Irina Alexeeva

786 total citations
10 papers, 606 citations indexed

About

Irina Alexeeva is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Irina Alexeeva has authored 10 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Nutrition and Dietetics. Recurrent topics in Irina Alexeeva's work include Prion Diseases and Protein Misfolding (9 papers), Neurological diseases and metabolism (5 papers) and Trace Elements in Health (3 papers). Irina Alexeeva is often cited by papers focused on Prion Diseases and Protein Misfolding (9 papers), Neurological diseases and metabolism (5 papers) and Trace Elements in Health (3 papers). Irina Alexeeva collaborates with scholars based in United States, Austria and Canada. Irina Alexeeva's co-authors include Robert G. Rohwer, Ilia V. Baskakov, Natallia Makarava, Regina Savtchenko, Herbert Budka, Gábor G. Kovács, Olga V. Bocharova, Valeriy G. Ostapchenko, Núria González‐Montalbán and Luisa Gregori and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Irina Alexeeva

10 papers receiving 597 citations

Peers

Irina Alexeeva

MB

NEURO

ND

PHYSI

NEURO

Laëtitia Herzog France

Gillian McGovern United Kingdom

Rona Barron United Kingdom

Melanie Desbruslais United Kingdom

Raymond Bujdoso United Kingdom

Jeffrey M. Bockman United States

Richard H. Kimberlin United Kingdom

Julie Meads United Kingdom

Andrew Timmes United States

Geraldina Riccardi Italy

Laëtitia Herzog France

Irina Alexeeva

950 ×1.6

MB

449 ×1.5

NEURO

293 ×1.3

ND

74 ×0.9

PHYSI

33 ×1.0

NEURO

Citations per year, relative to Irina Alexeeva Irina Alexeeva (= 1×) peers Laëtitia Herzog

Countries citing papers authored by Irina Alexeeva

Since Specialization

Citations

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

Fields of papers citing papers by Irina Alexeeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Alexeeva

This figure shows the co-authorship network connecting the top 25 collaborators of Irina Alexeeva. A scholar is included among the top collaborators of Irina Alexeeva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irina Alexeeva. Irina Alexeeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Alexeeva, Irina, et al.. (2017). The philosophy of complexity management in terms of convergence of socio-humanitarian and natural-science knowledge. Papers of the “round table”. 22(1). 5–29. 2 indexed citations

2.

Makarava, Natallia, Regina Savtchenko, Irina Alexeeva, Robert G. Rohwer, & Ilia V. Baskakov. (2016). New Molecular Insight into Mechanism of Evolution of Mammalian Synthetic Prions. American Journal Of Pathology. 186(4). 1006–1014. 24 indexed citations

3.

Makarava, Natallia, Gábor G. Kovács, Regina Savtchenko, et al.. (2012). A New Mechanism for Transmissible Prion Diseases. Journal of Neuroscience. 32(21). 7345–7355. 61 indexed citations

4.

Makarava, Natallia, Gábor G. Kovács, Regina Savtchenko, et al.. (2012). Stabilization of a Prion Strain of Synthetic Origin Requires Multiple Serial Passages. Journal of Biological Chemistry. 287(36). 30205–30214. 45 indexed citations

5.

Makarava, Natallia, Regina Savtchenko, Irina Alexeeva, Robert G. Rohwer, & Ilia V. Baskakov. (2012). Fast and ultrasensitive method for quantitating prion infectivity titre. Nature Communications. 3(1). 741–741. 33 indexed citations

6.

González‐Montalbán, Núria, Natallia Makarava, Valeriy G. Ostapchenko, et al.. (2011). Highly Efficient Protein Misfolding Cyclic Amplification. PLoS Pathogens. 7(2). e1001277–e1001277. 82 indexed citations

7.

Makarava, Natallia, Gábor G. Kovács, Regina Savtchenko, et al.. (2011). Genesis of Mammalian Prions: From Non-infectious Amyloid Fibrils to a Transmissible Prion Disease. PLoS Pathogens. 7(12). e1002419–e1002419. 85 indexed citations

8.

Makarava, Natallia, Gábor G. Kovács, Olga V. Bocharova, et al.. (2010). Recombinant prion protein induces a new transmissible prion disease in wild-type animals. Acta Neuropathologica. 119(2). 177–187. 223 indexed citations

9.

Gregori, Luisa, Gábor G. Kovács, Irina Alexeeva, Herbert Budka, & Robert G. Rohwer. (2008). Excretion of Transmissible Spongiform Encephalopathy Infectivity in Urine. Emerging infectious diseases. 14(9). 1406–1412. 33 indexed citations

10.

Alexeeva, Irina, Ellen J. Elliott, Sandra Rollins, et al.. (2006). Absence of Spiroplasma or Other Bacterial 16S rRNA Genes in Brain Tissue of Hamsters with Scrapie. Journal of Clinical Microbiology. 44(1). 91–97. 18 indexed citations

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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