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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 62 2946 2794 15 14 197 22001

Xiaowu Wang publications per year

The chart shows the history of publications by Xiaowu Wang between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiaowu Wang published across 30 years, from 1997 to 2026, averaging 10.5 papers a year. Output peaked at 38 publications in 2024. 37 of the 315 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2024. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 4 publications 2001: 0 publications 2002: 1 publication 2003: 2 publications 2004: 0 publications 2005: 3 publications 2006: 3 publications 2007: 3 publications 2008: 3 publications 2009: 6 publications 2010: 5 publications 2011: 10 publications 2012: 13 publications 2013: 15 publications 2014: 17 publications 2015: 22 publications 2016: 12 publications 2017: 10 publications 2018: 12 publications 2019: 9 publications 2020: 7 publications 2021: 13 publications 2022: 35 publications 2023: 34 publications 2024: 38 publications 2025: 35 publications 2026: 2 publications
1997 2026

315 publications in total across all disciplines

View publications per year as a table
Xiaowu Wang: publications per year, 1997 to 2026
Year Publications
1997 1
1998 0
1999 0
2000 4
2001 0
2002 1
2003 2
2004 0
2005 3
2006 3
2007 3
2008 3
2009 6
2010 5
2011 10
2012 13
2013 15
2014 17
2015 22
2016 12
2017 10
2018 12
2019 9
2020 7
2021 13
2022 35
2023 34
2024 38
2025 35
2026 2
Total 315
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Xiaowu Wang publications per year - data summary

  • Xiaowu Wang, a Genetics scholar from Civil Aviation Authority of Singapore, has 315 publications recorded across 30 years, from 1997 to 2026.
  • The oldest publication on record dates to 1997 and the most recent to 2026.
  • The most productive year is 2024, with 38 publications.
  • The least productive years with any output are 1997 and 2002, with 1 publication each.
  • 4 of the 30 years in the span carry no publications at all (1998, 1999, 2001 and 2004).
  • The rate of publication averages 10.5 papers per year over the whole span, or 12.1 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 144 publications, 46% of the career total.
  • Split into equal eras - 1997-2006: 14 publications (1.4 per year); 2007-2016: 106 publications (10.6 per year); 2017-2026: 195 publications (19.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Xiaowu Wang 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 Xiaowu Wang 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, 195–204 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: 197 publications — 49th percentile

49% 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
185–194 164
195–204 173 197
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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Xiaowu Wang 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.
  • Xiaowu Wang, a Genetics scholar from Civil Aviation Authority of Singapore, records 197 publications - the 49th percentile of the discipline.
  • 49% of ranked Genetics scientists score the same or lower than Xiaowu Wang, and about 51% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Xiaowu Wang falls inside that same range.
  • 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).

Xiaowu Wang 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 Xiaowu Wang 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, 62–63 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: 62 D-Index — 33rd percentile

33% 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 62
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
Download as CSV

Xiaowu Wang 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.
  • Xiaowu Wang, a Genetics scholar from Civil Aviation Authority of Singapore, records 62 D-Index - the 33rd percentile of the discipline.
  • 33% of ranked Genetics scientists score the same or lower than Xiaowu Wang, and about 67% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Xiaowu Wang 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

Xiaowu Wang is affiliated with the Civil Aviation Authority of Singapore in Singapore. Their research spans multiple areas primarily within the fields of Biochemistry, Genetics and Molecular Biology, Agricultural and Biological Sciences, and Medicine.

The scientist has contributed extensively to Plant Science and Molecular Biology, with additional work in Cancer Research, Genetics, and Pulmonary and Respiratory Medicine. Their research topics encompass:

  • Chromosomal and Genetic Variations
  • Genomics and Phylogenetic Studies
  • Plant Disease Resistance and Genetics
  • Plant Molecular Biology Research
  • Plant Reproductive Biology
  • Photosynthetic Processes and Mechanisms
  • Ferroptosis and cancer prognosis

Xiaowu Wang's publications have appeared in several recurring venues, which include:

  • Horticulture Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Horticultural Plant Journal
  • Research Square (Research Square)
  • Plant Biotechnology Journal

Among their recent papers are:

  • "Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19," 2020, Journal of Medical Virology
  • "BRAD V3.0: an upgraded Brassicaceae database," 2021, Nucleic Acids Research
  • "Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa," 2021, Genome Biology
  • "Improved Brassica oleracea JZS assembly reveals significant changing of LTR-RT dynamics in different morphotypes," 2020, Theoretical and Applied Genetics
  • "Genome structural evolution in Brassica crops," 2021, Nature Plants

The scientist has collaborated frequently with several researchers, including:

  • Jian Wu
  • Jianli Liang
  • Xu Cai
  • Runmao Lin
  • Feng Cheng

Best Publications

  • Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome

    Boulos Chalhoub;Shengyi Liu;Isobel A.P. Parkin

  • The genome of the mesopolyploid crop species Brassica rapa

    Xiaowu Wang;Hanzhong Wang;Jun Wang;Jun Wang;Jun Wang

  • The genome of the cucumber, Cucumis sativus L.

    Sanwen Huang;Ruiqiang Li;Zhonghua Zhang;Li Li

  • The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes

    Shengyi Liu;Yumei Liu;Xinhua Yang;Chaobo Tong

  • SLAF-seq: An Efficient Method of Large-Scale De Novo SNP Discovery and Genotyping Using High-Throughput Sequencing

    Xiaowen Sun;Dongyuan Liu;Xiaofeng Zhang;Wenbin Li

  • The genome sequence of allopolyploid Brassica juncea and analysis of differential homoeolog gene expression influencing selection

    Jinghua Yang;Dongyuan Liu;Xiaowu Wang;Changmian Ji

  • BRAD, the genetics and genomics database for Brassica plants

    Feng Cheng;Shengyi Liu;Jian Wu;Lu Fang

  • An atlas of over 90,000 conserved noncoding sequences provides insight into crucifer regulatory regions

    Annabelle Haudry;Adrian E Platts;Emilio Vello;Douglas R Hoen

  • Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement.

    Kun Lu;Lijuan Wei;Xiaolong Li;Yuntong Wang

  • Subgenome parallel selection is associated with morphotype diversification and convergent crop domestication in Brassica rapa and Brassica oleracea

    Feng Cheng;Rifei Sun;Xilin Hou;Hongkun Zheng

  • Genome Triplication Drove the Diversification of Brassica Plants

    Feng Cheng;Jian Wu;Xiaowu Wang

  • Gene retention, fractionation and subgenome differences in polyploid plants.

    Feng Cheng;Jian Wu;Xu Cai;Jianli Liang

  • Deciphering the Diploid Ancestral Genome of the Mesohexaploid Brassica rapa

    Feng Cheng;Terezie Mandáková;Jian Wu;Qi Xie

  • Construction and analysis of high-density linkage map using high-throughput sequencing data.

    Dongyuan Liu;Chouxian Ma;Weiguo Hong;Long Huang

  • Biased Gene Fractionation and Dominant Gene Expression among the Subgenomes of Brassica rapa

    Feng Cheng;Jian Wu;Lu Fang;Silong Sun

  • An Integrated Genetic and Cytogenetic Map of the Cucumber Genome

    Yi Ren;Zhonghua Zhang;Jinhua Liu;Jack E. Staub

  • Improved Brassica rapa reference genome by single-molecule sequencing and chromosome conformation capture technologies.

    Lei Zhang;Xu Cai;Jian Wu;Min Liu

  • Genetic relationships within Brassica rapa as inferred from AFLP fingerprints

    Jianjun Zhao;Xiaowu Wang;Bo Deng;Ping Lou

  • Syntenic gene analysis between Brassica rapa and other Brassicaceae species

    Feng Cheng;Jian Wu;Lu Fang;Xiaowu Wang

  • Dissecting the genome of the polyploid crop oilseed rape by transcriptome sequencing

    Ian Bancroft;Colin Morgan;Fiona Fraser;Janet Higgins

Frequent Co-Authors

Jian Wu
Jian Wu Fudan University
Michael Freeling
Michael Freeling University of California, Berkeley
Sanwen Huang
Sanwen Huang Chinese Academy of Agricultural Sciences
Bingyan Xie
Bingyan Xie Chinese Academy of Inspection and Quarantine
Ian Bancroft
Ian Bancroft University of York
J. Chris Pires
J. Chris Pires Colorado State University
Maarten Koornneef
Maarten Koornneef Max Planck Institute for Plant Breeding Research
Haibao Tang
Haibao Tang Fujian Agriculture and Forestry University
Boulos Chalhoub
Boulos Chalhoub INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Mark G. M. Aarts
Mark G. M. Aarts Wageningen University & Research

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