World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
47
Citations
47240
World Ranking
18515
National Ranking
7557

Yunxin Fu 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 Yunxin Fu 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: 134 publications — 19th percentile

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

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

Yunxin Fu 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 Yunxin Fu 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: 47 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Yunxin Fu is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a notable focus on Molecular Biology, Genetics, Infectious Diseases, Computational Theory and Mathematics, and Epidemiology.

The scientist's main research topics include:

  • Protein Structure and Dynamics
  • Evolution and Genetic Dynamics
  • Genetic diversity and population structure
  • SARS-CoV-2 and COVID-19 Research
  • Computational Drug Discovery Methods
  • Protist diversity and phylogeny
  • Monoclonal and Polyclonal Antibodies Research

Yunxin Fu has contributed to multiple scientific publications across several reputable venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genome biology
  • International Journal of Molecular Sciences
  • Theoretical Population Biology
  • Genome Biology and Evolution

Recent papers authored or co-authored by Yunxin Fu are:

  • Stairway Plot 2: demographic history inference with folded SNP frequency spectra, 2020, Genome biology
  • Genomic inference of a severe human bottleneck during the Early to Middle Pleistocene transition, 2023, Science
  • Mycobacterium tuberculosis clinical isolates carry mutational signatures of host immune environments, 2020, Science Advances
  • A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2, 2021, Computational and Mathematical Methods in Medicine
  • Exploring the Cold-Adaptation Mechanism of Serine Hydroxymethyltransferase by Comparative Molecular Dynamics Simulations, 2021, International Journal of Molecular Sciences

Collaborative work is also significant in Yunxin Fu's career. Frequent co-authors include:

  • Shu-Qun Liu
  • Yuan-Ling Xia
  • Zhi-Bi Zhang
  • Jianxin Shen
  • Wen-Wen Du

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection.

    Yun-Xin Fu

  • Statistical tests of neutrality of mutations

    Yun-Xin Fu;Wen-Hsiung Li

  • A global reference for human genetic variation

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • Maximum likelihood estimation of the heterogeneity of substitution rate among nucleotide sites.

    Xun Gu;Yun-Xin Fu;Wen-Hsiung Li

  • Statistical Properties of Segregating Sites

    Yun-Xin Fu

  • Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL

    Stefano Romeo;Len A Pennacchio;Len A Pennacchio;Yunxin Fu;Eric Boerwinkle

  • Exploring population size changes using SNP frequency spectra

    Xiaoming Liu;Yun-Xin Fu

  • New Statistical Tests of Neutrality for DNA Samples from a Population

    Yun Xin Fu

  • Statistical Tests for Detecting Positive Selection by Utilizing High-Frequency Variants

    Kai Zeng;Yunxin Fu;Yunxin Fu;Suhua Shi;Chung I. Wu

  • Moderate mutation rate in the SARS coronavirus genome and its implications.

    Zhongming Zhao;Haipeng Li;Xiaozhuang Wu;Yixi Zhong

  • Stairway Plot 2: demographic history inference with folded SNP frequency spectra.

    Xiaoming Liu;Yun-Xin Fu

  • Investigating single nucleotide polymorphism (SNP) density in the human genome and its implications for molecular evolution

    Zhongming Zhao;Yun-Xin Fu;David Hewett-Emmett;Eric Boerwinkle

  • Genetic relationship of Chinese ethnic populations revealed by mtDNA sequence diversity

    Yong Gang Yao;Long Nie;Henry Harpending;Yunxin Fu

  • Preservation of duplicate genes by originalization

    Cheng Xue;Yunxin Fu;Yunxin Fu

  • Worldwide DNA sequence variation in a 10-kilobase noncoding region on human chromosome 22

    Zhongming Zhao;Li Jin;Yun Xin Fu;Michele Ramsay

  • Maximum likelihood estimation of population parameters.

    Yun-Xin Fu;Wen-Hsiung Li

  • Protein dynamics and motions in relation to their functions: several case studies and the underlying mechanisms

    Li Quan Yang;Peng Sang;Yan Tao;Yunxin Fu

  • Estimating the age of the common ancestor of a sample of DNA sequences.

    Yunxin Fu;Wen Hsiung Li

  • Population structure and history in East Asia

    Yuan Chun Ding;Stephen Wooding;Henry C. Harpending;Han Chang Chi

Frequent Co-Authors

Ya-Ping Zhang
Ya-Ping Zhang Kunming Institute of Zoology
Wen-Hsiung Li
Wen-Hsiung Li Academia Sinica
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Chung-I Wu
Chung-I Wu Sun Yat-sen University
Ke-Qin Zhang
Ke-Qin Zhang Yunnan University
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Lynn B. Jorde
Lynn B. Jorde University of Utah
Oliver A. Ryder
Oliver A. Ryder University of California, San Diego
James M. Musser
James M. Musser Houston Methodist
Ranajit Chakraborty
Ranajit Chakraborty University of North Texas Health Science Center

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Biology and Biochemistry opens doors to diverse online degrees and career opportunities in the health and science sectors. For students interested in understanding the role of nutrition in human health, an online nutritionist degree can be a valuable option to build expertise in wellness and dietary science.

Those looking to move into leadership or administrative positions might consider enrolling in top cahme-accredited mha programs, which are designed to prepare graduates for high-level management roles in healthcare organizations.

For nursing professionals, pursuing a dnp program without clinical hours can offer more flexibility while still providing advanced clinical knowledge and leadership skills.

Interested in research or academia? An online phd in healthcare management prepares graduates for careers focused on innovation and policy in health systems.

These pathways equip students from Biology and Biochemistry backgrounds with the credentials and knowledge to thrive in ever-evolving healthcare fields.

Best Scientists Citing Yunxin Fu

Trending Scientists

Recently Published Articles