Iveta Petrova

567 citations
8 papers · 170 · h-index 7

Impact in

Papers in

Iveta Petrova

8 papers receiving 168 citations

Peers

Iveta Petrova
Comparison fields: 5 of 42
  • Developmental Neuroscience 25
  • Cellular and Molecular Neuroscience 78
  • Aging 4
  • Cell Biology 24
  • Molecular Biology 88
Replace Marcela Câmara Machado‐Costa with:
Marcela Câmara Machado‐Costa Brazil
Massimo M. Onesto United States
Patrick Hogan Ireland
Beatriz Freitas Brazil
Aline Dubos France
Sébastien Moutton France
Muriel Koch France
Ryan A. Gallo United States
Sharon Reimsnider United States
Sarah Kurtenbach United States
Iveta Petrova relative to Marcela Câmara Machado‐Costa Brazil Marcela Câmara Machado‐Costa's profile →
Citations per field
00.5×1.5×1.9×
Marcela Câmara Machado‐Costa · 1×
Citations per year

Countries citing papers authored by Iveta Petrova

Since Specialization
Citations

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

Fields of papers citing papers by Iveta Petrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200657
2 202124
3 201322
4 201321
5 201519
6 201311
7 201410
8 20186

About Iveta Petrova

Iveta Petrova is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 8 papers that have together received 170 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Developmental Biology and Gene Regulation (3 papers), Neurobiology and Insect Physiology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Alzheimer's disease research and treatments (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Developmental Neuroscience (25 citations), Cellular and Molecular Neuroscience (78 citations), Aging (4 citations), Cell Biology (24 citations) and Molecular Biology (88 citations). Iveta Petrova has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Lee G. Fradkin, Jasprina N. Noordermeer, Alexander G. Nikonenko, Andrey Irintchev, Eka Lepsveridze, Alexander Dityatev, Melitta Schachner, Ivayla Apostolova, Mu Sun and Martijn J. A. Malessy. Their work appears in journals such as Cell Reports, Biology Open, Molecular Neurobiology, Journal of Neuroscience and Heart.

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.

Explore authors with similar magnitude of impact