Mariya Kalinova

22 total papers · 920 total citations
5 papers, 62 citations indexed

About

Mariya Kalinova is a scholar working on Infectious Diseases, Neurology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Mariya Kalinova has authored 5 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Neurology and 1 paper in Critical Care and Intensive Care Medicine. Recurrent topics in Mariya Kalinova's work include SARS-CoV-2 and COVID-19 Research (2 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 and Mental Health (1 paper). Mariya Kalinova is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 and Mental Health (1 paper). Mariya Kalinova collaborates with scholars based in United Kingdom and Australia. Mariya Kalinova's co-authors include Alex Mann, Ben Killingley, Christopher Chiu, Niluka Goonawardane, William Barclay, Neil M. Ferguson, Jie Zhou, Michael R. Barer, Maya Moshe and Ksenia Sukhova and has published in prestigious journals such as Science Immunology, EClinicalMedicine and The Lancet Microbe.

In The Last Decade

Mariya Kalinova

5 papers receiving 57 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mariya Kalinova	35	21	20	11	7	5	62
Francesco Onelia	24 0.7×	15 0.7×	3 0.1×	6 0.5×	5 0.7×	6	55
Alireza Shojaei	32 0.9×	7 0.3×	7 0.3×	6 0.5×	15 2.1×	5	72
Xiong Xie	41 1.2×	6 0.3×	11 0.6×	17 1.5×	11 1.6×	4	65
Gaëtan Plantefève	35 1.0×	10 0.5×	5 0.3×	9 0.8×	19 2.7×	4	54
Bashir Aden	54 1.5×	3 0.1×	13 0.7×	5 0.5×	4 0.6×	6	80
Simon Xiwen Qin	44 1.3×	5 0.2×	9 0.5×	8 0.7×	9 1.3×	6	67
Zoe Gardener	16 0.5×	10 0.5×	8 0.4×	28 2.5×	2 0.3×	4	65
Emma Bergstrom	16 0.5×	10 0.5×	8 0.4×	28 2.5×	2 0.3×	4	65
Ludovic Glady	48 1.4×	4 0.2×	8 0.4×	22 2.0×	9 1.3×	5	76
Paola Marchisio	36 1.0×	8 0.4×	7 0.3×	8 0.7×	11 1.6×	5	55

Countries citing papers authored by Mariya Kalinova

Since Specialization

Citations

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

Fields of papers citing papers by Mariya Kalinova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariya Kalinova

This figure shows the co-authorship network connecting the top 25 collaborators of Mariya Kalinova. A scholar is included among the top collaborators of Mariya Kalinova 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 Mariya Kalinova. Mariya Kalinova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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