya, Tatyana Strekalova, Erik T. Alpyshov, Elena V. Petersen, Konstantin N. Zabegalov and Ana C.V.V. Giacomini and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Neuroscience & Biobehavioral Reviews.

In The Last Decade

David S. Galstyan

26 papers receiving 222 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David S. Galstyan 148 64 60 32 27 34 225
Erik T. Alpyshov 128 0.9× 57 0.9× 83 1.4× 35 1.1× 29 1.1× 12 290
Fabiano V. Costa 218 1.5× 44 0.7× 44 0.7× 66 2.1× 46 1.7× 22 295
Radharani Benvenutti 148 1.0× 50 0.8× 39 0.7× 67 2.1× 34 1.3× 24 296
Ari Sudwarts 114 0.8× 73 1.1× 70 1.2× 52 1.6× 33 1.2× 10 252
Amanda Facciol 217 1.5× 37 0.6× 52 0.9× 62 1.9× 46 1.7× 17 311
Kanza Khan 179 1.2× 68 1.1× 80 1.3× 81 2.5× 42 1.6× 11 320
Ashton J. Friend 202 1.4× 31 0.5× 62 1.0× 61 1.9× 61 2.3× 10 286
Julian Pittman 100 0.7× 28 0.4× 46 0.8× 30 0.9× 33 1.2× 11 227
Rahma Hassan-Abdi 113 0.8× 64 1.0× 92 1.5× 99 3.1× 42 1.6× 13 327
Magda Nowicki 232 1.6× 51 0.8× 80 1.3× 76 2.4× 39 1.4× 12 328

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

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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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