World's Best Scientists 2026 revealed!
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Best Female Scientists
2025

D-Index & Metrics

Best Female Scientists

D-Index
115
Citations
72380
World Ranking
698
National Ranking
424

Genetics

D-Index
118
Citations
79189
World Ranking
401
National Ranking
207

Kira S. Makarova 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 Kira S. Makarova 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: 288 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Kira S. Makarova 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 Kira S. Makarova 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: 118 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Best Female Scientists Award

Overview

Kira S. Makarova is affiliated with the National Institutes of Health in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology, with a strong focus on Molecular Biology.

The subfields of study addressed in their work include:

  • Molecular Biology
  • Ecology
  • Genetics
  • Plant Science
  • Endocrinology

Key topics covered in their research include:

  • RNA and protein synthesis mechanisms
  • CRISPR and Genetic Engineering
  • Bacteriophages and microbial interactions
  • Genomics and Phylogenetic Studies
  • Bacterial Genetics and Biotechnology
  • Microbial Community Ecology and Physiology
  • RNA regulation and disease

Makarova has contributed to several notable recent papers, including:

  • "COG database update: focus on microbial diversity, model organisms, and widespread pathogens," 2020, Nucleic Acids Research
  • "Diverse enzymatic activities mediate antiviral immunity in prokaryotes," 2020, Science
  • "The widespread IS200/IS605 transposon family encodes diverse programmable RNA-guided endonucleases," 2021, Science
  • "Expanded diversity of Asgard archaea and their relationships with eukaryotes," 2021, Nature
  • "Programmable RNA targeting with the single-protein CRISPR effector Cas7-11," 2021, Nature

Their frequent co-authors consist of:

  • Eugene V. Koonin
  • Yuri I. Wolf
  • Sergey Shmakov
  • Han Altae-Tran
  • Svetlana Karamycheva

Publication venues where their work appears often include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Nucleic Acids Research
  • Science
  • The CRISPR Journal

Best Publications

  • Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system.

    Bernd Zetsche;Jonathan S. Gootenberg;Omar O. Abudayyeh;Ian M. Slaymaker

  • Small CRISPR RNAs guide antiviral defense in prokaryotes

    Stan J. J. Brouns;Matthijs M. Jore;Magnus Lundgren;Edze R. Westra

  • Evolution and classification of the CRISPR-Cas systems

    Kira S. Makarova;Daniel H. Haft;Rodolphe Barrangou;Stan J. J. Brouns

  • An updated evolutionary classification of CRISPR–Cas systems

    Kira S. Makarova;Yuri I. Wolf;Omer S. Alkhnbashi;Fabrizio Costa

  • In vivo genome editing using Staphylococcus aureus Cas9

    F. Ann Ran;Le Cong;Winston X. Yan;David A. Scott

  • Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants.

    Kira S. Makarova;Yuri I. Wolf;Jaime Iranzo;Sergey A. Shmakov

  • Crystal structure of Cas9 in complex with guide RNA and target DNA

    Takashi Yamano;Hiroshi Nishimasu;Hiroshi Nishimasu;Bernd Zetsche;Hisato Hirano

  • C2c2 is a single-component programmable RNA-guided RNA-targeting CRISPR effector

    Omar O. Abudayyeh;Jonathan S. Gootenberg;Silvana Konermann;Silvana Konermann;Silvana Konermann;Julia Joung;Julia Joung;Julia Joung

  • Comparative genomics of the lactic acid bacteria

    K. Makarova;A. Slesarev;Y. Wolf;A. Sorokin

  • 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

  • Expanded microbial genome coverage and improved protein family annotation in the COG database

    Michael Y. Galperin;Kira S. Makarova;Yuri I. Wolf;Eugene V. Koonin

  • Horizontal gene transfer in prokaryotes: quantification and classification.

    Eugene V. Koonin;Kira S. Makarova;L. Aravind

  • Diversity, classification and evolution of CRISPR-Cas systems

    Eugene V Koonin;Kira S Makarova;Feng Zhang

  • Discovery and Functional Characterization of Diverse Class 2 CRISPR-Cas Systems

    Sergey Shmakov;Omar O. Abudayyeh;Kira S. Makarova;Yuri I. Wolf

  • Genome sequence of the radioresistant bacterium Deinococcus radiodurans R1.

    O. White;J. A. Eisen;J. F. Heidelberg;E. K. Hickey

  • A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes

    Eugene V Koonin;Natalie D Fedorova;John D Jackson;Aviva R Jacobs

  • Diversity and evolution of class 2 CRISPR-Cas systems

    Sergey Shmakov;Aaron Smargon;David Scott;David Cox

  • Genome Sequence and Comparative Analysis of the Solvent-Producing Bacterium Clostridium acetobutylicum

    J Nölling;G Breton;M V Omelchenko;K S Makarova;K S Makarova

  • Genome of the Extremely Radiation-Resistant Bacterium Deinococcus radiodurans Viewed from the Perspective of Comparative Genomics

    Kira S. Makarova;Kira S. Makarova;L. Aravind;Yuri I. Wolf;Roman L. Tatusov

  • Accumulation of Mn(II) in Deinococcus radiodurans facilitates gamma-radiation resistance.

    M. J. Daly;E. K. Gaidamakova;V. Y. Matrosova;A. Vasilenko

Frequent Co-Authors

Eugene V. Koonin
Eugene V. Koonin National Institutes of Health
Yuri I. Wolf
Yuri I. Wolf National Institutes of Health
Konstantin Severinov
Konstantin Severinov Rutgers, The State University of New Jersey
Michael Y. Galperin
Michael Y. Galperin National Institutes of Health
L. Aravind
L. Aravind National Institutes of Health
John van der Oost
John van der Oost Wageningen University & Research
Igor B. Rogozin
Igor B. Rogozin National Institutes of Health
Dimitry Y. Sorokin
Dimitry Y. Sorokin Delft University of Technology
Natalya Yutin
Natalya Yutin National Institutes of Health

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Related Online Degrees & Career Pathways

While a degree in Genetics lays a strong foundation for research and laboratory work, there are several related online programs that can expand your career options in healthcare and the life sciences. Many students interested in Genetics also explore nursing and healthcare administration pathways, which can lead to both clinical and leadership roles.

For those seeking a flexible route into nursing, consider enrolling in a nursing school without entrance exam requirements. This allows you to begin your healthcare career without the typical standardized testing barrier. If you’re looking for the fastest entry into hands-on practice, 6 months lpn program options can prepare you for licensure and patient care in less than a year.

Those interested in the business side of healthcare or aspiring to leadership roles may benefit from pursuing a healthcare administration masters. For advanced nursing professionals, an online phd programs in nursing can open doors to teaching, research, and executive leadership. Each of these pathways complements a background in Genetics, offering diverse opportunities for growth and specialization.

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