Julia Kraineva

482 citations
10 papers · 425 · h-index 10

Impact in

    • Lipid Membrane Structure and Behavior
    • Prion Diseases and Protein Misfolding
    • Protein Structure and Dynamics

Papers in

    • Lipid Membrane Structure and Behavior 5
    • Prion Diseases and Protein Misfolding 4
    • Protein Structure and Dynamics 4
    • Sphingolipid Metabolism and Signaling 1
    • Neurological diseases and metabolism 3

Julia Kraineva

10 papers receiving 418 citations

Peers

Julia Kraineva
Comparison fields: 5 of 68
  • Molecular Biology 367
  • Neurology 34
  • Nutrition and Dietetics 55
  • Biomaterials 38
  • Physiology 63
Replace Calina Glynn with:
Calina Glynn United States
Jun-Mei Zhou China
Fernando E. Herrera Argentina
Michael R. Brzustowicz United States
Joseph D. Barritt United Kingdom
Smita Mukherjee United States
Paweł Stańczak United States
Sandipta Acharya Sweden
Hans Meeldijk Netherlands
Tatiana Miti United States
Julia Kraineva relative to Calina Glynn United States Calina Glynn's profile →
Citations per field
00.5×11×
Calina Glynn · 1×
Citations per year

Countries citing papers authored by Julia Kraineva

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kraineva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Julia Kraineva, 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 Julia Kraineva Line = papers co-authored together Julia Kraineva links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200483
2 200661
3 200555
4 200554
5 201252
6 200636
7 200533
8 200732
9 200510
10 20059

About Julia Kraineva

Julia Kraineva is a scholar working on Molecular Biology, Neurology, Organic Chemistry, Atomic and Molecular Physics, and Optics and Physiology, having authored 10 papers that have together received 425 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Prion Diseases and Protein Misfolding (4 papers), Protein Structure and Dynamics (4 papers), Neurological diseases and metabolism (3 papers), Sphingolipid Metabolism and Signaling (1 paper), Alzheimer's disease research and treatments (1 paper), Enzyme Structure and Function (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Molecular Biology (367 citations), Neurology (34 citations), Nutrition and Dietetics (55 citations), Biomaterials (38 citations) and Physiology (63 citations). Julia Kraineva has collaborated with scholars based in Germany, Brazil and United States. Frequent co-authors include Roland Winter, Yraima Cordeiro, Jerson L. Silva, Mariana P. B. Gomes, Débora Foguel, P. Thiyagarajan, Elena Kondrashkina, Chiara Nicolini, Luís Maurício T. R. Lima and Vytautas Smirnovas. Their work appears in journals such as Biophysical Journal, Langmuir, Journal of Biological Chemistry, Brazilian Journal of Medical and Biological Research and Journal of Physics Condensed Matter.

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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