World's Best Scientists 2026 revealed!
Yuri Nikolsky

Yuri Nikolsky

D-Index & Metrics

Biology and Biochemistry

D-Index
53
Citations
29389
World Ranking
15879
National Ranking
6595

Yuri Nikolsky publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Yuri Nikolsky sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 94 publications — 4th percentile

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

The last bar groups every scientist with 1,028 publications or more.

Yuri Nikolsky D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Yuri Nikolsky sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 53 D-Index — 19th percentile

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

The last bar groups every scientist with 167 D-Index or more.

Overview

Yuri Nikolsky is affiliated with F1 Genomics in the United States, where they contribute to research in genomics and related fields. Their work is associated with this institution, a detail that situates their scientific activity within the American genomics research landscape.

While there are no recent papers listed for Yuri Nikolsky, the profile indicates involvement in scientific research, suggesting ongoing or past contributions to their area of expertise.

There are no listed frequent co-authors or publication venues linked to Yuri Nikolsky, which implies either a solo or less collaborative approach or no specific pattern of repeated partnerships and journal preferences documented.

No book publications are recorded for this scientist, indicating their focus may primarily be on journal articles or other scientific outputs.

Data on main fields of study, subfields of study, and main topics of work are not available, limiting the ability to specify particular research domains within genomics or related disciplines.

Best Publications

  • An Integrated Genomic Analysis of Human Glioblastoma Multiforme

    D. Williams Parsons;Siân Jones;Xiaosong Zhang;Jimmy Cheng-Ho Lin

  • Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses

    Siân Jones;Xiaosong Zhang;D. Williams Parsons;D. Williams Parsons;Jimmy Cheng Ho Lin

  • Genomic landscapes of human breast and colorectal cancers

    Laura D. Wood;Williams D. Parsons;Sian Jones;Jimmy Lin

  • Molecular Definition of Breast Tumor Heterogeneity

    Michail Shipitsin;Lauren L. Campbell;Pedram Argani;Stanislawa Weremowicz

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • The JAK2/STAT3 signaling pathway is required for growth of CD44+CD24– stem cell–like breast cancer cells in human tumors

    Lauren L.C. Marotta;Vanessa Almendro;Vanessa Almendro;Andriy Marusyk;Michail Shipitsin

  • The Genetic Landscape of the Childhood Cancer Medulloblastoma

    D. Williams Parsons;D. Williams Parsons;Meng Li;Xiaosong Zhang;Siân Jones

  • Regulation of In Situ to Invasive Breast Carcinoma Transition

    Min Qi Hu;Jun Yao;Danielle K. Carroll;Stanislawa Weremowicz

  • The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

    Charles Wang;Binsheng Gong;Pierre R. Bushel;Jean Thierry-Mieg

  • Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.

    Wenqian Zhang;Ying Yu;Falk Hertwig;Falk Hertwig;Jean Thierry-Mieg

  • A meiotic recombination checkpoint controlled by mitotic checkpoint genes

    David Lydall;Yuri Nikolsky;Douglas K. Bishop;Ted Weinert

  • Integrated analysis of homozygous deletions, focal amplifications, and sequence alterations in breast and colorectal cancers

    Rebecca J. Leary;Jimmy C. Lin;Jordan Cummins;Simina Boca

  • A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages.

    Ying Yu;James C. Fuscoe;Chen Zhao;Chao Guo

  • Pathway mapping tools for analysis of high content data.

    Sean Ekins;Yuri Nikolsky;Andrej Bugrim;Eugene Kirillov

  • Atherosclerosis and liver inflammation induced by increased dietary cholesterol intake: a combined transcriptomics and metabolomics analysis

    Robert Kleemann;Lars Verschuren;Marjan J van Erk;Yuri Nikolsky

  • Cell type-specific DNA methylation patterns in the human breast

    Noga Bloushtain-Qimron;Noga Bloushtain-Qimron;Jun Yao;Eric L. Snyder;Michail Shipitsin

  • Early prediction of drug metabolism and toxicity: systems biology approach and modeling

    Andrej Bugrim;Tatiana Nikolskaya;Yuri Nikolsky

  • Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

    Vlad Popovici;Weijie Chen;Brandon G Gallas;Christos Hatzis

  • Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach

    Dorothea Emig;Alexander Ivliev;Olga Pustovalova;Lee Lancashire

  • A comprehensive functional analysis of tissue specificity of human gene expression

    Zoltán Dezső;Yuri Nikolsky;Evgeny Sviridov;Weiwei Shi

Frequent Co-Authors

Leming Shi
Leming Shi Fudan University
Kornelia Polyak
Kornelia Polyak Harvard University
Weida Tong
Weida Tong National Center for Toxicological Research
Sean Ekins
Sean Ekins University of Arizona
Richard S. Paules
Richard S. Paules National Institutes of Health
Pierre R. Bushel
Pierre R. Bushel National Institutes of Health
Huixiao Hong
Huixiao Hong United States Food and Drug Administration
Hong Fang
Hong Fang National Center for Toxicological Research
Cesare Furlanello
Cesare Furlanello Fondazione Bruno Kessler
Andrea L. Richardson
Andrea L. Richardson Johns Hopkins University

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