E. D. Sverdlov

3.9k citations
176 papers · 3.2k · h-index 28

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Chromosomal and Genetic Variations

Papers in

    • RNA and protein synthesis mechanisms 37
    • CRISPR and Genetic Engineering 23
    • Genomics and Phylogenetic Studies 21
    • Genomics and Chromatin Dynamics 19
    • Epigenetics and DNA Methylation 16
    • RNA modifications and cancer 16
    • Chromosomal and Genetic Variations 35

E. D. Sverdlov

171 papers receiving 3.1k citations

Peers

E. D. Sverdlov
Comparison fields: 5 of 126
  • Molecular Biology 2.1k
  • Plant Science 892
  • Genetics 578
  • Cancer Research 241
  • Immunology 310
Replace James L. Hartley with:
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E. D. Sverdlov relative to James L. Hartley United States James L. Hartley's profile →
Citations per field
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James L. Hartley · 1×
Citations per year

Countries citing papers authored by E. D. Sverdlov

Since Specialization
Citations

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

Fields of papers citing papers by E. D. Sverdlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. D. Sverdlov. 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 E. D. Sverdlov. The network helps show where E. D. Sverdlov may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996217
2 1988202
3 1998187
4 1982126
5 2003105
6 1998102
7 200096
8 200296
9 198389
10 201286
11 200077
12 200677
13 201071
14 200458
15 200551
16 200845
17 200238
18 199935
19 200235
20 200634

About E. D. Sverdlov

E. D. Sverdlov is a scholar working on Molecular Biology, Plant Science, Oncology, Genetics and Surgery, having authored 176 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (37 papers), Chromosomal and Genetic Variations (35 papers), CRISPR and Genetic Engineering (23 papers), Genomics and Phylogenetic Studies (21 papers), Genomics and Chromatin Dynamics (19 papers), Virus-based gene therapy research (17 papers), Epigenetics and DNA Methylation (16 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Plant Science (892 citations), Genetics (578 citations), Cancer Research (241 citations) and Immunology (310 citations). E. D. Sverdlov has collaborated with scholars based in Russia, United States and Belarus. Frequent co-authors include G.S. Monastyrskaya, Yuri B. Lebedev, Anton Buzdin, E. P. Kopantzev, Elena Gogvadze, T. V. Vinogradova, Т В Виноградова, Luda Diatchenko, Paul D. Siebert and И. П. Чернов. Their work appears in journals such as FEBS Letters, Genetic Analysis Biomolecular Engineering, BioTechniques, Virology and Genomics.

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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