Morozov Va

33 papers receiving 451 citations

Peers

Morozov Va
Comparison fields: 5 of 63
  • Virology 83
  • Microbiology 7
  • Agronomy and Crop Science 60
  • Immunology 110
  • Genetics 96
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Aurélien Richaud France
Muralidhar Deshpande United States
A. Bundza Tanzania
S Prakash United States
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Countries citing papers authored by Morozov Va

Since Specialization
Citations

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

Fields of papers citing papers by Morozov Va

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997131
2 199266
3 200857
4 199725
5 199925
6 198921
7 200421
8 200720
9
Detection of HTLV-1 gag related sequences in leucocyte DNA from patients with polyendocrinopathies (Basedow-Graves' disease and insulin-dependent diabetes).
199114
10 200711
11 199110
12
A putative nucleic acid-binding domain in Werner's and Bloom's syndrome helicases
19977
13
Antibodies to structural and nonstructural gag-coded proteins of type-D retroviruses in humans with lymphadenopathy and AIDS.
19897
14
High level of HTLV-I specific protein expression in a patient with adult T-cell leukemia, chronic progressive myelopathy and Kaposi's sarcoma.
19926
15 20015
16
[DNA vaccine encoding alpha-fetoprotein with fused ornithine decarboxylase degradation signal significantly suppresses hepatocellular carcinoma growth in mice].
20125
17 19964
18
[Advantages and disadvantages of silver staining of proteins in polyacrylamide gel].
19864
19 19863
20 20112

About Morozov Va

Morozov Va is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 463 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Virus-based gene therapy research (4 papers), Animal Disease Management and Epidemiology (4 papers), HIV Research and Treatment (4 papers), Vector-Borne Animal Diseases (3 papers), Herpesvirus Infections and Treatments (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Virology (83 citations), Microbiology (7 citations), Agronomy and Crop Science (60 citations), Immunology (110 citations) and Genetics (96 citations). Morozov Va has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Eugene V. Koonin, Peer Bork, Arcady Mushegian, Sylvie Lagaye, Robin A. Weiss, R. Emanoil‐Ravier, P Vexiau, G Cathelineau, Joëlle Tobaly-Tapiero and M Canivet. Their work appears in journals such as Virology, Neuroreport, Archives of Virology, Proceedings of the National Academy of Sciences and Journal of Virology.

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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