Natalia Baranova

20 papers receiving 442 citations

Peers

Natalia Baranova
Comparison fields: 5 of 88
  • Cell Biology 188
  • Immunology and Allergy 36
  • Parasitology 24
  • Immunology 72
  • Molecular Biology 214
Replace Sara Geraldo with:
Sara Geraldo France
Julie Lafaurie-Janvore France
Barbara Peracino Italy
Mikhail Nikolaev Switzerland
Daniela Holzer Germany
Drew C. MacKellar United States
Pablo Rougerie France
Lynne Chang United States
Dipannita Dutta United States
Ana Joaquina Jiménez France
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Citations per year

Countries citing papers authored by Natalia Baranova

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Baranova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011118
2 201468
3 201365
4 201755
5 202041
6 202117
7 199814
8 202212
9 201610
10 20199
11 20239
12 20217
13 20166
14 20114
15 20213
16 20233
17 20233
18 20143
19
[Lyme disease in patients with multiple sclerosis: clinical, diagnostic and therapeutic features].
20122
20 20231

About Natalia Baranova

Natalia Baranova is a scholar working on Genetics, Molecular Biology, Cell Biology, Mechanical Engineering and Mechanics of Materials, having authored 22 papers that have together received 450 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Metal and Thin Film Mechanics (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Connective tissue disorders research (2 papers), Bacteriophages and microbial interactions (2 papers), Advanced materials and composites (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Cell Biology (188 citations), Immunology and Allergy (36 citations), Parasitology (24 citations), Immunology (72 citations) and Molecular Biology (214 citations). Natalia Baranova has collaborated with scholars based in Spain, United Kingdom and Russia. Frequent co-authors include Ralf P. Richter, Anthony J. Day, David C. Briggs, Florian Haller, Sofia Svedhem, Jan J. Enghild, Caroline M. Milner, Viranga Tilakaratna, Jessica C. F. Kwok and Martin Loose. Their work appears in journals such as Journal of Biological Chemistry, eLife, International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde), Nature Communications and International Journal of Molecular Sciences.

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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