A.G. Sabelnikov

30 papers receiving 428 citations

Peers

A.G. Sabelnikov
Comparison fields: 5 of 94
  • Genetics 123
  • Biophysics 26
  • Biotechnology 38
  • Endocrinology 20
  • Microbiology 23
Replace Satoshi Fukuoka with:
Satoshi Fukuoka Japan
Teja Širec Italy
Matthew G. Hicks United Kingdom
Elke Brosens Belgium
Kensey R. Amaya United States
Mary Luckey United States
Jim E. Horne United Kingdom
David Novo United States
Jessica B. Warner Netherlands
John J. Birmingham United Kingdom
A.G. Sabelnikov relative to Satoshi Fukuoka Japan Satoshi Fukuoka's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.G. Sabelnikov

Since Specialization
Citations

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

Fields of papers citing papers by A.G. Sabelnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. Sabelnikov. 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 A.G. Sabelnikov. The network helps show where A.G. Sabelnikov may publish in the future.

Co-authors

The 11 scholars most cited alongside A.G. Sabelnikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A.G. Sabelnikov Line = papers co-authored together A.G. Sabelnikov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995126
2 200442
3 198731
4 200930
5 200028
6 198125
7 199118
8 199415
9 200814
10 197514
11 200512
12 197911
13 197310
14 20069
15 19859
16 19959
17 19899
18 20048
19 19907
20 19907

About A.G. Sabelnikov

A.G. Sabelnikov is a scholar working on Genetics, Biotechnology, Physiology, Molecular Biology and Ecology, having authored 32 papers that have together received 465 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), RNA Interference and Gene Delivery (4 papers), DNA Repair Mechanisms (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Magnetic and Electromagnetic Effects (4 papers) and Microbial Inactivation Methods (4 papers). The work is most often cited by research in Genetics (123 citations), Biophysics (26 citations), Biotechnology (38 citations), Endocrinology (20 citations) and Microbiology (23 citations). A.G. Sabelnikov has collaborated with scholars based in United States, Russia and Bulgaria. Frequent co-authors include Bill Greenberg, Sanford A. Lacks, Daniel Macrae Keenan, Yury S. Tarahovsky, De Chen, Christian Kempf, Г. В. Шмарина, Thomas W Graham, Vladimir Aleksandrovich Zhukov and Vladimir Chupin. Their work appears in journals such as The Journal of Membrane Biology, Sensors and Actuators B Chemical, Journal of Homeland Security and Emergency Management, Biosensors and Bioelectronics and Biochemical and Biophysical Research 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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