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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 55 3597 3393 17 16 176 8011

Gen Hua Yue publications per year

The chart shows the history of publications by Gen Hua Yue between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gen Hua Yue published across 30 years, from 1996 to 2025, averaging 8 papers a year. Output peaked at 20 publications in 2023. 26 of the 241 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2023. 1996: 3 publications 1997: 0 publications 1998: 0 publications 1999: 2 publications 2000: 3 publications 2001: 2 publications 2002: 5 publications 2003: 8 publications 2004: 7 publications 2005: 3 publications 2006: 13 publications 2007: 6 publications 2008: 8 publications 2009: 5 publications 2010: 11 publications 2011: 8 publications 2012: 10 publications 2013: 6 publications 2014: 13 publications 2015: 9 publications 2016: 12 publications 2017: 13 publications 2018: 7 publications 2019: 8 publications 2020: 6 publications 2021: 12 publications 2022: 15 publications 2023: 20 publications 2024: 11 publications 2025: 15 publications
1996 2025

241 publications in total across all disciplines

View publications per year as a table
Gen Hua Yue: publications per year, 1996 to 2025
Year Publications
1996 3
1997 0
1998 0
1999 2
2000 3
2001 2
2002 5
2003 8
2004 7
2005 3
2006 13
2007 6
2008 8
2009 5
2010 11
2011 8
2012 10
2013 6
2014 13
2015 9
2016 12
2017 13
2018 7
2019 8
2020 6
2021 12
2022 15
2023 20
2024 11
2025 15
Total 241
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Gen Hua Yue publications per year - data summary

  • Gen Hua Yue, a Genetics scholar from National University of Singapore, has 241 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2023, with 20 publications.
  • The least productive years with any output are 1999 and 2001, with 2 publications each.
  • 2 of the 30 years in the span carry no publications at all (1997 and 1998).
  • The rate of publication averages 8.0 papers per year over the whole span, or 8.6 per year counting only the 28 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 73 publications, 30% of the career total.
  • Split into equal eras - 1996-2005: 33 publications (3.3 per year); 2006-2015: 89 publications (8.9 per year); 2016-2025: 119 publications (11.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gen Hua Yue 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 Gen Hua Yue 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, 175–184 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: 176 publications — 41st percentile

41% 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
175–184 178 176
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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Gen Hua Yue 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.
  • Gen Hua Yue, a Genetics scholar from National University of Singapore, records 176 publications - the 41st percentile of the discipline.
  • 41% of ranked Genetics scientists score the same or lower than Gen Hua Yue, and about 59% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Gen Hua Yue 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).

Gen Hua Yue 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 Gen Hua Yue 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, 54–55 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: 55 D-Index — 19th percentile

19% 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 55
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
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
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Gen Hua Yue 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.
  • Gen Hua Yue, a Genetics scholar from National University of Singapore, records 55 D-Index - the 19th percentile of the discipline.
  • 19% of ranked Genetics scientists score the same or lower than Gen Hua Yue, and about 81% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Gen Hua Yue ranks below 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

Gen Hua Yue is affiliated with the National University of Singapore in Singapore. Their research spans the fields of Biochemistry, Genetics and Molecular Biology, as well as Agricultural and Biological Sciences. They have made contributions across subfields including Genetics, Aquatic Science, Molecular Biology, Immunology, and Ecology.

Their scientific work primarily covers topics such as Aquaculture Nutrition and Growth, Aquaculture Disease Management and Microbiota, Animal Genetics and Reproduction, Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities, Reproductive Biology and Impacts on Aquatic Species, CRISPR and Genetic Engineering, and Fish Biology and Ecology Studies.

Gen Hua Yue has published extensively in several venues, frequently appearing in:

  • Aquaculture
  • Aquaculture and Fisheries
  • Reviews in Aquaculture
  • SSRN Electronic Journal
  • Marine Biotechnology

Among recent papers authored or co-authored by Gen Hua Yue are:

  • Aquaculture species diversification in China, 2023, Aquaculture and Fisheries
  • Transposon-induced epigenetic silencing in the X chromosome as a novel form of dmrt1 expression regulation during sex determination in the fighting fish, 2022, BMC Biology
  • Genome editing and its applications in genetic improvement in aquaculture, 2021, Reviews in Aquaculture
  • Genomic Basis of Striking Fin Shapes and Colors in the Fighting Fish, 2021, Molecular Biology and Evolution
  • Status, challenges and trends of aquaculture in Singapore, 2020, Aquaculture

Frequent collaborators include Le Wang, Fei Sun, Zituo Yang, May Lee, and Joey Wong, reflecting a broad and interdisciplinary network of scientific partnership.

Best Publications

  • The intestinal microbiome of fish under starvation.

    Jun Hong Xia;Grace Lin;Gui-Hong Fu;Zi Yi Wan

  • Recent advances of genome mapping and marker‐assisted selection in aquaculture

    Gen Hua Yue

  • Genetic analysis of two common carp broodstocks by RAPD and microsatellite markers

    Richárd Bártfai;Sándor Egedi;Gen Hua Yue;Balázs Kovács

  • Microsatellites within genes and ESTs of common carp and their applicability in silver crucian carp

    Gen Hua Yue;Mei Yin Ho;Laszlo Orban;Johannes Komen

  • Rapid isolation of DNA from fresh and preserved fish scales for polymerase chain reaction.

    Gen Hua Yue;Laszlo Orban

  • A Microsatellite Linkage Map of Barramundi, Lates calcarifer

    Chun Ming Wang;Ze Yuan Zhu;Loong Chueng Lo;Felicia Feng

  • A simple and affordable method for high-throughput DNA extraction from animal tissues for polymerase chain reaction.

    Gen Hua Yue;Laszlo Orban;Laszlo Orban

  • A consensus linkage map of the grass carp ( Ctenopharyngodon idella ) based on microsatellites and SNPs

    Jun Hong Xia;Feng Liu;Ze Yuan Zhu;Jianjun Fu

  • A high-resolution linkage map for comparative genome analysis and QTL fine mapping in Asian seabass, Lates calcarifer

    Chun Ming Wang;Zhi Yi Bai;Xiao Ping He;Grace Lin

  • Genetic diversity and population structure of the invasive alien red swamp crayfish

    Gen Hua Yue;Gen Hua Yue;Jiale Li;Zhiyi Bai;Chun Ming Wang

  • Genetic variation and population structure of Asian seabass (Lates calcarifer) in the Asia-Pacific region

    Gen Hua Yue;Ze Yuan Zhu;Loong Chueng Lo;Chun Ming Wang

  • Construction of a high-density linkage map and fine mapping of QTL for growth in Asian seabass

    Le Wang;Zi Yi Wan;Bin Bai;Shu Qing Huang

  • A microsatellite-based linkage map of salt tolerant tilapia (Oreochromis mossambicus x Oreochromis spp.) and mapping of sex-determining loci.

    Feng Liu;Fei Sun;Jian Li;Jun Hong Xia

  • High genetic diversity and substantial population differentiation in grass carp (Ctenopharyngodon idella) revealed by microsatellite analysis

    Feng Liu;Jun-Hong Xia;Zhi-Yi Bai;Jian-Jun Fu

  • Rapid isolation and characterization of microsatellites from the genome of Asian arowana (Scleropages formosus, Osteoglossidae, Pisces)

    G. H. Yue;F. Chen;L. Orban

  • Current status of genome sequencing and its applications in aquaculture

    G.H. Yue;L. Wang

  • Analysis of Stress-Responsive Transcriptome in the Intestine of Asian Seabass (Lates calcarifer) using RNA-Seq

    Jun Hong Xia;Peng Liu;Feng Liu;Grace Lin

  • A first generation microsatellite- and SNP-based linkage map of Jatropha.

    Chun Ming Wang;Peng Liu;Chengxin Yi;Keyu Gu

  • The complete mitochondrial genome of a basal teleost, the Asian arowana (Scleropages formosus, Osteoglossidae)

    Gen Hua Yue;Woei Chang Liew;Laszlo Orban;Laszlo Orban

  • A genome scan for quantitative trait loci affecting growth-related traits in an F1 family of Asian seabass (Lates calcarifer)

    Chun Ming Wang;Loong Chueng Lo;Ze Yuan Zhu;Gen Hua Yue

Frequent Co-Authors

Le Wang
Le Wang Pacific Northwest National Laboratory
Nam-Hai Chua
Nam-Hai Chua National University of Singapore
Limsoon Wong
Limsoon Wong National University of Singapore
Chunming Wang
Chunming Wang University of Macau
Manfred Schartl
Manfred Schartl University of Würzburg
Jianguo He
Jianguo He Sun Yat-sen University
Paulino Martínez
Paulino Martínez University of Santiago de Compostela
Peng Xu
Peng Xu Chinese Academy of Sciences
Vincenzo Russo
Vincenzo Russo University of Bologna
Jianyong Ouyang
Jianyong Ouyang National University of Singapore

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