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D-Index & Metrics

Genetics

D-Index
52
Citations
12400
World Ranking
3780
National Ranking
1630

Svetlana A. Shabalina publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Svetlana A. Shabalina sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 97 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Svetlana A. Shabalina D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Svetlana A. Shabalina sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 52 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Overview

Svetlana A. Shabalina is affiliated with the National Center for Biotechnology Information in the United States. Their research primarily focuses on biochemistry, genetics, and molecular biology, with significant contributions in several subfields including molecular biology, infectious diseases, ecology, modeling and simulation, and health.

The main research topics in Svetlana Shabalina's work include:

  • RNA and protein synthesis mechanisms
  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 research
  • Genomics and phylogenetic studies
  • RNA modifications and cancer
  • Vaccine coverage and hesitancy
  • Advanced electron microscopy techniques and applications

Frequent co-authors in their publications include:

  • Eugene V. Koonin
  • Luda Diatchenko
  • O. V. Matveeva
  • Rachael C. Kretsch
  • Yuan Wu

Their work has been published repeatedly in specific venues, with the following recurring publication venues:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • EMPIAR dataset
  • SSRN Electronic Journal
  • Cellular and Molecular Neurobiology

Selected recent papers authored or co-authored by Svetlana A. Shabalina include:

  • The hidden bacterial microproteome, 2025, Molecular Cell
  • The genomic structure of a human chromosome 22 nucleolar organizer region determined by TAR cloning, 2021, Scientific Reports
  • Comparison of vaccination and booster rates and their impact on excess mortality during the COVID-19 pandemic in European countries, 2023, Frontiers in Immunology
  • Prospects for Using Expression Patterns of Paramyxovirus Receptors as Biomarkers for Oncolytic Virotherapy, 2020, Cancers
  • Naturally ornate RNA-only complexes revealed by cryo-EM, 2024, bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • A putative RNA-interference-based immune system in prokaryotes: computational analysis of the predicted enzymatic machinery, functional analogies with eukaryotic RNAi, and hypothetical mechanisms of action

    Kira S Makarova;Nick V Grishin;Svetlana A Shabalina;Yuri I Wolf

  • Genetic basis for individual variations in pain perception and the development of a chronic pain condition

    Luda Diatchenko;Gary D. Slade;Andrea G. Nackley;Konakporn Bhalang

  • Human Catechol-O-Methyltransferase Haplotypes Modulate Protein Expression by Altering mRNA Secondary Structure

    A. G. Nackley;S. A. Shabalina;I. E. Tchivileva;K. Satterfield

  • Origins and evolution of eukaryotic RNA interference

    Svetlana A. Shabalina;Eugene V. Koonin

  • Abundance of type I toxin–antitoxin systems in bacteria: searches for new candidates and discovery of novel families

    Elizabeth M. Fozo;Kira S. Makarova;Svetlana A. Shabalina;Natalya Yutin

  • MicL, a new σE-dependent sRNA, combats envelope stress by repressing synthesis of Lpp, the major outer membrane lipoprotein

    Monica S. Guo;Taylor B. Updegrove;Emily B. Gogol;Svetlana A. Shabalina

  • Sounds of silence: synonymous nucleotides as a key to biological regulation and complexity

    Svetlana A. Shabalina;Nikolay A. Spiridonov;Anna Kashina

  • Rapid decline of fitness in panmictic populations of Drosophila melanogaster maintained under relaxed natural selection

    Svetlana A. Shabalina;Lev Yu. Yampolsky;Alexey S. Kondrashov

  • Three major haplotypes of the β2 adrenergic receptor define psychological profile, blood pressure, and the risk for development of a common musculoskeletal pain disorder†

    Luda Diatchenko;Amy D. Anderson;Gary D. Slade;Roger B. Fillingim

  • Genetic architecture of human pain perception

    Luda Diatchenko;Andrea G. Nackley;Inna E. Tchivileva;Svetlana A. Shabalina

  • A periodic pattern of mRNA secondary structure created by the genetic code.

    Svetlana A. Shabalina;Aleksey Y. Ogurtsov;Nikolay A. Spiridonov

  • The mammalian transcriptome and the function of non-coding DNA sequences

    Svetlana A Shabalina;Nikolay A Spiridonov

  • Differential Arginylation of Actin Isoforms is Regulated by Coding-Sequence-Dependent Degradation

    Fangliang Zhang;Sougata Saha;Svetlana A. Shabalina;Anna Kashina

  • Computational models with thermodynamic and composition features improve siRNA design.

    Svetlana A Shabalina;Alexey N Spiridonov;Aleksey Y Ogurtsov

  • Comparison of approaches for rational siRNA design leading to a new efficient and transparent method

    Olga Matveeva;Yury D. Nechipurenko;Leo Rossi;Barry Moore

  • Expansion of the human μ-opioid receptor gene architecture: novel functional variants

    Svetlana A. Shabalina;Dmitri V. Zaykin;Pavel Gris;Aleksey Y. Ogurtsov

  • Selective constraint in intergenic regions of human and mouse genomes

    Svetlana A Shabalina;Aleksey Yu Ogurtsov;Vasily A Kondrashov;Alexey S Kondrashov

  • Related giant viruses in distant locations and different habitats: Acanthamoeba polyphaga moumouvirus represents a third lineage of the Mimiviridae that is close to the megavirus lineage

    Niyaz Yoosuf;Natalya Yutin;Philippe Colson;Svetlana A. Shabalina

  • Distinct Patterns of Expression and Evolution of Intronless and Intron-Containing Mammalian Genes

    Svetlana A. Shabalina;Aleksey Y. Ogurtsov;Alexey N. Spiridonov;Pavel S. Novichkov

  • Computational models with thermodynamic and composition features improve siRNA design

    Svetlana A. Shabalina;Aleksey Y. Ogurtsov;Alexey Nikolaevich Spiridonov

Frequent Co-Authors

Eugene V. Koonin
Eugene V. Koonin National Institutes of Health
Alexey S. Kondrashov
Alexey S. Kondrashov University of Michigan–Ann Arbor
Luda Diatchenko
Luda Diatchenko McGill University
Igor B. Rogozin
Igor B. Rogozin National Institutes of Health
William Maixner
William Maixner Duke University
Ashish Lal
Ashish Lal National Institutes of Health
Kannanganattu V. Prasanth
Kannanganattu V. Prasanth University of Illinois at Urbana-Champaign
Yuri I. Wolf
Yuri I. Wolf National Institutes of Health
John F. Atkins
John F. Atkins University College Cork
Gisela Storz
Gisela Storz National Institutes of Health

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