Natalya Glushkova

2.7k citations
71 papers · 461 indexed · h-index 12
Topics
COVID-19 epidemiological studies (6 papers)Vaccine Coverage and Hesitancy (5 papers)Asthma and respiratory diseases (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Natalya Glushkova

60 papers receiving 442 citations

Peers

Natalya Glushkova
Comparison fields: 5 of 113
  • Epidemiology 71
  • Cell Biology 61
  • General Health Professions 56
  • Infectious Diseases 43
  • Clinical Psychology 37
Replace Luca Cavalieri d’Oro with:
Luca Cavalieri d’Oro Italy
Wai Leng Chow Singapore
Jiancheng Wang China
Crispin Musicha United Kingdom
Göran Hermansson Sweden
Fahad Alamri Saudi Arabia
Jiangfeng Ye China
Giuliano Franco Italy
Ahmed A. Madar Norway
Megan McCabe United States
Natalya Glushkova relative to Luca Cavalieri d’Oro Italy Luca Cavalieri d’Oro's profile →
Citations per field
00.5×4.4×
Luca Cavalieri d’Oro · 1×
Citations per year

Countries citing papers authored by Natalya Glushkova

Since Specialization
Citations

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

Fields of papers citing papers by Natalya Glushkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalya Glushkova

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 2
5 7
6 3
7 1
8 0
9 6
10 3
11 13
12 3
13 11
14 1
15 5
16 3
17 0
18 12
19 0
20 34

About Natalya Glushkova

Natalya Glushkova is a scholar working on Modeling and Simulation, Health and Sensory Systems, having authored 71 papers that have together received 461 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Vaccine Coverage and Hesitancy (5 papers) and Asthma and respiratory diseases (5 papers). The work is most often cited by research in Modeling and Simulation (30 citations), Applied Microbiology and Biotechnology (13 citations) and Sensory Systems (28 citations). Natalya Glushkova has collaborated with scholars based in Kazakhstan, Russia and United States. Frequent co-authors include Yuliya Semenova, Lyudmila Pivina, Geir Bjørklund, Marzhan Dauletyarova, Antonio Sarría‐Santamera, Vyacheslav Lokshin, Salvatore Chirumbolo, Paolo C. Colet, Alexey A. Tinkov and Anatoly V. Skalny. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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