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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 89 1125 1065 539 506 466 27846

Dong Xu publications per year

The chart shows the history of publications by Dong Xu between 1992 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Dong Xu published across 35 years, from 1992 to 2026, averaging 20.3 papers a year. Output peaked at 71 publications in 2025. 72 of the 710 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1992 to 2026. Vertical axis: number of publications, 0 to 71. Peak 71 publications in 2025. 1992: 1 publication 1993: 0 publications 1994: 1 publication 1995: 8 publications 1996: 3 publications 1997: 5 publications 1998: 7 publications 1999: 3 publications 2000: 7 publications 2001: 3 publications 2002: 10 publications 2003: 19 publications 2004: 17 publications 2005: 13 publications 2006: 20 publications 2007: 23 publications 2008: 23 publications 2009: 20 publications 2010: 33 publications 2011: 22 publications 2012: 26 publications 2013: 20 publications 2014: 31 publications 2015: 30 publications 2016: 30 publications 2017: 30 publications 2018: 20 publications 2019: 28 publications 2020: 30 publications 2021: 26 publications 2022: 36 publications 2023: 41 publications 2024: 52 publications 2025: 71 publications 2026: 1 publication
1992 2026

710 publications in total across all disciplines

View publications per year as a table
Dong Xu: publications per year, 1992 to 2026
Year Publications
1992 1
1993 0
1994 1
1995 8
1996 3
1997 5
1998 7
1999 3
2000 7
2001 3
2002 10
2003 19
2004 17
2005 13
2006 20
2007 23
2008 23
2009 20
2010 33
2011 22
2012 26
2013 20
2014 31
2015 30
2016 30
2017 30
2018 20
2019 28
2020 30
2021 26
2022 36
2023 41
2024 52
2025 71
2026 1
Total 710
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Dong Xu publications per year - data summary

  • Dong Xu, a Genetics scholar from University of Missouri, has 710 publications recorded across 35 years, from 1992 to 2026.
  • The oldest publication on record dates to 1992 and the most recent to 2026.
  • The most productive year is 2025, with 71 publications.
  • The least productive years with any output are 1992, 1994 and 2026, with 1 publication each.
  • 1 of the 35 years in the span carries no publications at all (1993).
  • The rate of publication averages 20.3 papers per year over the whole span, or 20.9 per year counting only the 34 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 201 publications, 28% of the career total.
  • Split into equal eras - 1992-2003: 67 publications (5.6 per year); 2004-2015: 278 publications (23.2 per year); 2016-2026: 365 publications (33.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Dong Xu 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 Dong Xu 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, 465–474 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: 466 publications — 92nd percentile

92% 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
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 21 466
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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Dong Xu 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.
  • Dong Xu, a Genetics scholar from University of Missouri, records 466 publications - the 92nd percentile of the discipline.
  • 92% of ranked Genetics scientists score the same or lower than Dong Xu, and about 8% score higher.
  • The median of the discipline falls in the 195–204 publications range, and Dong Xu ranks above 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).

Dong Xu 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 Dong Xu 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, 88–89 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: 89 D-Index — 75th percentile

75% 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
84–85 110
86–87 84
88–89 102 89
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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Dong Xu 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.
  • Dong Xu, a Genetics scholar from University of Missouri, records 89 D-Index - the 75th percentile of the discipline.
  • 75% of ranked Genetics scientists score the same or lower than Dong Xu, and about 25% score higher.
  • The median of the discipline falls in the 70–71 D-Index range, and Dong Xu 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

Dong Xu is affiliated with the University of Missouri in the United States. Their research spans multiple fields primarily within Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology. Their work also extensively covers Artificial Intelligence, Plant Science, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

The scientist's research topics emphasize single-cell and spatial transcriptomics, machine learning applications in bioinformatics, protein structure and dynamics, bioinformatics and genomic networks, computational drug discovery methods, gene expression and cancer classification, and mechanisms of RNA and protein synthesis.

Dong Xu has published extensively, with frequent contributions appearing in venues including bioRxiv (Cold Spring Harbor Laboratory), Nature Communications, Computational and Structural Biotechnology Journal, arXiv (Cornell University), and Nucleic Acids Research.

Their recent notable publications include:

  • "scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses," 2021, Nature Communications
  • "MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization," 2020, Nucleic Acids Research
  • "Large AI Models in Health Informatics: Applications, Challenges, and the Future," 2023, IEEE Journal of Biomedical and Health Informatics
  • "A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility," 2020, Journal of Cheminformatics
  • "Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data," 2022, Nature Communications

Dong Xu collaborates regularly with several researchers, including Juexin Wang, Qin Ma, Duolin Wang, Anjun Ma, and Yuexu Jiang. These frequent coauthors have contributed to many joint publications, evidencing collaborative research efforts.

Best Publications

  • Genome sequence of the palaeopolyploid soybean

    Jeremy Schmutz;Steven B. Cannon;Jessica Schlueter;Jessica Schlueter;Jianxin Ma

  • Hydrogen bonds and salt bridges across protein-protein interfaces.

    Dong Xu;Chung Jung Tsai;Ruth Nussinov

  • Transcriptome dynamics of Deinococcus radiodurans recovering from ionizing radiation

    Yongqing Liu;Jizhong Zhou;Marina V. Omelchenko;Alex S. Beliaev

  • An integrated transcriptome atlas of the crop model Glycine max, and its use in comparative analyses in plants

    Marc Libault;Andrew Farmer;Trupti Joshi;Kaori Takahashi

  • scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses.

    Juexin Wang;Anjun Ma;Yuzhou Chang;Jianting Gong

  • Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees.

    Ying Xu;Victor Olman;Dong Xu

  • Inferring gene regulatory networks from multiple microarray datasets

    Yong Wang;Trupti Joshi;Xiang-Sun Zhang;Dong Xu

  • A content-based recommender system for computer science publications

    Donghui Wang;Yanchun Liang;Yanchun Liang;Dong Xu;Dong Xu;Xiaoyue Feng

  • Protein binding versus protein folding: the role of hydrophilic bridges in protein associations

    Dong Xu;Shuo L Lin;Ruth Nussinov;Ruth Nussinov

  • Ultradeep bisulfite sequencing analysis of DNA methylation patterns in multiple gene promoters by 454 sequencing.

    Kristen H. Taylor;Robin S. Kramer;J. Wade Davis;Juyuan Guo

  • A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

    Lourdes Pena-Castillo;Murat Tasan;Chad L Myers;Hyunju Lee

  • Capacitively Coupled Arrays of Multiplexed Flexible Silicon Transistors for Long-Term Cardiac Electrophysiology.

    Hui Fang;Hui Fang;Ki Jun Yu;Ki Jun Yu;Christopher Gloschat;Zijian Yang

  • Epigenome-wide inheritance of cytosine methylation variants in a recombinant inbred population

    Robert J. Schmitz;Yupeng He;Yupeng He;Oswaldo Valdés-López;Saad M. Khan

  • MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.

    Duolin Wang;Shuai Zeng;Chunhui Xu;Wangren Qiu;Wangren Qiu

  • Comparisons among two fertile and three male-sterile mitochondrial genomes of maize.

    James O. Allen;Christiane M. Fauron;Patrick Minx;Leah Roark

  • Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites

    Jianjiong Gao;Jay J. Thelen;A. Keith Dunker;Dong Xu

  • Protein threading using PROSPECT: design and evaluation.

    Ying Xu;Dong Xu

  • Using Internet Search Engines to Obtain Medical Information: A Comparative Study

    Liupu Wang;Juexin Wang;Michael Wang;Yong Li

  • Soybean (Glycine max) SWEET gene family: insights through comparative genomics, transcriptome profiling and whole genome re-sequence analysis

    Gunvant Patil;Babu Valliyodan;Rupesh Deshmukh;Silvas Prince

  • Transcriptional and Physiological Responses of Bradyrhizobium japonicum to Desiccation-Induced Stress

    Eddie J. Cytryn;Dipen P. Sangurdekar;John G. Streeter;William L. Franck

Frequent Co-Authors

Trupti Joshi
Trupti Joshi University of Missouri
Ying Xu
Ying Xu University of Georgia
Gary Stacey
Gary Stacey University of Missouri
Henry T. Nguyen
Henry T. Nguyen University of Missouri
Yi Shang
Yi Shang University of Missouri
Babu Valliyodan
Babu Valliyodan University of Missouri
Jianjiong Gao
Jianjiong Gao Memorial Sloan Kettering Cancer Center
Jay J. Thelen
Jay J. Thelen University of Missouri
Yanchun Liang
Yanchun Liang Jilin University
Guohui Lin
Guohui Lin University of Alberta

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