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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 59 2017 1813 1002 887 141 13287

Xiao-Jing Wang publications per year

The chart shows the history of publications by Xiao-Jing Wang between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xiao-Jing Wang published across 32 years, from 1994 to 2025, averaging 9.7 papers a year. Output peaked at 87 publications in 2023. 21 of the 310 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 87. Peak 87 publications in 2023. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 4 publications 1999: 2 publications 2000: 3 publications 2001: 5 publications 2002: 3 publications 2003: 0 publications 2004: 8 publications 2005: 2 publications 2006: 8 publications 2007: 6 publications 2008: 7 publications 2009: 6 publications 2010: 9 publications 2011: 10 publications 2012: 8 publications 2013: 14 publications 2014: 9 publications 2015: 12 publications 2016: 14 publications 2017: 6 publications 2018: 9 publications 2019: 11 publications 2020: 16 publications 2021: 12 publications 2022: 16 publications 2023: 87 publications 2024: 9 publications 2025: 12 publications
1994 2025

310 publications in total across all disciplines

View publications per year as a table
Xiao-Jing Wang: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 1
1998 4
1999 2
2000 3
2001 5
2002 3
2003 0
2004 8
2005 2
2006 8
2007 6
2008 7
2009 6
2010 9
2011 10
2012 8
2013 14
2014 9
2015 12
2016 14
2017 6
2018 9
2019 11
2020 16
2021 12
2022 16
2023 87
2024 9
2025 12
Total 310
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Xiao-Jing Wang publications per year - data summary

  • Xiao-Jing Wang, a Molecular Biology scholar from University of California, Davis, has 310 publications recorded across 32 years, from 1994 to 2025.
  • The oldest publication on record dates to 1994 and the most recent to 2025.
  • The most productive year is 2023, with 87 publications.
  • The least productive years with any output are 1994 and 1997, with 1 publication each.
  • 3 of the 32 years in the span carry no publications at all (1995, 1996 and 2003).
  • The rate of publication averages 9.7 papers per year over the whole span, or 10.7 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 136 publications, 44% of the career total.
  • Split into equal eras - 1994-2004: 27 publications (2.5 per year); 2005-2015: 91 publications (8.3 per year); 2016-2025: 192 publications (19.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Xiao-Jing Wang publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Xiao-Jing Wang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 137–146 publications, is where this scientist sits. 47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47–56 publications 564+

This scientist: 141 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158 141
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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Xiao-Jing Wang publication distribution in Molecular Biology in 2026 - data summary

  • The chart plots the publication count of all 3,076 Molecular Biology scientists ranked by Research.com in 2026, grouped into 53 ranges running from 47–56 to 564+ publications.
  • Xiao-Jing Wang, a Molecular Biology scholar from University of California, Davis, records 141 publications - the 33rd percentile of the discipline.
  • 33% of ranked Molecular Biology scientists score the same or lower than Xiao-Jing Wang, and about 67% score higher.
  • The median of the discipline falls in the 177–186 publications range, and Xiao-Jing Wang ranks below the median.
  • The most crowded range is 117–126 publications, holding 177 scientists (6% of the field).
  • 53% of the field sits in the lowest quarter of the value range (up to 177–186 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 564 publications or more, 100 scientists in all (3% of the field).

Xiao-Jing Wang D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Xiao-Jing Wang sits on this spectrum.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40–41 D-Index 145+

This scientist: 59 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129 59
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
Download as CSV

Xiao-Jing Wang D-index placement in Molecular Biology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,076 Molecular Biology scientists ranked by Research.com in 2026, grouped into 54 ranges running from 40–41 to 145+ D-Index.
  • Xiao-Jing Wang, a Molecular Biology scholar from University of California, Davis, records 59 D-Index - the 35th percentile of the discipline.
  • 35% of ranked Molecular Biology scientists score the same or lower than Xiao-Jing Wang, and about 65% score higher.
  • The median of the discipline falls in the 68–69 D-Index range, and Xiao-Jing Wang ranks below the median.
  • The most crowded range is 64–65 D-Index, holding 131 scientists (4% of the field).
  • 50% of the field sits in the lowest quarter of the value range (up to 66–67 D-Index), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 145 D-Index or more, 100 scientists in all (3% of the field).

Overview

Xiao-Jing Wang is affiliated with the University of California, Davis in the United States. Their research contributions primarily focus on the intersection of medicine, biochemistry, genetics, and molecular biology, with a significant involvement in oncology and immunology subfields.

Their scholarly output includes 72 publications in medicine and 50 in biochemistry, genetics, and molecular biology. Within these areas, Wang has concentrated on oncology, immunology, molecular biology, cancer research, and pulmonary and respiratory medicine. This work spans specific topics such as cancer cells and metastasis, cancer immunotherapy and biomarkers, immunotherapy and immune responses, immune cells in cancer, immune cell function and interaction, TGF-β signaling in diseases, and cancer genomics and diagnostics.

Wang has published in various research venues, frequently contributing to:

  • Cancer Research
  • Molecular Carcinogenesis
  • Journal of Investigative Dermatology
  • Journal for ImmunoTherapy of Cancer
  • Nature Communications

Several recent papers authored or co-authored by Wang address topics in cancer biology, immunotherapy, and molecular signaling. Selected works include:

  • "Transforming Growth Factor-β Signaling in Fibrotic Diseases and Cancer-Associated Fibroblasts," 2020, Biomolecules
  • "Elective nodal irradiation mitigates local and systemic immunity generated by combination radiation and immunotherapy in head and neck tumors," 2022, Nature Communications
  • "Cancer Cell CD44 Mediates Macrophage/Monocyte-Driven Regulation of Head and Neck Cancer Stem Cells," 2020, Cancer Research
  • "Dual inhibition of TGF-β and PD-L1: a novel approach to cancer treatment," 2021, Molecular Oncology
  • "Blockade of the CD93 pathway normalizes tumor vasculature to facilitate drug delivery and immunotherapy," 2021, Science Translational Medicine

Collaborative work is an important aspect of Wang's research, with frequent co-authors including:

  • Christian D. Young
  • Sana D. Karam
  • Li Bian
  • Jing Wang
  • Yao Ke

Best Publications

  • p63 is a p53 homologue required for limb and epidermal morphogenesis.

    Alea A. Mills;Binhai Zheng;Xiao-Jing Wang;Hannes Vogel

  • Caspase 3-mediated stimulation of tumor cell repopulation during cancer radiotherapy

    Qian Huang;Fang-Fang Li;Xinjian Liu;Wenrong Li

  • CIP2A Inhibits PP2A in Human Malignancies

    Melissa R. Junttila;Pietri Puustinen;Minna Niemelä;Minna Niemelä;Raija Ahola

  • Deregulated expression of c-Myc depletes epidermal stem cells.

    Rebekah L. Waikel;Yasuhiro Kawachi;Patricia A. Waikel;Xiao-Jing Wang

  • Induction of sonic hedgehog mediators by transforming growth factor-beta: Smad3-dependent activation of Gli2 and Gli1 expression in vitro and in vivo.

    Sylviane Dennler;Jocelyne André;Ismini Alexaki;Allen Li

  • Distinct mechanisms of TGF-β1–mediated epithelial-to-mesenchymal transition and metastasis during skin carcinogenesis

    Gangwen Han;Shi Long Lu;Allen G. Li;Wei He

  • Role of TGFβ-Mediated Inflammation in Cutaneous Wound Healing

    Xiao-Jing Wang;Gangwen Han;Philip Owens;Yasmin Siddiqui

  • Smad4 loss in mice causes spontaneous head and neck cancer with increased genomic instability and inflammation

    Sophia Bornstein;Ruth White;Ruth White;Stephen Malkoski;Masako Oka

  • Targeted Disruption of TGF-β/Smad3 Signaling Modulates Skin Fibrosis in a Mouse Model of Scleroderma

    Gabriella Lakos;Shinsuke Takagawa;Shu Jen Chen;Ahalia M. Ferreira

  • Latent TGFβ1 overexpression in keratinocytes results in a severe psoriasis‐like skin disorder

    Allen G Li;Donna Wang;Xin-Hua Feng;Xiao-Jing Wang

  • Keratinocyte-specific Smad2 ablation results in increased epithelial-mesenchymal transition during skin cancer formation and progression

    Kristina E. Hoot;Jessyka Lighthall;Gangwen Han;Shi Long Lu

  • Overexpression of Transforming Growth Factor β1 in Head and Neck Epithelia Results in Inflammation, Angiogenesis, and Epithelial Hyperproliferation

    Shi Long Lu;Douglas Reh;Allen G. Li;Jennifer Woods

  • Involvement of IL-9 in Th17-associated inflammation and angiogenesis of psoriasis.

    Tej Pratap Singh;Michael P. Schön;Katrin Wallbrecht;Alexandra Gruber-Wackernagel

  • Loss of transforming growth factor-β type II receptor promotes metastatic head-and-neck squamous cell carcinoma

    Shi Long Lu;Heather Herrington;Douglas Reh;Stephen Weber

  • Genome-wide expression profiling of five mouse models identifies similarities and differences with human psoriasis.

    William R. Swindell;Andrew Johnston;Steve Carbajal;Gangwen Han

  • MicroRNA-31 Is Overexpressed in Psoriasis and Modulates Inflammatory Cytokine and Chemokine Production in Keratinocytes via Targeting Serine/Threonine Kinase 40

    Ning Xu;Florian Meisgen;Lynn M. Butler;Gangwen Han

  • An inducible mouse model for epidermolysis bullosa simplex: implications for gene therapy.

    Tongyu Cao;Mary Ann Longley;Xiao Jing Wang;Dennis R. Roop

  • Expression of a dominant-negative type II transforming growth factor β (TGF-β) receptor in the epidermis of transgenic mice blocks TGF-β-mediated growth inhibition

    Xiao-Jing Wang;David A. Greenhalgh;Jackie R. Bickenbach;Aibo Jiang

  • The Pro-inflammatory Role of TGFβ1: A Paradox?

    Gangwen Han;Fulun Li;Tej Pratap Singh;Peter Wolf

  • Smad7-Induced β-Catenin Degradation Alters Epidermal Appendage Development

    Gangwen Han;Allen G. Li;Yao-Yun Liang;Philip Owens

Frequent Co-Authors

Antonio Jimeno
Antonio Jimeno University of Colorado Boulder
Dennis R. Roop
Dennis R. Roop University of Colorado Anschutz Medical Campus
Aik Choon Tan
Aik Choon Tan University of Utah
Michael P. Schön
Michael P. Schön University of Göttingen
Rui Zhao
Rui Zhao University of Colorado Anschutz Medical Campus
David A. Norris
David A. Norris University of Colorado Anschutz Medical Campus
Erwin P. Bottinger
Erwin P. Bottinger Hasso Plattner Institute
Jukka Westermarck
Jukka Westermarck Åbo Akademi University
Chu-Xia Deng
Chu-Xia Deng University of Macau
Elena B. Pasquale
Elena B. Pasquale Discovery Institute

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