World's Best Scientists 2026 revealed!

Ying Wu 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 Ying Wu 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+

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

Ying Wu 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 Ying Wu 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+

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

Overview

Ying Wu is affiliated with the University of North Carolina at Chapel Hill in the United States and specializes in the field of Engineering with a focus on Electrical and Electronic Engineering. Their research spans several subfields including Biomedical Engineering, Atmospheric Science, Mechanics of Materials, and Aerospace Engineering.

Their recent publications demonstrate work on various advanced technologies, especially in analog and mixed-signal circuit design as well as radio frequency integrated circuit design. Notable papers include:

  • A Time-Domain 147fsrms 2.5-MHz Bandwidth Two-Step Flash-MASH 1-1-1 Time-to-Digital Converter With Third-Order Noise-Shaping and Mismatch Correction (2020, IEEE Transactions on Circuits and Systems I Regular Papers)
  • Improved Kalman Filter for MEMS Thermal Mass Flowmeter (2020, 2020 IEEE 3rd International Conference of Safe Production and Informatization - IICSPI)
  • Development of frequency synthesizer for Ku band surface surveillance radar (2020, 2020 IEEE 3rd International Conference of Safe Production and Informatization - IICSPI)

Ying Wu frequently publishes in venues such as the 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI) and IEEE Transactions on Circuits and Systems I Regular Papers.

Their coauthors reflect a collaborative research approach and include:

  • Genli Liu
  • Yuan Zhai
  • Ping Lu
  • Robert Bogdan Staszewski
  • Jinliang Shi

The main topics covered by Ying Wu's research are diverse and include:

  • Advancements in PLL and VCO Technologies
  • Analog and Mixed-Signal Circuit Design
  • Radio Frequency Integrated Circuit Design
  • Cryospheric studies and observations
  • Flow Measurement and Analysis
  • Inertial Sensor and Navigation
  • Advanced Frequency and Time Standards

This range of topics indicates research activity in both foundational and applied aspects of circuit and sensor technology, as well as involvement in atmospheric and cryospheric studies.

Best Publications

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

    Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • The trans-ancestral genomic architecture of glycemic traits

    Ji Chen;Ji Chen;Cassandra N. Spracklen;Cassandra N. Spracklen;Gaëlle Marenne;Gaëlle Marenne;Arushi Varshney

  • Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    Yoon Shin Cho;Chien Hsiun Chen;Chien Hsiun Chen;Cheng Hu;Jirong Long

  • Physical activity attenuates the influence of FTO variants on obesity risk: A meta-analysis of 218,166 adults and 19,268 children

    Tuomas O. Kilpeläinen;Lu Qi;Soren Brage;Stephen J. Sharp

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day

  • Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

    Z Dastani;Hivert M-F.;Hivert M-F.;N Timpson;Perry Jrb.;Perry Jrb.

  • Genome-wide associations for birth weight and correlations with adult disease

    Momoko Horikoshi;Robin N. Beaumont;Felix R. Day;Nicole M. Warrington;Nicole M. Warrington

  • The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals

    Georg B. Ehret;Georg B. Ehret;Teresa Ferreira;Daniel I. Chasman;Anne U. Jackson

  • Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.

    S Ligthart;A Vaez;U Võsa;M G Stathopoulou

  • Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

    Valérie Turcot;Yingchang Lu;Yingchang Lu;Heather M Highland;Heather M Highland;Claudia Schurmann

  • Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation

    Norihiro Kato;Marie Loh;Marie Loh;Marie Loh;Fumihiko Takeuchi;Niek Verweij

  • New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism.

    Momoko Horikoshi;Hanieh Yaghootkar;Dennis O. Mook-Kanamori;Dennis O. Mook-Kanamori;Ulla Sovio;Ulla Sovio

  • Variants in the Fat Mass–and Obesity-Associated (FTO) Gene Are Not Associated With Obesity in a Chinese Han Population

    Huaixing(黎怀星) Li;Ying Wu;Ruth J. F. Loos;Frank B. Hu

  • Common Variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE Genes Are Associated With Type 2 Diabetes and Impaired Fasting Glucose in a Chinese Han Population

    Ying Wu;Huaixing(黎怀星) Li;Ruth J. F. Loos;Zhijie Yu

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

    Momoko Horikoshi;Hanieh Yaghootkar;Dennis O. Mook-Kanamori;Ulla Sovio

Frequent Co-Authors

Karen L. Mohlke
Karen L. Mohlke University of North Carolina at Chapel Hill
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Andrew P. Morris
Andrew P. Morris University of Liverpool
Linda S. Adair
Linda S. Adair University of North Carolina at Chapel Hill
Michael Boehnke
Michael Boehnke University of Michigan–Ann Arbor
Jaspal S. Kooner
Jaspal S. Kooner Imperial College London
Zoltán Kutalik
Zoltán Kutalik University of Lausanne
Johanna Kuusisto
Johanna Kuusisto University of Eastern Finland
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam

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