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D-Index & Metrics

Genetics

D-Index
45
Citations
38115
World Ranking
4183
National Ranking
1801

Scott V. Tingey 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 Scott V. Tingey 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: 94 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Scott V. Tingey 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 Scott V. Tingey 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: 45 D-Index — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Overview

Scott V. Tingey is affiliated with DuPont in the United States. Their research spans multiple fields, including Computer Science, Materials Science, and Biochemistry, Genetics and Molecular Biology. Within these areas, Tingey's work delves into subfields such as Computational Theory and Mathematics, Materials Chemistry, and Molecular Biology.

The scientist's research topics primarily focus on Computational Drug Discovery Methods, Machine Learning in Materials Science, and Advanced Biosensing and Bioanalysis Techniques. These topics indicate a multidisciplinary approach combining computational techniques with biological and materials science applications.

Tingey has contributed to scholarly literature with publications appearing in notable venues. One publication listed is titled "Widespread false negatives in DNA-encoded library data: how linker effects impair machine learning-based lead prediction," published in 2025 in Chemical Science.

Frequent collaborators include Alba L. Montoya, Adam S. Hogendorf, Aadarsh Kuberan, Lik Hang Yuen, and H. Schüler, each with shared contributions to Tingey's body of work.

Tingey's works have been published predominantly in Chemical Science, highlighting this venue as a key platform for disseminating their research findings.

Best Publications

  • DNA polymorphisms amplified by arbitrary primers are useful as genetic markers

    John G.K. Williams;Anne R. Kubelik;Kenneth J. Livak;J.Antoni Rafalski

  • The comparison of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis

    Wayne Powell;Michele Morgante;Chaz Andre;Michael Hanafey

  • The Genome of the Natural Genetic Engineer Agrobacterium tumefaciens C58

    Derek W. Wood;Joao C. Setubal;Rajinder Kaul;Dave E. Monks

  • Genetic diagnostics in plant breeding: RAPDs, microsatellites and machines

    J. Antoni Rafalski;Scott V. Tingey

  • Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize

    Silvio Salvi;Giorgio Sponza;Michele Morgante;Dwight Tomes

  • SNP frequency, haplotype structure and linkage disequilibrium in elite maize inbred lines

    Ada Ching;Katherine S Caldwell;Katherine S Caldwell;Mark Jung;Maurine Dolan

  • Global and local genome mapping in Arabidopsis thaliana by using recombinant inbred lines and random amplified polymorphic DNAs

    R. S. Reiter;J. G. K. Williams;K. A. Feldmann;J. A. Rafalski

  • Abundance, Distribution, and Transcriptional Activity of Repetitive Elements in the Maize Genome

    Blake C. Meyers;Scott V. Tingey;Michele Morgante

  • Genome-wide gene expression profiling in Arabidopsis thaliana reveals new targets of abscisic acid and largely impaired gene regulation in the abi1-1 mutant.

    Stefan Hoth;Michele Morgante;Juan-Pablo Sanchez;Michael K. Hanafey

  • Genetic Analysis with Random Amplified Polymorphic DNA Markers

    S. V. Tingey;J. P. del Tufo

  • 4 – Generating and Using DNA Markers in Plants

    J. Antoni Rafalski;Julie M. Vogel;Michele Morgante;Wayne Powell

  • Evolution of DNA Sequence Nonhomologies among Maize Inbreds

    Stephan Brunner;Kevin Fengler;Michele Morgante;Scott Tingey

  • Simple sequence repeats for germplasm analysis and mapping in maize

    Graziana Taramino;Scott Tingey

  • Gene Discovery and Product Development for Grain Quality Traits

    Barbara Mazur;Enno Krebbers;Scott Tingey

  • The Complete Sequence of 340 kb of DNA around the Rice Adh1–Adh2 Region Reveals Interrupted Colinearity with Maize Chromosome 4

    Renato Tarchini;Phyllis Biddle;Robin Wineland;Scott Tingey

  • Glutamine synthetase genes of pea encode distinct polypeptides which are differentially expressed in leaves, roots and nodules.

    S.V. Tingey;E.L. Walker;G.M. Coruzzi

  • Long-range patterns of diversity and linkage disequilibrium surrounding the maize Y1 gene are indicative of an asymmetric selective sweep

    Kelly Palaisa;Michele Morgante;Scott Tingey;Antoni Rafalski

  • The maize methylome influences mRNA splice sites and reveals widespread paramutation-like switches guided by small RNA.

    Michael Regulski;Zhenyuan Lu;Jude Kendall;Mark T.A. Donoghue

  • Whole genome scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize.

    André Beló;André Beló;Peizhong Zheng;Stanley Luck;Bo Shen

  • Hypervariable microsatellites provide a general source of polymorphic DNA markers for the chloroplast genome

    W. Powell;M. Morgante;C. Andre;J.W. McNicol

Frequent Co-Authors

Michele Morgante
Michele Morgante University of Udine
Robert J Henry
Robert J Henry University of Queensland
Neil J. Shirley
Neil J. Shirley University of Adelaide
Geoffrey B. Fincher
Geoffrey B. Fincher University of Adelaide
Rachel A. Burton
Rachel A. Burton University of Adelaide
Peter Langridge
Peter Langridge University of Adelaide
Wayne Powell
Wayne Powell Scotland's Rural College
Kanwarpal S. Dhugga
Kanwarpal S. Dhugga International Maize and Wheat Improvement Center
Gloria M. Coruzzi
Gloria M. Coruzzi New York University
Maria Hrmova
Maria Hrmova University of Adelaide

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