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Gane Ka-Shu Wong

Gane Ka-Shu Wong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 83 1390 1318 46 45 174 45741

Gane Ka-Shu Wong publications per year

The chart shows the history of publications by Gane Ka-Shu Wong between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gane Ka-Shu Wong published across 38 years, from 1988 to 2025, averaging 6.3 papers a year. Output peaked at 21 publications in 2018. 6 of the 241 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2018. 1988: 1 publication 1989: 0 publications 1990: 4 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 2 publications 1998: 1 publication 1999: 0 publications 2000: 4 publications 2001: 1 publication 2002: 5 publications 2003: 4 publications 2004: 7 publications 2005: 9 publications 2006: 6 publications 2007: 5 publications 2008: 9 publications 2009: 3 publications 2010: 3 publications 2011: 2 publications 2012: 4 publications 2013: 4 publications 2014: 19 publications 2015: 20 publications 2016: 14 publications 2017: 18 publications 2018: 21 publications 2019: 16 publications 2020: 15 publications 2021: 11 publications 2022: 4 publications 2023: 21 publications 2024: 2 publications 2025: 4 publications
1988 2025

241 publications in total across all disciplines

View publications per year as a table
Gane Ka-Shu Wong: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 4
1991 0
1992 0
1993 1
1994 0
1995 0
1996 1
1997 2
1998 1
1999 0
2000 4
2001 1
2002 5
2003 4
2004 7
2005 9
2006 6
2007 5
2008 9
2009 3
2010 3
2011 2
2012 4
2013 4
2014 19
2015 20
2016 14
2017 18
2018 21
2019 16
2020 15
2021 11
2022 4
2023 21
2024 2
2025 4
Total 241
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Gane Ka-Shu Wong publications per year - data summary

  • Gane Ka-Shu Wong, a Genetics scholar from University of Alberta, has 241 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive years are 2018 and 2023, with 21 publications each.
  • The least productive years with any output are 1988, 1993, 1996, 1998 and others, with 1 publication each.
  • 6 of the 38 years in the span carry no publications at all (1989, 1991, 1992, 1994 and others).
  • The rate of publication averages 6.3 papers per year over the whole span, or 7.5 per year counting only the 32 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 42 publications, 17% of the career total.
  • Split into equal eras - 1988-2000: 14 publications (1.1 per year); 2001-2013: 62 publications (4.8 per year); 2014-2025: 165 publications (13.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gane Ka-Shu Wong publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Gane Ka-Shu Wong sits on this spectrum.

No. of scientists
50 100 150 200
Bar chart with 67 bars. Horizontal axis: publications, 45–54 to 703+. Vertical axis: number of scientists, 0 to 217. Most scientists, 217, have 125–134 publications. The last bar groups every scientist with 703 publications or more. The highlighted bar, 165–174 publications, is where this scientist sits. 45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45–54 publications 703+

This scientist: 174 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

View publications distribution as a table
Number of Genetics scientists by publication count, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
Publications Scientists This scientist
45–54 6
55–64 10
65–74 35
75–84 84
85–94 102
95–104 151
105–114 175
115–124 203
125–134 217
135–144 205
145–154 193
155–164 188
165–174 170 174
175–184 178
185–194 164
195–204 173
205–214 159
215–224 134
225–234 143
235–244 105
245–254 114
255–264 92
265–274 88
275–284 87
285–294 80
295–304 62
305–314 75
315–324 67
325–334 60
335–344 52
345–354 40
355–364 48
365–374 47
375–384 46
385–394 31
395–404 27
405–414 40
415–424 30
425–434 43
435–444 29
445–454 14
455–464 28
465–474 21
475–484 21
485–494 22
495–504 17
505–514 12
515–524 11
525–534 8
535–544 8
545–554 14
555–564 4
565–574 11
575–584 5
585–594 11
595–604 12
605–614 7
615–624 6
625–634 10
635–644 9
645–654 10
655–664 6
665–674 6
675–684 6
685–694 4
695–702 6
703+ 100
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Gane Ka-Shu Wong publication distribution in Genetics in 2026 - data summary

  • The chart plots the publication count of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 67 ranges running from 45–54 to 703+ publications.
  • Gane Ka-Shu Wong, a Genetics scholar from University of Alberta, records 174 publications - the 40th percentile of the discipline.
  • 40% of ranked Genetics scientists score the same or lower than Gane Ka-Shu Wong, and about 60% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Gane Ka-Shu Wong ranks below the median.
  • The most crowded range is 125–134 publications, holding 217 scientists (5% of the field).
  • 56% of the field sits in the lowest quarter of the value range (up to 205–214 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 703 publications or more, 100 scientists in all (2% of the field).

Gane Ka-Shu Wong D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Gane Ka-Shu Wong sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 61 bars. Horizontal axis: D-Index, 40–41 to 160+. Vertical axis: number of scientists, 0 to 191. Most scientists, 191, have 62–63 D-Index. The last bar groups every scientist with 160 D-Index or more. The highlighted bar, 82–83 D-Index, is where this scientist sits. 40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40–41 D-Index 160+

This scientist: 83 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

View D-Index distribution as a table
Number of Genetics scientists by D-index, Research.com 2026 ranking edition. Based on 4,342 ranked scientists.
D-Index Scientists This scientist
40–41 24
42–43 52
44–45 84
46–47 112
48–49 118
50–51 141
52–53 143
54–55 145
56–57 179
58–59 162
60–61 175
62–63 191
64–65 172
66–67 184
68–69 164
70–71 158
72–73 150
74–75 136
76–77 127
78–79 127
80–81 111
82–83 110 83
84–85 110
86–87 84
88–89 102
90–91 66
92–93 72
94–95 70
96–97 54
98–99 60
100–101 49
102–103 55
104–105 45
106–107 42
108–109 28
110–111 39
112–113 25
114–115 31
116–117 29
118–119 34
120–121 29
122–123 29
124–125 18
126–127 27
128–129 22
130–131 16
132–133 11
134–135 17
136–137 12
138–139 21
140–141 4
142–143 9
144–145 14
146–147 6
148–149 10
150–151 7
152–153 9
154–155 8
156–157 8
158–159 9
160+ 96
Download as CSV

Gane Ka-Shu Wong D-index placement in Genetics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 4,342 Genetics scientists ranked by Research.com in 2026, grouped into 61 ranges running from 40–41 to 160+ D-Index.
  • Gane Ka-Shu Wong, a Genetics scholar from University of Alberta, records 83 D-Index - the 68th percentile of the discipline.
  • 68% of ranked Genetics scientists score the same or lower than Gane Ka-Shu Wong, and about 32% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Gane Ka-Shu Wong ranks above the median.
  • The most crowded range is 62–63 D-Index, holding 191 scientists (4% of the field).
  • 51% of the field sits in the lowest quarter of the value range (up to 70–71 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 160 D-Index or more, 96 scientists in all (2% of the field).

Overview

Gane Ka-Shu Wong is affiliated with the University of Alberta in Canada and has a significant research footprint spanning biochemistry, genetics, molecular biology, medicine, and agricultural and biological sciences. Their scholarly work includes multiple publications focusing on molecular biology, plant science, ecology, evolution, behavior, systematics, cellular and molecular neuroscience, and cancer research.

Wong's main research topics encompass gut microbiota and health, genomics and phylogenetic studies, photoreceptor and optogenetics research, neural dynamics and brain function, Clostridium difficile and Clostridium perfringens research, cancer genomics and diagnostics, as well as algal biology and biofuel production.

Their frequent publication venues include:

  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Plants
  • Nature Ecology & Evolution
  • International Journal of Molecular Sciences

Notable recent papers by Wong include:

  • "Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution" (2021), published in Kent Academic Repository (University of Kent)
  • "Anthoceros genomes illuminate the origin of land plants and the unique biology of hornworts" (2020), published in Nature Plants
  • "An ancestral signalling pathway is conserved in intracellular symbioses-forming plant lineages" (2020), published in Nature Plants
  • "Origin and early evolution of the plant terpene synthase family" (2022), published in Proceedings of the National Academy of Sciences
  • "The genome of Prasinoderma coloniale unveils the existence of a third phylum within green plants" (2020), published in Nature Ecology & Evolution

Wong has collaborated frequently with several co-authors, including Michael Melkonian (9 joint works), Dina Kao (6 joint works), Jordan Patterson (5 joint works), Shifeng Cheng (4 joint works), and Pierre-Marc Delaux (4 joint works).

Best Publications

  • Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen.

    C. K. Stover;X. Q. Pham;A. L. Erwin;S. D. Mizoguchi

  • A draft sequence of the rice genome (Oryza sativa L. ssp indica)

    Stephen A. Goff;Darrell Ricke;Tien-Hung Lan;Gernot Presting

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

    Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren

  • Evolution of genes and genomes on the Drosophila phylogeny.

    Andrew G. Clark;Michael B. Eisen;Michael B. Eisen;Douglas R. Smith;Casey M. Bergman

  • The sequence and de novo assembly of the giant panda genome

    Ruiqiang Li;Wei Fan;Geng Tian;Hongmei Zhu

  • A draft sequence for the genome of the domesticated silkworm (Bombyx mori).

    Qingyou Xia;Zeyang Zhou;Cheng Lu

  • Phylotranscriptomic analysis of the origin and early diversification of land plants

    Norman J. Wickett;Siavash Mirarab;Nam Nguyen;Tandy Warnow

  • KaKs_Calculator: calculating Ka and Ks through model selection and model averaging.

    Zhang Zhang;Jun Li;Xiao-Qian Zhao;Jun Wang;Jun Wang

  • The diploid genome sequence of an Asian individual.

    Jun Wang;Wei Wang;Ruiqiang Li;Ruiqiang Li;Yingrui Li;Yingrui Li;Yingrui Li

  • SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads

    Yinlong Xie;Yinlong Xie;Gengxiong Wu;Jingbo Tang;Ruibang Luo

  • The Genomes of Oryza sativa: a history of duplications.

    Jun Yu;Jun Yu;Jun Wang;Jun Wang;Wei Lin;Songgang Li;Songgang Li

  • Characterization of the Gut Microbiome Using 16S or Shotgun Metagenomics.

    Juan Jovel;Jordan Patterson;Weiwei Wang;Naomi Hotte

  • TreeFam: a curated database of phylogenetic trees of animal gene families

    Heng Li;Avril Coghlan;Jue Ruan;Lachlan James M. Coin

  • A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

    Gane Ka Shu Wong;Gane Ka Shu Wong;Gane Ka Shu Wong;Bin Liu;Jun Wang;Jun Wang;Yong Zhang;Yong Zhang

  • A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering.

    Matthew G. Johnson;Lisa Pokorny;Steven Dodsworth;Steven Dodsworth;Laura R. Botigue

  • Data access for the 1,000 Plants (1KP) project.

    Naim Matasci;Ling Hong Hung;Zhixiang Yan;Eric J. Carpenter

  • Fern genomes elucidate land plant evolution and cyanobacterial symbioses

    Fay Wei Li;Fay Wei Li;Paul Brouwer;Lorenzo Carretero-Paulet;Shifeng Cheng

  • The genome of flax (Linum usitatissimum) assembled de novo from short shotgun sequence reads.

    Zhiwen Wang;Neil Hobson;Leonardo Galindo;Shilin Zhu

  • A genome triplication associated with early diversification of the core eudicots

    Yuannian Jiao;Jim Leebens-Mack;Saravanaraj Ayyampalayam;John E. Bowers

  • Pigs in sequence space: a 0.66X coverage pig genome survey based on shotgun sequencing.

    Rasmus Wernersson;Mikkel H Schierup;Frank G Jørgensen;Jan Gorodkin

Frequent Co-Authors

Michael Melkonian
Michael Melkonian Max Planck Society
Yong Zhang
Yong Zhang Chinese Academy of Sciences
huanming yang
huanming yang Beijing Genomics Institute
Douglas E. Soltis
Douglas E. Soltis University of Florida
Dennis W. Stevenson
Dennis W. Stevenson New York Botanical Garden
Sean W. Graham
Sean W. Graham University of British Columbia
Fay-Wei Li
Fay-Wei Li Cornell University
Pamela S. Soltis
Pamela S. Soltis University of Florida
Ruiqiang Li
Ruiqiang Li Novogene (China)
Jun Wang
Jun Wang University of Central Florida

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