М. А. Самотруева

441 total citations
71 papers, 132 citations indexed

About

М. А. Самотруева is a scholar working on Physiology, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, М. А. Самотруева has authored 71 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 16 papers in Molecular Biology and 16 papers in Behavioral Neuroscience. Recurrent topics in М. А. Самотруева's work include Biochemical effects in animals (17 papers), Stress Responses and Cortisol (16 papers) and Synthesis and biological activity (10 papers). М. А. Самотруева is often cited by papers focused on Biochemical effects in animals (17 papers), Stress Responses and Cortisol (16 papers) and Synthesis and biological activity (10 papers). М. А. Самотруева collaborates with scholars based in Russia, Czechia and United States. М. А. Самотруева's co-authors include I. N. Tyurenkov, N. F. Myasoedov, Л. А. Андреева, А. А. Озеров, S. M. Yudin, А. В. Караулов, Daria V. Vasina, Gintsburg Al, Artem P. Tkachuk and Vladimir А. Gushchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Viruses and Bulletin of Experimental Biology and Medicine.

In The Last Decade

М. А. Самотруева

44 papers receiving 123 citations

Peers

М. А. Самотруева
Comparison fields: 5 of 61
  • Molecular Biology 40
  • Physiology 28
  • Ecology 27
  • Organic Chemistry 23
  • Behavioral Neuroscience 22
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Juan Bao China
Katherine Davis United States
Gonzalo Ruiz‐Pérez United States
Ana M. Gamo Spain
Daniela Nunes‐Costa Portugal
Justyna Kulpa United States
Simon Benoit France
Marta Tristán Asensi Italy
Juan Bao China View profile →
Citations per field, relative to М. А. Самотруева
М. А. Самотруева · 1×
Citations per year, relative to М. А. Самотруева
М. А. Самотруева · 1×

Countries citing papers authored by М. А. Самотруева

Since Specialization
Citations

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

Fields of papers citing papers by М. А. Самотруева

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. А. Самотруева. 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 М. А. Самотруева. The network helps show where М. А. Самотруева may publish in the future.

Co-authorship network of co-authors of М. А. Самотруева

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

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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