Azat Badretdin

16.7k citations
5 papers · 5.2k indexed · 1 hit paper · h-index 5
Topics
Genomics and Phylogenetic Studies (4 papers)RNA and protein synthesis mechanisms (3 papers)Machine Learning in Bioinformatics (1 paper)
Partner nations
United StatesRussiaSpain

In The Last Decade

Azat Badretdin

5 papers receiving 5.2k citations

Hit Papers

NCBI prokaryotic genome annotation pipeline2016202620192022201610002.0k3.0k4.0k

Peers

Azat Badretdin
Comparison fields: 5 of 120
  • Molecular Biology 3.4k
  • Ecology 1.8k
  • Plant Science 1.1k
  • Food Science 780
  • Endocrinology 633
Replace Vyacheslav Chetvernin with:
Vyacheslav Chetvernin United States
Bruce Parrello United States
Veronika Vonstein United States
Karin Lagesen Norway
Jochen Blom Germany
Johan Goris Belgium
Vladislav Saveliev Russia
Alice R. Wattam United States
Peter F. Hallin Denmark
Terry Disz United States
Azat Badretdin relative to Vyacheslav Chetvernin United States Vyacheslav Chetvernin's profile →
Citations per field
00.5×1.5×
Vyacheslav Chetvernin · 1×
Citations per year

Countries citing papers authored by Azat Badretdin

Since Specialization
Citations

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

Fields of papers citing papers by Azat Badretdin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azat Badretdin

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 38
2 308
3 35
4
NCBI prokaryotic genome annotation pipelinebreakdown →
4619
5 205

About Azat Badretdin

Azat Badretdin is a scholar working on Biotechnology, Ecology and Molecular Biology, having authored 5 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (3 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Endocrinology (633 citations), Molecular Medicine (475 citations) and Microbiology (61 citations). Azat Badretdin has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Michael DiCuccio, Tatiana Tatusova, Vyacheslav Chetvernin, Leonid Zaslavsky, Mark Borodovsky, James Ostell, Eric P. Nawrocki, Kim D. Pruitt, Alexandre Lomsadze and Stacy Ciufo. Their work appears in journals such as Nucleic Acids Research, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Physics of Life Reviews.

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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