Valeri Metelev

1.7k citations
51 papers · 1.4k · h-index 17

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • DNA and Nucleic Acid Chemistry 25
    • RNA Interference and Gene Delivery 12
    • Advanced biosensing and bioanalysis techniques 11
    • RNA and protein synthesis mechanisms 7
    • Immune Response and Inflammation 5

Valeri Metelev

50 papers receiving 1.4k citations

Peers

Valeri Metelev
Comparison fields: 5 of 92
  • Virology 370
  • Immunology 329
  • Molecular Biology 942
  • Infectious Diseases 150
  • Oncology 211
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Citations per field
00.5×3.9×
Stephen Oroszlan · 1×
Citations per year

Countries citing papers authored by Valeri Metelev

Since Specialization
Citations

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

Fields of papers citing papers by Valeri Metelev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valeri Metelev, 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 Valeri Metelev Line = papers co-authored together Valeri Metelev 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 1995497
2 2013103
3 199380
4 200855
5 199454
6 200153
7 201149
8 200345
9 199238
10 198537
11 199635
12 201234
13 199631
14 200323
15 197918
16 200917
17 200117
18 198814
19 199914
20 200314

About Valeri Metelev

Valeri Metelev is a scholar working on Molecular Biology, Immunology, Cancer Research, Organic Chemistry and Oncology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (25 papers), RNA Interference and Gene Delivery (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), NF-κB Signaling Pathways (9 papers), RNA and protein synthesis mechanisms (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immune Response and Inflammation (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (370 citations), Immunology (329 citations), Molecular Biology (942 citations), Infectious Diseases (150 citations) and Oncology (211 citations). Valeri Metelev has collaborated with scholars based in Russia, United States and France. Frequent co-authors include David J. Friedman, Chiang J. Li, Arthur B. Pardee, Chuanlin Wang, Sudhir Agrawal, Paul C. Zamecnik, Fanny Baran‐Marszak, Rémi Fagard, Julianna Lisziewicz and Alexei Bogdanov. Their work appears in journals such as FEBS Letters, Proceedings of the National Academy of Sciences, Bioconjugate Chemistry, Nucleic Acids Research and Bioelectrochemistry.

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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