Vera Alexeeva

1.3k citations
26 papers · 1.0k · h-index 20

Impact in

Papers in

Vera Alexeeva

26 papers receiving 1.0k citations

Peers

Vera Alexeeva
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 655
  • Aging 25
  • Aquatic Science 69
  • Spectroscopy 155
  • Cognitive Neuroscience 177
Replace Nikolai Dembrow with:
Nikolai Dembrow United States
Willem C. Wildering Canada
Yasuo Furukawa Japan
L. Li United States
Ildikó Kemenes United Kingdom
Yuko Fujisawa Japan
Petra Skiebe Germany
PE Lloyd United States
Mingming Ma China
Manfred Eckert Germany
Vera Alexeeva relative to Nikolai Dembrow United States Nikolai Dembrow's profile →
Citations per field
00.5×1.5×
Nikolai Dembrow · 1×
Citations per year

Countries citing papers authored by Vera Alexeeva

Since Specialization
Citations

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

Fields of papers citing papers by Vera Alexeeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera Alexeeva. 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 Vera Alexeeva. The network helps show where Vera Alexeeva may publish in the future.

Co-authors

The 25 scholars most cited alongside Vera Alexeeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vera Alexeeva Line = papers co-authored together Vera Alexeeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999107
2 1999103
3 200786
4 200272
5 200270
6 200152
7 202249
8 201043
9 201342
10 200042
11 201040
12 200137
13 199935
14 200534
15 200034
16 200332
17 200131
18 201229
19 199927
20 201425

About Vera Alexeeva

Vera Alexeeva is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Sensory Systems and Cell Biology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Neuropeptides and Animal Physiology (4 papers), Olfactory and Sensory Function Studies (4 papers), CRISPR and Genetic Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Pancreatic function and diabetes (3 papers), Cephalopods and Marine Biology (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (655 citations), Aging (25 citations), Aquatic Science (69 citations), Spectroscopy (155 citations) and Cognitive Neuroscience (177 citations). Vera Alexeeva has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Ferdinand S. Vilim, Klaudiusz R. Weiss, Jonathan V. Sweedler, Jian Jing, Stanislav S. Rubakhin, Nikolai Dembrow, Irving Kupfermann, L. Li, Charles C. Horn and Elena V. Romanova. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Journal of Biological Chemistry, Stem Cell Research and Nature Biomedical Engineering.

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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