Mayya Sedova

910 citations
20 papers · 434 indexed · h-index 10
Topics
Bioinformatics and Genomic Networks (7 papers)Genomics and Phylogenetic Studies (6 papers)Protein Structure and Dynamics (5 papers)
Partner nations
United StatesSpainCanada

In The Last Decade

Mayya Sedova

18 papers receiving 425 citations

Peers

Mayya Sedova
Comparison fields: 5 of 80
  • Molecular Biology 333
  • Infectious Diseases 74
  • Ecology 41
  • Computational Theory and Mathematics 40
  • Materials Chemistry 37
Replace Peter Hönigschmid with:
Peter Hönigschmid Germany
Subu Subramanian United States
Olga Kunyavskaya Russia
Michael Seringhaus United States
Josephine Burgin United Kingdom
M. Grabowski United States
Nicola Bordin United Kingdom
Jun Mashima Japan
Philippe Marc France
Fabian Barthels Germany
Mayya Sedova relative to Peter Hönigschmid Germany Peter Hönigschmid's profile →
Citations per field
00.5×
Peter Hönigschmid · 1×
Citations per year

Countries citing papers authored by Mayya Sedova

Since Specialization
Citations

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

Fields of papers citing papers by Mayya Sedova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayya Sedova

This figure shows the co-authorship network connecting the top 25 collaborators of Mayya Sedova. A scholar is included among the top collaborators of Mayya Sedova 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 Mayya Sedova. Mayya Sedova 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 2
3 3
4 5
5 33
6 1
7 0
8 13
9 141
10 27
11 7
12 60
13 7
14 9
15 12
16 17
17 19
18 11
19 1
20 66

About Mayya Sedova

Mayya Sedova is a scholar working on Information Systems and Management, Molecular Biology and Endocrinology, having authored 20 papers that have together received 434 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Molecular Biology (333 citations), Infectious Diseases (74 citations) and Information Systems and Management (21 citations). Mayya Sedova has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Adam Godzik, Lukasz Jaroszewski, Zhanwen Li, Mallika Iyer, Michael Baitaluk, Amarnath Gupta, Animesh Ray, Arghavan Alisoltani, Thomas Hrabe and Piotr Rotkiewicz. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

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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