Maksym Bobrovskyy

1.0k citations
10 papers · 698 indexed · 1 hit paper · h-index 9
Topics
Bacterial Genetics and Biotechnology (7 papers)RNA and protein synthesis mechanisms (5 papers)Bacteriophages and microbial interactions (4 papers)
Partner nations
United StatesItaly

In The Last Decade

Maksym Bobrovskyy

10 papers receiving 697 citations

Hit Papers

Computational analysis of bacterial RNA-Seq data20132026201720212013100200300400

Peers

Maksym Bobrovskyy
Comparison fields: 5 of 73
  • Molecular Biology 492
  • Genetics 269
  • Ecology 199
  • Infectious Diseases 90
  • Endocrinology 72
Replace Anna Staroń with:
Anna Staroń Germany
Vânia Pobre Portugal
Emma L. Denham Netherlands
David Lalaouna France
Katarzyna Bandyra United Kingdom
Jason A. Opdyke United States
Khai Luong United States
Heidi Hyytiäinen Finland
Stéphane Perchat France
Yi‐Hsiung Tseng Taiwan
Maksym Bobrovskyy relative to Anna Staroń Germany Anna Staroń's profile →
Citations per field
00.5×1.5×
Anna Staroń · 1×
Citations per year

Countries citing papers authored by Maksym Bobrovskyy

Since Specialization
Citations

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

Fields of papers citing papers by Maksym Bobrovskyy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maksym Bobrovskyy

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 10
3 10
4 19
5 20
6 44
7 21
8 46
9
Computational analysis of bacterial RNA-Seq databreakdown →
447
10 77

About Maksym Bobrovskyy

Maksym Bobrovskyy is a scholar working on Molecular Medicine, Genetics and Endocrinology, having authored 10 papers that have together received 698 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (72 citations), Molecular Medicine (51 citations) and Genetics (269 citations). Maksym Bobrovskyy has collaborated with scholars based in United States and Italy. Frequent co-authors include Carin K. Vanderpool, Ryan McClure, Brian Tjaden, Caroline A. Genco, Paul Sumby, Divya Balasubramanian, Dominique Missiakas, Gregory R. Richards, Olaf Schneewind and So-Young Oh. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

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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