Nadya Markova

1.7k citations
56 papers · 1.4k indexed · h-index 20
Topics
Electrospun Nanofibers in Biomedical Applications (22 papers)Tuberculosis Research and Epidemiology (16 papers)Mycobacterium research and diagnosis (14 papers)
Partner nations
BulgariaRussiaGuadeloupe

In The Last Decade

Nadya Markova

54 papers receiving 1.4k citations

Peers

Nadya Markova
Comparison fields: 5 of 106
  • Biomaterials 616
  • Biomedical Engineering 308
  • Organic Chemistry 260
  • Infectious Diseases 242
  • Epidemiology 225
Replace Dina Raafat with:
Dina Raafat Germany
Hye Cheong Koo South Korea
Vishnu Agarwal India
Amanda E. Brooks United States
Ching‐Hsuan Lin Taiwan
Kristina Ivanova Spain
Mohsen Tafaghodi Iran
Mihai Mareș Romania
Zeinab Hosseinidoust Canada
Nadya Markova relative to Dina Raafat Germany Dina Raafat's profile →
Citations per field
00.5×4.2×
Dina Raafat · 1×
Citations per year

Countries citing papers authored by Nadya Markova

Since Specialization
Citations

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

Fields of papers citing papers by Nadya Markova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadya Markova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadya Markova. A scholar is included among the top collaborators of Nadya Markova 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 Nadya Markova. Nadya Markova 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
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5 3
6 7
7 27
8 21
9 18
10 19
11 13
12 29
13
Formation of Persisting Cell Wall Deficient Forms ofMycobacterium bovis BCG during Interaction with PeritonealMacrophages in Guinea Pigs
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14 19
15 20
16 4
17 17
18 11
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20 7

About Nadya Markova

Nadya Markova is a scholar working on Biomaterials, Molecular Medicine and Infectious Diseases, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (22 papers), Tuberculosis Research and Epidemiology (16 papers) and Mycobacterium research and diagnosis (14 papers). The work is most often cited by research in Biomaterials (616 citations), Surfaces, Coatings and Films (148 citations) and Molecular Medicine (86 citations). Nadya Markova has collaborated with scholars based in Bulgaria, Russia and Guadeloupe. Frequent co-authors include Мilena Ignatova, Iliya Rashkov, Nevena Manolova, K. Starbova, Vesselin Kussovski, Violeta Valcheva, Igor Mokrousov, Samuël Voccia, Robert Jérôme and Damien Cossement. Their work appears in journals such as Langmuir, Journal of Clinical Microbiology and The American Journal of Gastroenterology.

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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