World's Best Scientists 2026 revealed!
Sharon E. Mitchell

Sharon E. Mitchell

D-Index & Metrics

Genetics

D-Index
59
Citations
22829
World Ranking
3198
National Ranking
1391

Sharon E. Mitchell 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 Sharon E. Mitchell 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: 81 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Sharon E. Mitchell 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 Sharon E. Mitchell 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: 59 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Sharon E. Mitchell is affiliated with Cornell University in the United States. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with notable contributions to subfields such as Physiology, Aging, Endocrine and Autonomic Systems, Insect Science, and Materials Chemistry.

Their work addresses several important scientific topics including Genetics, Aging, and Longevity in Model Organisms, Adipose Tissue and Metabolism, Diet and Metabolism Studies, Dietary Effects on Health, Circadian Rhythm and Melatonin, Regulation of Appetite and Obesity, and Biochemical Effects in Animals.

They have published extensively in various scientific venues, with frequent publications in:

  • The Journals of Gerontology Series A
  • Proceedings of the National Academy of Sciences
  • Cell Metabolism
  • Zenodo (CERN European Organization for Nuclear Research)
  • Chem Catalysis

Recent publications showcase continuing investigation into metabolism, aging, and biochemical processes. Selected papers include:

  • Very-low-protein diets lead to reduced food intake and weight loss, linked to inhibition of hypothalamic mTOR signaling, in mice (2021, Cell Metabolism)
  • Electron paramagnetic resonance spectroscopy for the analysis of single-atom catalysts (2024, Chem Catalysis)
  • The effects of graded calorie restriction XVII: Multitissue metabolomics reveals synthesis of carnitine and NAD, and tRNA charging as key pathways (2021, Proceedings of the National Academy of Sciences)
  • A step toward precision gerontology: Lifespan effects of calorie and protein restriction are consistent with predicted impacts on entropy generation (2023, Proceedings of the National Academy of Sciences)

The scientist frequently collaborates with several researchers including John R. Speakman, Alex Douglas, Davina Derous, Cara L. Green, and Catherine Hambly.

Overall, their research corpus consists of 24 publications related to Medicine and 13 related to Biochemistry, Genetics and Molecular Biology, indicating a strong interdisciplinary approach. Their work contributes to understanding physiological and biochemical mechanisms underlying aging, metabolism, and dietary effects using model organisms and molecular techniques.

Best Publications

  • A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

    Robert J. Elshire;Jeffrey C. Glaubitz;Qi-ying Sun;Jesse A. Poland

  • The Genetic Architecture of Maize Flowering Time

    Edward S. Buckler;Edward S. Buckler;James B. Holland;James B. Holland;Peter J. Bradbury;Peter J. Bradbury;Charlotte B. Acharya

  • Genetic properties of the maize nested association mapping population.

    Michael D. McMullen;Michael D. McMullen;Stephen Kresovich;Hector Sanchez Villeda;Peter Bradbury;Peter Bradbury

  • Maize association population: a high-resolution platform for quantitative trait locus dissection.

    Sherry A. Flint-Garcia;Anne-Céline Thuillet;Jianming Yu;Gael Pressoir

  • Population genomic and genome-wide association studies of agroclimatic traits in sorghum

    Geoffrey P. Morris;Punna Ramu;Santosh P. Deshpande;C. Thomas Hash

  • Comprehensive genotyping of the USA national maize inbred seed bank

    Maria C Romay;Mark J Millard;Mark J Millard;Jeffrey C Glaubitz;Jason A Peiffer

  • Rare genetic variation at Zea mays crtRB1 increases β-carotene in maize grain

    Jianbing Yan;Catherine Bermudez Kandianis;Carlos E. Harjes;Ling Bai

  • Community Resources and Strategies for Association Mapping in Sorghum

    Alexandra M. Casa;Gael Pressoir;Patrick J. Brown;Sharon E. Mitchell

  • Multiple methods for the identification of polymorphic simple sequence repeats (SSRs) in sorghum [Sorghum bicolor (L.) Moench].

    S. M. Brown;M. S. Hopkins;S. E. Mitchell;M. L. Senior

  • Genetic Improvement of Sorghum as a Biofuel Feedstock: I. QTL for Stem Sugar and Grain Nonstructural Carbohydrates

    Seth C. Murray;Arun Sharma;William L. Rooney;Patricia E. Klein

  • Microsatellites in Zea - variability, patterns of mutations, and use for evolutionary studies.

    Y. Matsuoka;S. E. Mitchell;S. Kresovich;M. Goodman

  • Genome-environment associations in sorghum landraces predict adaptive traits.

    Jesse R. Lasky;Hari D. Upadhyaya;Hari D. Upadhyaya;Hari D. Upadhyaya;Punna Ramu;Punna Ramu;Santosh Deshpande

  • Microsatellite identification and characterization in peanut (A. hypogaea L.)

    M. E. Ferguson;M. E. Ferguson;M. D. Burow;M. D. Burow;S. R. Schulze;P. J. Bramel

  • Discovery and Characterization of Polymorphic Simple Sequence Repeats (SSRs) in Peanut

    M. S. Hopkins;A. M. Casa;T. Wang;S. E. Mitchell

  • Genetic diversity of peanut (Arachis hypogaea L.) and its wild relatives based on the analysis of hypervariable regions of the genome.

    Marcio de Carvalho Moretzsohn;Mark S Hopkins;Sharon E Mitchell;Stephen Kresovich

  • SWEET SORGHUM GENETIC DIVERSITY AND ASSOCIATION MAPPING FOR BRIX AND HEIGHT

    Seth C. Murray;William L. Rooney;Martha T. Hamblin;Sharon E. Mitchell

  • A high-density genetic recombination map of sequence-tagged sites for Sorghum, as a framework for comparative structural and evolutionary genomics of tropical grains and grasses.

    John E Bowers;Colette Abbey;Sharon Anderson;Charlene Chang

  • Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants

    Kelly Swarts;Huihui Li;J. Alberto Romero Navarro;Dong An

  • Genetic Diversity among Elite Sorghum Inbred Lines Assessed with Simple Sequence Repeats

    J. S. C. Smith;S. Kresovich;M. S. Hopkins;S. E. Mitchell

  • Genetic Improvement of Sorghum as a Biofuel Feedstock: II. QTL for Stem and Leaf Structural Carbohydrates

    Seth C. Murray;William L. Rooney;Sharon E. Mitchell;Arun Sharma

Frequent Co-Authors

Stephen Kresovich
Stephen Kresovich Clemson University
Edward S. Buckler
Edward S. Buckler Cornell University
Andrew H. Paterson
Andrew H. Paterson University of Georgia
Peter J. Bradbury
Peter J. Bradbury United States Department of Agriculture
Sherry Flint-Garcia
Sherry Flint-Garcia United States Department of Agriculture
James B. Holland
James B. Holland North Carolina State University
Jianming Yu
Jianming Yu Iowa State University
Qi Sun
Qi Sun Cornell University
John Doebley
John Doebley University of Wisconsin–Madison
Doreen Ware
Doreen Ware Cold Spring Harbor Laboratory

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