V.P. Zav′yalov
- Endocrinology top 2%
- Escherichia coli research studies 8
- Parasitology top 5%
- Genetics top 5%
- Yersinia bacterium, plague, ectoparasites research 18
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 12
- Protein purification and stability 11
- Heat shock proteins research 11
- Protein Structure and Dynamics 8
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- Monoclonal and Polyclonal Antibodies Research 25
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- Immune Response and Inflammation 9
- Co-authors
- Vyacheslav M. AbramovTimo KorpelaAlexander I. DenesyukGalina A. Zav’yalovaAnton V. ZavialovV. M. TischenkoSheila MacIntyreEdouard E. Galyov
- Cited by
- EndocrinologyParasitologyGenetics
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)Applied and Environmental Microbiology (1 paper)
- Partner nations
- RussiaFinlandUnited States
In The Last Decade
V.P. Zav′yalov
104 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Endocrinology 302
- Parasitology 192
- Genetics 636
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 349
Countries citing papers authored by V.P. Zav′yalov
This map shows the geographic impact of V.P. Zav′yalov'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 V.P. Zav′yalov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V.P. Zav′yalov more than expected).
Fields of papers citing papers by V.P. Zav′yalov
This network shows the impact of papers produced by V.P. Zav′yalov. 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 V.P. Zav′yalov. The network helps show where V.P. Zav′yalov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V.P. Zav′yalov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | 2017 | 5 | |
| 3 | 2013 | 25 | |
| 4 | 2003 | 16 | |
| 5 | 2000 | 4 | |
| 6 | 2000 | 5 | |
| 7 | De novo protein albeferon specifically interacts with monosyalogangliosides and with high-efficacy suppresses the proliferation of cells | 1999 | 0 |
| 8 | 1998 | 48 | |
| 9 | 1998 | 3 | |
| 10 | 1995 | 27 | |
| 11 | 1995 | 1 | |
| 12 | 1995 | 53 | |
| 13 | 1995 | 49 | |
| 14 | 1995 | 22 | |
| 15 | 1994 | 6 | |
| 16 | 1993 | 13 | |
| 17 | 1992 | 42 | |
| 18 | 1991 | 25 | |
| 19 | 1990 | 23 | |
| 20 | 1989 | 9 |
About V.P. Zav′yalov
V.P. Zav′yalov is a scholar working on Archeology, Endocrinology and Immunology, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Yersinia bacterium, plague, ectoparasites research (18 papers), Glycosylation and Glycoproteins Research (12 papers), Protein purification and stability (11 papers), Heat shock proteins research (11 papers), Immune Response and Inflammation (9 papers), Protein Structure and Dynamics (8 papers) and Escherichia coli research studies (8 papers). The work is most often cited by research in Endocrinology (302 citations), Parasitology (192 citations) and Genetics (636 citations). V.P. Zav′yalov has collaborated with scholars based in Russia, Finland and United States. Frequent co-authors include Vyacheslav M. Abramov, Timo Korpela, Alexander I. Denesyuk, Galina A. Zav’yalova, Anton V. Zavialov, V. M. Tischenko, Sheila MacIntyre, Edouard E. Galyov, E. V. Navolotskaya and Andrey V. Karlyshev. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.