World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
72
Citations
27379
World Ranking
6151
National Ranking
2891

Ching-Ti Liu 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 Ching-Ti Liu 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: 269 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Ching-Ti Liu 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 Ching-Ti Liu 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: 72 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the American Statistical Association (ASA)

Overview

Ching-Ti Liu is affiliated with Boston University in the United States and has contributed extensively to research in the fields of biochemistry, genetics, molecular biology, and medicine. Their research spans various subfields including genetics, molecular biology, epidemiology, endocrinology, diabetes and metabolism, and public health. The scientist's work has focused on topics such as genetic associations and epidemiology, epigenetics and DNA methylation, bioinformatics and genomic networks, nutrition, genetics and disease, liver disease diagnosis and treatment, birth development and health, and genetic mapping and diversity in plants and animals.

Among the recent papers authored by Ching-Ti Liu are:

  • Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention, 2022, Nature Genetics
  • A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation, 2022, Nature Genetics
  • Small Dense Low-Density Lipoprotein Cholesterol Is the Most Atherogenic Lipoprotein Parameter in the Prospective Framingham Offspring Study, 2021, Journal of the American Heart Association
  • Comparison of Proteomic Assessment Methods in Multiple Cohort Studies, 2020, PROTEOMICS
  • Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability, 2021, Nature Communications

Frequent publication venues for Ching-Ti Liu include:

  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Circulation
  • Nature Communications
  • Atherosclerosis

Ching-Ti Liu has collaborated regularly with several co-authors, among whom are Xiuqing Guo, Jerome I. Rotter, Stephen S. Rich, Kent D. Taylor, and Jennifer A. Smith. These collaborations indicate an active involvement in multi-author research projects commonly found in genetics and medical research fields.

In 2020, Ching-Ti Liu received recognition as a Fellow of the American Statistical Association (ASA).

Best Publications

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

    Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson

  • Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    Karol Estrada;Unnur Styrkarsdottir;Evangelos Evangelou;Yi-Hsiang Hsu

  • 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

  • A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

    Alisa K. Manning;Alisa K. Manning;Alisa K. Manning;Robert A. Scott;Jonna L. Grimsby

  • 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

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • 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.

  • Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.

    Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada

  • Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

    A Giri;J N Hellwege;J M Keaton;J M Keaton;J Park

  • 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

  • Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

    Kyle J Gaulton;Kyle J Gaulton;Teresa Ferreira;Yeji Lee;Anne Raimondo

  • Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis

    Eleanor Wheeler;Aaron Leong;Ching-Ti Liu;Marie-France Hivert

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

  • Genome-wide Association Study in 79,366 European-ancestry Individuals Informs the Genetic Architecture of 25-Hydroxyvitamin D Levels

    Xia Jiang;Xia Jiang;Paul F. O'Reilly;Hugues Aschard;Hugues Aschard;Yi Hsiang Hsu;Yi Hsiang Hsu

  • Cortical and trabecular bone microarchitecture as an independent predictor of incident fracture risk in older women and men in the Bone Microarchitecture International Consortium (BoMIC): a prospective study

    Elizabeth J Samelson;Kerry E Broe;Hanfei Xu;Laiji Yang

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk (vol 49, pg 403, 2017)

    HR Warren;E Evangelou;CP Cabrera;H Gao

  • 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

Frequent Co-Authors

Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
L. Adrienne Cupples
L. Adrienne Cupples Boston University
Bruce M. Psaty
Bruce M. Psaty University of Washington
James B. Meigs
James B. Meigs Harvard University
Josée Dupuis
Josée Dupuis McGill University
Jerome I. Rotter
Jerome I. Rotter UCLA Medical Center
Jose C. Florez
Jose C. Florez Harvard University
Xiuqing Guo
Xiuqing Guo Lundquist Institute
Daniel I. Chasman
Daniel I. Chasman Brigham and Women's Hospital
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam

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