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D-Index & Metrics

Genetics

D-Index
66
Citations
18775
World Ranking
2595
National Ranking
1150

Kenneth M. Weiss 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 Kenneth M. Weiss 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: 253 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Kenneth M. Weiss 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 Kenneth M. Weiss 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: 66 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Kenneth M. Weiss is affiliated with Pennsylvania State University in the United States. Their research spans several interdisciplinary fields with a focus on computing and molecular biology.

The scientist has published work in multiple areas of study including Computer Science, Biochemistry, Genetics and Molecular Biology, and Engineering. Subfields of interest include Genetics, Computer Networks and Communications, Computational Mechanics, Hardware and Architecture, and Atomic and Molecular Physics, and Optics.

Kenneth M. Weiss's work covers a variety of main topics such as:

  • Advanced Data Storage Technologies
  • Parallel Computing and Optimization Techniques
  • Genomic variations and chromosomal abnormalities
  • Electromagnetic Scattering and Analysis
  • Advanced Numerical Analysis Techniques
  • Advanced Numerical Methods in Computational Mathematics
  • Distributed and Parallel Computing Systems

Recent papers authored or co-authored by Kenneth M. Weiss include:

  • Spectral mesh-free quadrature for planar regions bounded by rational parametric curves, 2020, arXiv (Cornell University)
  • Matrix-free approaches for GPU acceleration of a high-order finite element hydrodynamics application using MFEM, Umpire, and RAJA, 2022, The International Journal of High Performance Computing Applications
  • Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes, 2022, arXiv (Cornell University)
  • Biochemical profile, age at diagnosis and patient ancestry are associated with the risk for positive genetic testing for PPGL susceptibility genes, 2025, Endocrine Abstracts
  • SUN-293 Risk For Hereditary PPGL Syndrome In Patients With Family History Varies By Patient Ancestry, 2025, Journal of the Endocrine Society

Kenneth M. Weiss frequently collaborates with several co-authors, including:

  • Arturo Vargas
  • Robert N. Rieben
  • Reut Halperin
  • Gili Reznick-Levi
  • Ayat Khalaileh

The scientist's research has appeared in various publication venues, particularly:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • Endocrine Abstracts
  • Journal of the Endocrine Society

Best Publications

  • The Osteological Paradox: Problems of Inferring Prehistoric Health from Skeletal Samples [and Comments and Reply]

    James W. Wood;George R. Milner;Henry C. Harpending;Kenneth M. Weiss

  • DNA sequence diversity in a 9.7-kb region of the human lipoprotein lipase gene

    Deborah A. Nickerson;Scott L. Taylor;Kenneth M. Weiss;Andrew G. Clark

  • The Settlement of the Americas: A Comparison of the Linguistic, Dental, and Genetic Evidence [and Comments and Reply]

    Joseph H. Greenberg;Christy G. Turner;Stephen L. Zegura;Lyle Campbell

  • How many diseases does it take to map a gene with SNPs

    Kenneth M. Weiss;Joseph D. Terwilliger

  • Native American mitochondrial DNA analysis indicates that the Amerind and the Nadene populations were founded by two independent migrations.

    A Torroni;T G Schurr;C C Yang;E J Szathmary

  • Admixture as a tool for finding linked genes and detecting that difference from allelic association between loci

    Ranajit Chakraborty;Kenneth M. Weiss

  • Haplotype structure and population genetic inferences from nucleotide- sequence variation in human lipoprotein lipase

    Andrew G. Clark;Kenneth M. Weiss;Deborah A. Nickerson;Scott L. Taylor

  • Linkage disequilibrium and the mapping of complex human traits

    Kenneth M. Weiss;Andrew G. Clark

  • Amerindian mitochondrial DNAs have rare Asian mutations at high frequencies, suggesting they derived from four primary maternal lineages

    Theodore G. Schurr;Scott W. Ballinger;Yik Yuen Gan;Judith A. Hodge

  • Linkage disequilibrium mapping of complex disease: fantasy or reality?

    Joseph D Terwilliger;Kenneth M Weiss

  • Apolipoprotein E Variation at the Sequence Haplotype Level: Implications for the Origin and Maintenance of a Major Human Polymorphism

    Stephanie M. Fullerton;Andrew G. Clark;Kenneth M. Weiss;Deborah A. Nickerson

  • A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A cross-population study.

    Valdez R;Seidell Jc;Ahn Yi;Weiss Km

  • Mineralized tissue and vertebrate evolution: the secretory calcium-binding phosphoprotein gene cluster.

    Kazuhiko Kawasaki;Kenneth M. Weiss

  • Demographic Models for Anthropology

    Kenneth M. Weiss

  • The evolution of the vertebrate Dlx gene family

    David W. Stock;Debra L. Ellies;Zhiyong Zhao;Marc Ekker

  • Genetic basis for the evolution of vertebrate mineralized tissue.

    Kazuhiko Kawasaki;Tohru Suzuki;Kenneth M. Weiss

  • A Genomewide Admixture Mapping Panel for Hispanic/Latino Populations

    Xianyun Mao;Abigail W. Bigham;Rui Mei;Gerardo Gutierrez

  • Race, ancestry, and genes: implications for defining disease risk.

    Rick A. Kittles;Kenneth M. Weiss

  • Recombinational and mutational hotspots within the human lipoprotein lipase gene.

    Alan R. Templeton;Andrew G. Clark;Kenneth M. Weiss;Deborah A. Nickerson

  • Sequence Diversity and Large-Scale Typing of SNPs in the Human Apolipoprotein E Gene

    Deborah A. Nickerson;Scott L. Taylor;Stephanie M. Fullerton;Kenneth M. Weiss

Frequent Co-Authors

Ranajit Chakraborty
Ranajit Chakraborty University of North Texas Health Science Center
andrew g clark
andrew g clark Cornell University
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Deborah A. Nickerson
Deborah A. Nickerson University of Washington
Charles F. Sing
Charles F. Sing University of Michigan–Ann Arbor
Peter E. Smouse
Peter E. Smouse Rutgers, The State University of New Jersey
Veikko Salomaa
Veikko Salomaa Finnish Institute for Health and Welfare
Joseph D. Terwilliger
Joseph D. Terwilliger Columbia University
Partha P. Majumder
Partha P. Majumder Indian Statistical Institute
Joan T. Richtsmeier
Joan T. Richtsmeier Pennsylvania State University

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