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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 46 2771 2513 217 198 81 17126

Beiyuan Fu publications per year

The chart shows the history of publications by Beiyuan Fu between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Beiyuan Fu published across 28 years, from 1998 to 2025, averaging 3.1 papers a year. Output peaked at 8 publications in 2019. 3 of the 88 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 8. Peak 8 publications in 2019. 1998: 2 publications 1999: 1 publication 2000: 2 publications 2001: 1 publication 2002: 2 publications 2003: 2 publications 2004: 3 publications 2005: 1 publication 2006: 3 publications 2007: 3 publications 2008: 2 publications 2009: 1 publication 2010: 2 publications 2011: 2 publications 2012: 3 publications 2013: 5 publications 2014: 5 publications 2015: 7 publications 2016: 6 publications 2017: 5 publications 2018: 7 publications 2019: 8 publications 2020: 1 publication 2021: 5 publications 2022: 3 publications 2023: 3 publications 2024: 2 publications 2025: 1 publication
1998 2025

88 publications in total across all disciplines

View publications per year as a table
Beiyuan Fu: publications per year, 1998 to 2025
Year Publications
1998 2
1999 1
2000 2
2001 1
2002 2
2003 2
2004 3
2005 1
2006 3
2007 3
2008 2
2009 1
2010 2
2011 2
2012 3
2013 5
2014 5
2015 7
2016 6
2017 5
2018 7
2019 8
2020 1
2021 5
2022 3
2023 3
2024 2
2025 1
Total 88
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Beiyuan Fu publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Beiyuan Fu sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 77–86 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 81 publications — 4th percentile

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

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90 81
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Beiyuan Fu D-index placement in Molecular Biology in 2026

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

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 46–47 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 46 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121 46
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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Overview

Beiyuan Fu is a researcher affiliated with the Wellcome Sanger Institute in the United Kingdom. Their work primarily spans the fields of Biochemistry, Genetics and Molecular Biology, with additional contributions to Agricultural and Biological Sciences. Within these areas, their research focuses on several subfields including Molecular Biology, Plant Science, Genetics, Cancer Research, and Parasitology.

The research topics covered by Beiyuan Fu include:

  • Chromosomal and Genetic Variations
  • CRISPR and Genetic Engineering
  • Genomics and Phylogenetic Studies
  • Cancer Genomics and Diagnostics
  • DNA Repair Mechanisms
  • Parasites and Host Interactions
  • Epigenetics and DNA Methylation

Their recent publications demonstrate a breadth of interest in genetics and genomic technologies. These include:

  • "Combinatorial CRISPR screen identifies fitness effects of gene paralogues," 2021, Nature Communications
  • "Simultaneous sequencing of genetic and epigenetic bases in DNA," 2023, Nature Biotechnology
  • "Population Structure, Stratification, and Introgression of Human Structural Variation," 2020, Cell
  • "Assembled chromosomes of the blood fluke Schistosoma mansoni provide insight into the evolution of its ZW sex-determination system," 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • "Genetic determinants of micronucleus formation in vivo," 2024, Nature

These works address topics ranging from CRISPR screening and genetic fitness effects to epigenetic sequencing and structural variation in human populations. The research on Schistosoma mansoni adds an aspect of parasitology relevant to host-parasite interactions and sex-determination mechanisms.

Frequent co-authors who have collaborated multiple times with Beiyuan Fu include:

  • Fengtang Yang
  • David J. Adams
  • Sarah K. Buddenborg
  • Alan Tracey
  • Duncan Berger

Beiyuan Fu's publications are commonly found in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Nature Biotechnology
  • Cell

Their work intersects multiple disciplines that merge genetics with molecular biology, cancer diagnostics, and the study of epigenetic processes, contributing to ongoing scientific discussions in these areas.

Best Publications

  • The zebrafish reference genome sequence and its relationship to the human genome.

    Kerstin Howe;Matthew D. Clark;Carlos F. Torroja;Carlos F. Torroja;James Torrance

  • Massive Genomic Rearrangement Acquired in a Single Catastrophic Event during Cancer Development

    Philip J. Stephens;Chris D. Greenman;Beiyuan Fu;Fengtang Yang

  • Signatures of mutation and selection in the cancer genome

    Graham R. Bignell;Chris D. Greenman;Helen Davies;Adam P. Butler

  • Human blood vessel organoids as a model of diabetic vasculopathy

    Reiner A. Wimmer;Alexandra Leopoldi;Martin Aichinger;Nikolaus Wick

  • Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes

    Sebastian Mueller;Thomas Engleitner;Thomas Engleitner;Roman Maresch;Roman Maresch;Magdalena Zukowska

  • Shieldin complex promotes DNA end-joining and counters homologous recombination in BRCA1-null cells.

    Harveer Dev;Harveer Dev;Ting-Wei Will Chiang;Chloe Lescale;Inge de Krijger

  • Genome Sequencing and Analysis of the Tasmanian Devil and Its Transmissible Cancer

    Elizabeth P. Murchison;Ole B. Schulz-Trieglaff;Zemin Ning;Ludmil B. Alexandrov

  • Establishment of porcine and human expanded potential stem cells

    Xuefei Gao;Xuefei Gao;Monika Nowak-Imialek;Monika Nowak-Imialek;Xi Chen;Dongsheng Chen

  • Establishment of mouse expanded potential stem cells

    Jian Yang;David J. Ryan;Wei Wang;Jason Cheuk-Ho Tsang

  • Transmissible Dog Cancer Genome Reveals the Origin and History of an Ancient Cell Lineage

    Elizabeth P. Murchison;Elizabeth P. Murchison;David C. Wedge;Ludmil B. Alexandrov;Beiyuan Fu

  • CRISPR/Cas9 somatic multiplex-mutagenesis for high-throughput functional cancer genomics in mice

    Julia Weber;Julia Weber;Rupert Öllinger;Mathias Friedrich;Ursula Ehmer

  • Sixteen diverse laboratory mouse reference genomes define strain-specific haplotypes and novel functional loci

    Jingtao Lilue;Jingtao Lilue;Anthony G Doran;Anthony G Doran;Ian T Fiddes;Monica Abrudan

  • Reciprocal chromosome painting among human, aardvark, and elephant (superorder Afrotheria) reveals the likely eutherian ancestral karyotype

    F. Yang;E. Z. Alkalaeva;P. L. Perelman;A. T. Pardini

  • Refined genome-wide comparative map of the domestic horse, donkey and human based on cross-species chromosome painting: insight into the occasional fertility of mules.

    Fengtang Yang;Beiyuan Fu;Patricia C. M. O'Brien;Wenhui Nie

  • Factor V Leiden and thermolabile methylenetetrahydrofolate reductase gene variants in an East Anglian preeclampsia cohort.

    Kevin M. O’Shaughnessy;Beiyuan Fu;Franco Ferraro;Ian Lewis

  • ATM orchestrates the DNA-damage response to counter toxic non-homologous end-joining at broken replication forks

    Gabriel Balmus;Domenic Pilger;Julia Coates;Mukerrem Demir

  • Estimation of rearrangement phylogeny for cancer genomes

    Chris D. Greenman;Chris D. Greenman;Erin D. Pleasance;Scott Newman;Fengtang Yang

  • Obesity, starch digestion and amylase: association between copy number variants at human salivary (AMY1) and pancreatic (AMY2) amylase genes

    Danielle Carpenter;Sugandha Dhar;Laura M. Mitchell;Beiyuan Fu

  • Cross-species chromosome painting

    Malcolm A. Ferguson-Smith;Stefan Muller;Johannes Friederich Wienberg

  • Cross-species chromosome painting among camel, cattle, pig and human: further insights into the putative Cetartiodactyla ancestral karyotype

    Gabriel Balmus;Vladimir A. Trifonov;Vladimir A. Trifonov;Larisa S. Biltueva;Patricia C.M. O’Brien

Frequent Co-Authors

Fengtang Yang
Fengtang Yang Wellcome Sanger Institute
Malcolm A. Ferguson-Smith
Malcolm A. Ferguson-Smith University of Cambridge
Patricia C. M. O’Brien
Patricia C. M. O’Brien University of Cambridge
Pentao Liu
Pentao Liu University of Hong Kong
Alexander S. Graphodatsky
Alexander S. Graphodatsky Novosibirsk State University
David J. Adams
David J. Adams Wellcome Sanger Institute
Carol Churcher
Carol Churcher University of Cambridge
Peter J. Campbell
Peter J. Campbell Wellcome Sanger Institute
Terence J. Robinson
Terence J. Robinson Stellenbosch University
Michael R. Stratton
Michael R. Stratton Wellcome Sanger Institute

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