World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 74 1929 1836 43 42 140 45421

Haibao Tang publications per year

The chart shows the history of publications by Haibao Tang between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Haibao Tang published across 21 years, from 2005 to 2025, averaging 8.2 papers a year. Output peaked at 16 publications in 2018. 17 of the 172 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2018. 2005: 1 publication 2006: 1 publication 2007: 1 publication 2008: 4 publications 2009: 9 publications 2010: 5 publications 2011: 11 publications 2012: 13 publications 2013: 6 publications 2014: 10 publications 2015: 10 publications 2016: 14 publications 2017: 12 publications 2018: 16 publications 2019: 7 publications 2020: 12 publications 2021: 6 publications 2022: 13 publications 2023: 4 publications 2024: 7 publications 2025: 10 publications
2005 2025

172 publications in total across all disciplines

View publications per year as a table
Haibao Tang: publications per year, 2005 to 2025
Year Publications
2005 1
2006 1
2007 1
2008 4
2009 9
2010 5
2011 11
2012 13
2013 6
2014 10
2015 10
2016 14
2017 12
2018 16
2019 7
2020 12
2021 6
2022 13
2023 4
2024 7
2025 10
Total 172
Download as CSV

Haibao Tang publications per year - data summary

  • Haibao Tang, a Genetics scholar from Fujian Agriculture and Forestry University, has 172 publications recorded across 21 years, from 2005 to 2025.
  • The oldest publication on record dates to 2005 and the most recent to 2025.
  • The most productive year is 2018, with 16 publications.
  • The least productive years with any output are 2005, 2006 and 2007, with 1 publication each.
  • The rate of publication averages 8.2 papers per year over the whole span, or 8.2 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 40 publications, 23% of the career total.
  • Split into equal eras - 2005-2011: 32 publications (4.6 per year); 2012-2018: 81 publications (11.6 per year); 2019-2025: 59 publications (8.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Haibao Tang 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 Haibao Tang 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, 135–144 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: 140 publications — 25th percentile

25% 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
135–144 205 140
145–154 193
155–164 188
165–174 170
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
Download as CSV

Haibao Tang 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.
  • Haibao Tang, a Genetics scholar from Fujian Agriculture and Forestry University, records 140 publications - the 25th percentile of the discipline.
  • 25% of ranked Genetics scientists score the same or lower than Haibao Tang, and about 75% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Haibao Tang 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).

Haibao Tang 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 Haibao Tang 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, 74–75 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: 74 D-Index — 56th percentile

56% 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 74
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

Haibao Tang 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.
  • Haibao Tang, a Genetics scholar from Fujian Agriculture and Forestry University, records 74 D-Index - the 56th percentile of the discipline.
  • 56% of ranked Genetics scientists score the same or lower than Haibao Tang, and about 44% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Haibao Tang 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

Haibao Tang is affiliated with Fujian Agriculture and Forestry University in China and has contributed extensively to the fields of Agricultural and Biological Sciences and Biochemistry, Genetics and Molecular Biology. Their primary research interests span Plant Science, Molecular Biology, Genetics, Biomedical Engineering, and Ecology, Evolution, Behavior and Systematics.

The scientist's main topics of work include:

  • Genomics and Phylogenetic Studies
  • Chromosomal and Genetic Variations
  • Sugarcane Cultivation and Processing
  • Biofuel production and bioconversion
  • Genetic Mapping and Diversity in Plants and Animals
  • Plant Reproductive Biology
  • Plant Virus Research Studies

Haibao Tang has published research in several scientific journals, with frequent contributions to:

  • Nature Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences
  • Plant Biotechnology Journal
  • Genome Biology

Recent papers include:

  • JCVI: A versatile toolkit for comparative genomics analysis, 2024, iMeta
  • Two divergent haplotypes from a highly heterozygous lychee genome suggest independent domestication events for early and late-maturing cultivars, 2022, Nature Genetics
  • Haplotype-resolved genome assembly provides insights into evolutionary history of the tea plant Camellia sinensis, 2021, Nature Genetics
  • Genomes of the Banyan Tree and Pollinator Wasp Provide Insights into Fig-Wasp Coevolution, 2020, Cell
  • Precision medicine integrating whole-genome sequencing, comprehensive metabolomics, and advanced imaging, 2020, Proceedings of the National Academy of Sciences

Haibao Tang has collaborated frequently with several researchers including:

  • Xingtan Zhang
  • Ray Ming
  • Jisen Zhang
  • Xiuting Hua
  • Muqing Zhang

Best Publications

  • MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity

    Yupeng Wang;Haibao Tang;Jeremy D. DeBarry;Xu-fei Tan

  • The Sorghum bicolor genome and the diversification of grasses

    Andrew H. Paterson;John E. Bowers;Rémy Bruggmann;Inna Dubchak

  • The tomato genome sequence provides insights into fleshy fruit evolution

    Shusei Sato;Satoshi Tabata;Hideki Hirakawa;Erika Asamizu

  • 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

  • Synteny and collinearity in plant genomes.

    Haibao Tang;John E. Bowers;Xiyin Wang;Ray Ming

  • The Medicago genome provides insight into the evolution of rhizobial symbioses

    Nevin D Young;Frédéric Debellé;Frédéric Debellé;Giles E D Oldroyd;Rene Geurts

  • Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres

    Andrew H Paterson;Jonathan F Wendel;Heidrun Gundlach;Hui Guo

  • The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus)

    Ray Ming;Shaobin Hou;Yun Feng;Qingyi Yu

  • GOATOOLS: A Python library for Gene Ontology analyses.

    D. V. Klopfenstein;Liangsheng Zhang;Brent S. Pedersen;Fidel Ramírez

  • Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

    Jisen Zhang;Xingtan Zhang;Haibao Tang;Qing Zhang

  • Unraveling ancient hexaploidy through multiply-aligned angiosperm gene maps

    Haibao Tang;Xiyin Wang;Xiyin Wang;John E. Bowers;Ray Ming

  • The genome of cultivated peanut provides insight into legume karyotypes, polyploid evolution and crop domestication

    Weijian Zhuang;Hua Chen;Meng Yang;Jianping Wang;Jianping Wang

  • The pineapple genome and the evolution of CAM photosynthesis

    Ray Ming;Ray Ming;Robert VanBuren;Robert VanBuren;Robert VanBuren;Ching Man Wai;Ching Man Wai;Haibao Tang;Haibao Tang

  • PGDD: a database of gene and genome duplication in plants

    Tae-Ho Lee;Haibao Tang;Xiyin Wang;Andrew H. Paterson

  • The pangenome of an agronomically important crop plant Brassica oleracea

    Agnieszka A. Golicz;Philipp E. Bayer;Guy C. Barker;Patrick P. Edger

  • Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea.

    Isobel Ap Parkin;Chushin Koh;Haibao Tang;Stephen J Robinson

  • Genome of the long-living sacred lotus ( Nelumbo nucifera Gaertn.)

    Ray Ming;Ray Ming;Robert VanBuren;Yanling Liu;Mei Yang

  • Finding and Comparing Syntenic Regions among Arabidopsis and the Outgroups Papaya, Poplar, and Grape: CoGe with Rosids

    Eric Lyons;Brent Pedersen;Josh Kane;Maqsudul Alam

  • An improved genome release (version Mt4.0) for the model legume Medicago truncatula

    Haibao Tang;Vivek Krishnakumar;Shelby Bidwell;Benjamin Rosen

Frequent Co-Authors

Andrew H. Paterson
Andrew H. Paterson University of Georgia
Xiyin Wang
Xiyin Wang North China University of Science and Technology
Ray Ming
Ray Ming University of Illinois at Urbana-Champaign
Eric Lyons
Eric Lyons University of Arizona
John E. Bowers
John E. Bowers University of Georgia
Michael Freeling
Michael Freeling University of California, Berkeley
Christopher D. Town
Christopher D. Town J. Craig Venter Institute
David Sankoff
David Sankoff University of Ottawa
Patrick P. Edger
Patrick P. Edger Michigan State University
Michael C. Schatz
Michael C. Schatz Johns Hopkins University

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

Exploring a degree in Genetics opens the door to many related health, science, and clinical fields. Online education is making it more accessible than ever to prepare for these careers, offering both foundational programs and advanced pathways with a flexible format.

For those starting in healthcare, a medical assistant course can deliver essential skills in a matter of weeks—ideal for quickly entering the workforce. Aspiring nurses might consider online rn to bsn programs no clinicals to advance without traditional in-person requirements.

Looking for leadership and advanced practice? The fastest bsn to dnp program options help experienced nurses rapidly move into doctoral-level roles. For those prioritizing flexibility, dnp programs online can make balancing work and study easier than ever.

Whether you’re seeking direct patient care or hoping to move into genetics research and practice, these online pathways can complement and accelerate your journey in the biomedical sciences.

Best Scientists Citing Haibao Tang

Trending Scientists

Recently Published Articles