Vera Kovaleva

1.4k citations
18 papers · 193 · h-index 8

Impact in

Papers in

Vera Kovaleva

16 papers receiving 192 citations

Peers

Vera Kovaleva
Comparison fields: 5 of 52
  • Cellular and Molecular Neuroscience 55
  • Cell Biology 48
  • Developmental Neuroscience 10
  • Endocrine and Autonomic Systems 16
  • Aging 3
Replace Sean M. Stevens with:
Sean M. Stevens United States
Toshiro Iwagawa Japan
Alec R. Nickolls United States
Cristina Martínez-Fernández de la Cámara United Kingdom
Alicia F. Paulson United States
Ximena Corso‐Díaz United States
Daisuke Matsuyama Japan
Susanne Aleithe Germany
Tomasz Zygmunt United States
N S Davis Israel
Vera Kovaleva relative to Sean M. Stevens United States Sean M. Stevens's profile →
Citations per field
00.5×2.6×
Sean M. Stevens · 1×
Citations per year

Countries citing papers authored by Vera Kovaleva

Since Specialization
Citations

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

Fields of papers citing papers by Vera Kovaleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vera Kovaleva, 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 Kovaleva Line = papers co-authored together Vera Kovaleva links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202342
2 202141
3 202133
4 201516
5 201315
6 201515
7 20197
8 20167
9 20144
10 20113
11 20153
12 20152
13 20152
14 20231
15 20161
16 20161
17 20100
18 20130

About Vera Kovaleva

Vera Kovaleva is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Biomedical Engineering, Cancer Research and Molecular Biology, having authored 18 papers that have together received 193 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (8 papers), Nanoplatforms for cancer theranostics (6 papers), Neurobiology and Insect Physiology Research (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Photoreceptor and optogenetics research (3 papers), Circadian rhythm and melatonin (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (55 citations), Cell Biology (48 citations), Developmental Neuroscience (10 citations), Endocrine and Autonomic Systems (16 citations) and Aging (3 citations). Vera Kovaleva has collaborated with scholars based in Russia, Finland and Estonia. Frequent co-authors include Anatoly B. Uzdensky, Elena Berezhnaya, Märt Saarma, Li-Ying Yu, Maria Neginskaya, Mati Karelson, Päivi Lindholm, Ave Eesmaa, Simona Selberg and Esko Kankuri. Their work appears in journals such as Journal of Biomedical Optics, Molecular Neurobiology, Cell Reports, Nitric Oxide and Parkinsonism & Related Disorders.

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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