E.V. Baranova

1.3k citations
15 papers · 526 · h-index 9

Impact in

    • Heat shock proteins research
    • Protein Structure and Dynamics
    • Glycosylation and Glycoproteins Research
    • Connexins and lens biology
    • RNA and protein synthesis mechanisms

Papers in

E.V. Baranova

15 papers receiving 516 citations

Peers

E.V. Baranova
Comparison fields: 5 of 78
  • Structural Biology 8
  • Molecular Biology 329
  • Cell Biology 54
  • Pharmacology 28
  • Physiology 67
Replace Kevin Dyer with:
Kevin Dyer United States
Nathalia Varejão Spain
Shuji Takeda Japan
Jan Félix France
Guo‐Hua Qiu China
Eszter Boros Hungary
Daphne M. van Elsland Netherlands
Yamunadevi Subburaj Germany
Ronald L. Woodbury United States
Peter Savory United Kingdom
E.V. Baranova relative to Kevin Dyer United States Kevin Dyer's profile →
Citations per field
00.5×2×3×4×4.7×
Kevin Dyer · 1×
Citations per year

Countries citing papers authored by E.V. Baranova

Since Specialization
Citations

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

Fields of papers citing papers by E.V. Baranova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.V. Baranova. 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 E.V. Baranova. The network helps show where E.V. Baranova may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012132
2 201193
3 201287
4 201455
5 201637
6 201533
7 201630
8 200323
9 200913
10 20245
11 20175
12 20144
13 20174
14 20153
15 20032

About E.V. Baranova

E.V. Baranova is a scholar working on Molecular Biology, Pharmacology, Materials Chemistry, Physiology and Economics and Econometrics, having authored 15 papers that have together received 526 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Enzyme Structure and Function (4 papers), Heat shock proteins research (3 papers), Pharmaceutical Economics and Policy (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Structural Biology (8 citations), Molecular Biology (329 citations), Cell Biology (54 citations), Pharmacology (28 citations) and Physiology (67 citations). E.V. Baranova has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Nikolai B. Gusev, Steven Beelen, Sergei V. Strelkov, S.D. Weeks, Han Remaut, Olesya V. Bukach, Els Pardon, Rémi Fronzes, Nani Van Gerven and Stefan Howorka. Their work appears in journals such as Journal of Molecular Biology, Thrombosis and Haemostasis, Nature Biotechnology, British Journal of Clinical Pharmacology and Journal of Thrombosis and Haemostasis.

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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