World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
64
Citations
25693
World Ranking
2750
National Ranking
1209

Terry Gaasterland 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 Terry Gaasterland 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: 177 publications — 41st percentile

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

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

Terry Gaasterland 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 Terry Gaasterland 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: 64 D-Index — 37th percentile

37% 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

  • 2018 - Fellow of the International Society for Computational Biology
  • 2009 - ACM Senior Member

Overview

Terry Gaasterland is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields, prominently Medicine and Biochemistry, Genetics and Molecular Biology, with a notable focus on Molecular Biology, Ophthalmology, Oncology, Pulmonary and Respiratory Medicine, and Ecology.

The scientist's main topics of study include:

  • Glaucoma and retinal disorders
  • Prostate Cancer Treatment and Research
  • Wnt/β-catenin signaling in development and cancer
  • Cancer-related gene regulation
  • Cancer Immunotherapy and Biomarkers
  • Cancer Cells and Metastasis
  • Cancer, Stress, Anesthesia, and Immune Response

Terry Gaasterland has published several research articles in various venues. Recent papers include:

  • "Selective activation of FZD7 promotes mesendodermal differentiation of human pluripotent stem cells," 2020, eLife
  • "Novel Dormancy Mechanism of Castration Resistance in Bone Metastatic Prostate Cancer Organoids," 2022, International Journal of Molecular Sciences
  • "A Machine Learning Method to Identify Genetic Variants Potentially Associated With Alzheimer's Disease," 2021, Frontiers in Genetics
  • "Dominance of Sulfurospirillum in Metagenomes Associated with the Methane Ice Worm (Sirsoe methanicola)," 2022, Applied and Environmental Microbiology
  • "Dynamic transcriptome landscape in the song nucleus HVC between juvenile and adult zebra finches," 2020, Advanced Genetics

The scientist has collaborated frequently with several researchers, including Michelle Muldong, Nicholas A. Cacalano, Anna Kulidjian, Christina Jamieson, and Jamillah Murtadha.

Publication venues where Terry Gaasterland has appeared repeatedly include:

  • UNC Libraries
  • The Journal of Urology
  • Cancer Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • eLife

In terms of scholarly contributions beyond articles, Terry Gaasterland has authored a book titled "Mathematical and Computational Oncology," published by Springer Science+Business Media in 2021.

Their recognition includes becoming a Fellow of the International Society for Computational Biology in 2018 and being awarded the ACM Senior Member status in 2009.

Best Publications

  • Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

    Alvis Brazma;Pascal Hingamp;John Quackenbush;Gavin Sherlock

  • Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

    Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi

  • The complete genome of the hyperthermophilic bacterium Aquifex aeolicus

    Gerard Deckert;Patrick V. Warren;Terry Gaasterland;William G. Young

  • The genome of the sea urchin Strongylocentrotus purpuratus.

    Erica Sodergren;George M. Weinstock;Eric H. Davidson;R. Andrew Cameron

  • The small RNA profile during Drosophila melanogaster development

    Alexei A. Aravin;Mariana Lagos-Quintana;Abdullah Yalcin;Mihaela Zavolan

  • The complete genome of the crenarchaeon Sulfolobus solfataricus P2.

    Qunxin She;Rama K. Singh;Fabrice Confalonieri;Yvan Zivanovic

  • Functional annotation of a full-length mouse cDNA collection

    J. Kawai;A. Shinagawa;K. Shibata;M. Yoshino

  • The tiny eukaryote Ostreococcus provides genomic insights into the paradox of plankton speciation

    Brian Palenik;Jane Grimwood;Andrea Aerts;Pierre Rouzé

  • Reprogramming of the Macrophage Transcriptome in Response to Interferon-γ and Mycobacterium tuberculosis Signaling Roles of Nitric Oxide Synthase-2 and Phagocyte Oxidase

    Sabine Ehrt;Dirk Schnappinger;Stefan Bekiranov;Jorg Drenkow

  • An RNA map predicting Nova-dependent splicing regulation

    Jernej Ule;Giovanni Stefani;Giovanni Stefani;Aldo Mele;Matteo Ruggiu

  • Prediction and identification of Arabidopsis thaliana microRNAs and their mRNA targets

    Xiu-Jie Wang;José L Reyes;Nam-Hai Chua;Terry Gaasterland

  • Structural genomics: beyond the human genome project.

    Stephen K. Burley;Stephen K. Burley;Steven C. Almo;Jeffrey B. Bonanno;Jeffrey B. Bonanno;Malcolm Capel

  • The analysis of 100 genes supports the grouping of three highly divergent amoebae: Dictyostelium, Entamoeba, and Mastigamoeba

    Eric Bapteste;Henner Brinkmann;Jennifer A. Lee;Dorothy V. Moore

  • Spliced leader RNA trans-splicing in dinoflagellates.

    Huan Zhang;Yubo Hou;Lilibeth Miranda;David A. Campbell

  • Complete Sequence of a 184-Kilobase Catabolic Plasmid from Sphingomonas aromaticivorans F199

    Margaret F. Romine;Lisa C. Stillwell;Kwong Kwok Wong;Sarah J. Thurston

  • Common Variants at 9p21 and 8q22 Are Associated with Increased Susceptibility to Optic Nerve Degeneration in Glaucoma

    Janey L. Wiggs;Brian L. Yaspan;Michael A. Hauser;Jae H. Kang

  • Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana

    Xiu-Jie Wang;Xiu-Jie Wang;Terry Gaasterland;Terry Gaasterland;Nam-Hai Chua

  • An overview of cooperative answering

    Terry Gaasterland;Parke Godfrey;Jack Minker

  • Prediction and identification of herpes simplex virus 1-encoded microRNAs

    Can Cui;Anthony Griffiths;Guanglin Li;Lindsey M. Silva

  • Genome-wide association analysis identifies TXNRD2 , ATXN2 and FOXC1 as susceptibility loci for primary open-angle glaucoma

    Jessica N.Cooke Bailey;Stephanie J. Loomis;Jae H. Kang;R. Rand Allingham

Frequent Co-Authors

Christoph Wilhelm Sensen
Christoph Wilhelm Sensen Graz University of Technology
Louis R. Pasquale
Louis R. Pasquale Icahn School of Medicine at Mount Sinai
Janey L. Wiggs
Janey L. Wiggs Massachusetts Eye and Ear Infirmary
Michael A. Hauser
Michael A. Hauser Duke University
Yutao Liu
Yutao Liu Augusta University
Donald J. Zack
Donald J. Zack Johns Hopkins University School of Medicine
Robert N. Weinreb
Robert N. Weinreb University of California, San Diego
Joel S. Schuman
Joel S. Schuman Wills Eye Hospital
Margaret A. Pericak-Vance
Margaret A. Pericak-Vance University of Miami
Julia E. Richards
Julia E. Richards University of Michigan–Ann Arbor

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Related Online Degrees & Career Pathways

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