World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
55
Citations
16360
World Ranking
3550
National Ranking
1541

Päivi Pajukanta 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 Päivi Pajukanta 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: 175 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.

Päivi Pajukanta 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 Päivi Pajukanta 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: 55 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Päivi Pajukanta is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple disciplines, primarily focusing on Medicine and Biochemistry, Genetics and Molecular Biology, with significant contributions in subfields including Molecular Biology, Epidemiology, Physiology, Genetics, and Cardiology and Cardiovascular Medicine.

The scientist's work covers a range of topics, reflecting a broad interest in complex biological systems and disease mechanisms. Key areas of study include:

  • Genetic Associations and Epidemiology
  • Adipokines, Inflammation, and Metabolic Diseases
  • Adipose Tissue and Metabolism
  • Liver Disease Diagnosis and Treatment
  • Single-cell and spatial transcriptomics
  • Cardiovascular Disease and Adiposity
  • RNA modifications and cancer

Pajukanta has authored several research papers notable for their focus on single-cell techniques, obesity, metabolic diseases, and liver cancer. Some of the recent papers include:

  • Accurate estimation of cell composition in bulk expression through robust integration of single-cell information, 2020, Nature Communications
  • Single-cell dissection of the obesity-exercise axis in adipose-muscle tissues implies a critical role for mesenchymal stem cells, 2022, Cell Metabolism
  • Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM, 2020, Scientific Reports
  • Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival, 2022, Genome Medicine
  • Molecular pathways behind acquired obesity: Adipose tissue and skeletal muscle multiomics in monozygotic twin pairs discordant for BMI, 2021, Cell Reports Medicine

The scientist has collaborated frequently with colleagues in related fields. Among the most frequent co-authors are:

  • Marcus Alvarez
  • Markku Laakso
  • Kirsi H. Pietiläinen
  • Dorota Kamińska
  • Karen L. Mohlke

Pajukanta's research outputs have been published in a variety of venues, with a concentration in several journals and repositories including:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Genome Medicine
  • The American Journal of Human Genetics

Best Publications

  • Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society

    Borge G. Nordestgaard;M. John Chapman;Steve E. Humphries;Henry N. Ginsberg

  • Integrative approaches for large-scale transcriptome-wide association studies.

    Alexander Gusev;Alexander Gusev;Arthur Ko;Huwenbo Shi;Gaurav Bhatia;Gaurav Bhatia

  • Homozygous familial hypercholesterolaemia: new insights and guidance for clinicians to improve detection and clinical management. A position paper from the Consensus Panel on Familial Hypercholesterolaemia of the European Atherosclerosis Society

    Marina Cuchel;Eric Bruckert;Henry N. Ginsberg;Frederick J. Raal

  • Familial Hypercholesterolaemia in Children and Adolescents: Gaining Decades of Life by Optimizing Detection and Treatment

    Albert Wiegman;Samuel S. Gidding;Gerald F Watts;M John Chapman

  • Homozigot ailevi hiperkolesterolemi: klinisyenlerin tanıyı ve klinik yönetimi geliştirmelerine yönelik yeni anlayışlar ve rehberlik. Avrupa Ateroskleroz Derneği’nin Ailevi Hiperkolesterolemi Üzerine Uzlaşı Paneli yazılı görüşü

    Marina Cuchel;Eric Bruckert;Henry N. Ginsberg;Frederick J. Raal

  • The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management

    Robert A. Hegele;Henry N. Ginsberg;M. John Chapman;Børge G. Nordestgaard

  • Genetics of atherosclerosis.

    Aldons J. Lusis;Rebecca Mar;Päivi Pajukanta

  • Familial combined hyperlipidemia is associated with upstream transcription factor 1 ( USF1 )

    Päivi Pajukanta;Heidi E Lilja;Janet S Sinsheimer;Rita M Cantor

  • Accurate estimation of cell composition in bulk expression through robust integration of single-cell information.

    Brandon Jew;Marcus Alvarez;Elior Rahmani;Zong Miao

  • Linkage of familial combined hyperlipidaemia to chromosome 1q21-q23

    Päivi Pajukanta;Ilpo Nuotio;Joseph D. Terwilliger;Kimmo V.K. Porkka

  • Mutations in LMF1 cause combined lipase deficiency and severe hypertriglyceridemia.

    Miklós Péterfy;Osnat Ben-Zeev;Hui Z Mao;Hui Z Mao;Daphna Weissglas-Volkov

  • Hyperglycemia and a Common Variant of GCKR Are Associated With the Levels of Eight Amino Acids in 9,369 Finnish Men

    Alena Stančáková;Mete Civelek;Niyas K. Saleem;Pasi Soininen

  • Genetic causes of high and low serum HDL-cholesterol.

    Daphna Weissglas-Volkov;Päivi Pajukanta

  • Genomewide Scan for Familial Combined Hyperlipidemia Genes in Finnish Families, Suggesting Multiple Susceptibility Loci Influencing Triglyceride, Cholesterol, and Apolipoprotein B Levels

    Päivi Pajukanta;Joseph D. Terwilliger;Markus Perola;Tero Hiekkalinna

  • Two Loci on Chromosomes 2 and X for Premature Coronary Heart Disease Identified in Early- and Late-Settlement Populations of Finland

    Päivi Pajukanta;Michele Cargill;Laura Viitanen;Ilpo Nuotio

  • The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.

    Markku Laakso;Johanna Kuusisto;Alena Stancakova;Teemu Kuulasmaa

  • A systems genetics approach implicates USF1, FADS3, and other causal candidate genes for familial combined hyperlipidemia.

    Christopher L. Plaisier;Steve Horvath;Adriana Huertas-Vazquez;Ivette Cruz-Bautista

  • The SLC6A14 gene shows evidence of association with obesity

    Elina Suviolahti;Laura J. Oksanen;Miina Öhman;Rita M. Cantor

  • Genome-wide scan of predisposing loci for increased diastolic blood pressure in Finnish siblings.

    Markus Perola;Katariina Kainulainen;Päivi Pajukanta;Joseph D. Terwilliger

  • Thematic Review Series: Genetics of Human Lipid Diseases Genetic causes of high and low serum HDL-cholesterol

    Daphna Weissglas-Volkov;Päivi Pajukanta

Frequent Co-Authors

Markku Laakso
Markku Laakso University of Eastern Finland
Marja-Riitta Taskinen
Marja-Riitta Taskinen University of Helsinki
Aldons J. Lusis
Aldons J. Lusis University of California, Los Angeles
Janet S. Sinsheimer
Janet S. Sinsheimer University of California, Los Angeles
Kirsi H. Pietiläinen
Kirsi H. Pietiläinen University of Helsinki
Rita M. Cantor
Rita M. Cantor University of California, Los Angeles
Johanna Kuusisto
Johanna Kuusisto University of Eastern Finland
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Jaakko Kaprio
Jaakko Kaprio University of Helsinki
Karen L. Mohlke
Karen L. Mohlke University of North Carolina at Chapel Hill

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