Andrey Postnov

928 citations
51 papers · 738 · h-index 15

Impact in

Papers in

    • Medical Imaging Techniques and Applications 18
    • Radiomics and Machine Learning in Medical Imaging 7
    • Advanced MRI Techniques and Applications 6
    • Radiopharmaceutical Chemistry and Applications 6
    • Glioma Diagnosis and Treatment 9

Andrey Postnov

48 papers receiving 724 citations

Peers

Andrey Postnov
Comparison fields: 5 of 116
  • Biological Psychiatry 36
  • Physiology 63
  • Neurology 92
  • Nephrology 62
  • Cellular and Molecular Neuroscience 113
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Citations per field
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Citations per year

Countries citing papers authored by Andrey Postnov

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Postnov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrey Postnov, 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 Andrey Postnov Line = papers co-authored together Andrey Postnov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201661
3 200961
4 201359
5 200353
6 200553
7 201544
8 200541
9 201838
10 200222
11 201522
12 200621
13 201721
14 201618
15 201514
16 201713
17 200913
18 201912
19 201611
20 201310

About Andrey Postnov

Andrey Postnov is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology, Biomedical Engineering and Oncology, having authored 51 papers that have together received 738 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (18 papers), Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray Imaging Techniques (6 papers), Advanced X-ray and CT Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Physiology (63 citations), Neurology (92 citations), Nephrology (62 citations) and Cellular and Molecular Neuroscience (113 citations). Andrey Postnov has collaborated with scholars based in Russia, Belgium and Netherlands. Frequent co-authors include Koen Van Laere, Guy Bormans, D. Van Dyck, Nora De Clerck, Rawaha Ahmad, Nora M. De Clerck, Sofie Celen, Mark E. Schmidt, S. V. Saveliev and A. Vinogradov. Their work appears in journals such as Journal of Nuclear Medicine, Journal of Microscopy, European Journal of Nuclear Medicine and Molecular Imaging, Neurology and Clinical and Translational Science.

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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