Julia Kraineva

481 citations
10 papers · 427 indexed · h-index 10

Impact in

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

Papers in

Julia Kraineva

10 papers receiving 419 citations

Peers

Julia Kraineva
Comparison fields: 5 of 69
  • Molecular Biology 371
  • Neurology 37
  • Nutrition and Dietetics 61
  • Biomaterials 39
  • Physiology 66
Replace Jun-Mei Zhou with:
Jun-Mei Zhou China
Jon V. Busto Spain
Fernando E. Herrera Argentina
Huifen Nie United States
Joseph D. Barritt United Kingdom
Michael R. Brzustowicz United States
Smita Mukherjee United States
Marcus Bokvist Sweden
Sandipta Acharya Sweden
Tatiana Miti United States
Julia Kraineva relative to Jun-Mei Zhou China Jun-Mei Zhou's profile →
Citations per field
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Jun-Mei Zhou · 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-authorship network

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 201251
2 200732
3 200636
4 200661
5 200555
6 200533
7 20059
8 200511
9 200555
10 200484

About Julia Kraineva

Julia Kraineva is a scholar working on Neurology, Biophysics, Molecular Biology, Nutrition and Dietetics and Physiology, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Protein Structure and Dynamics (4 papers), Prion Diseases and Protein Misfolding (4 papers), Neurological diseases and metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Surfactants and Colloidal Systems (1 paper), Porphyrin Metabolism and Disorders (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Molecular Biology (371 citations), Neurology (37 citations), Nutrition and Dietetics (61 citations), Biomaterials (39 citations) and Physiology (66 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, Luís Maurício T. R. Lima, Chiara Nicolini and Revanur Ravindra. Their work appears in journals such as Langmuir, Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Biological Chemistry.

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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