World's Best Scientists 2026 revealed!
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Xia Yang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 61 3050 2889 1332 1251 246 15350

Xia Yang publications per year

The chart shows the history of publications by Xia Yang between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Xia Yang published across 28 years, from 1999 to 2026, averaging 25.5 papers a year. Output peaked at 308 publications in 2026. 390 of the 714 publications appeared in the last two years.

No. of publications
100 200 300
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 308. Peak 308 publications in 2026. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 1 publication 2006: 3 publications 2007: 2 publications 2008: 4 publications 2009: 6 publications 2010: 4 publications 2011: 3 publications 2012: 13 publications 2013: 7 publications 2014: 13 publications 2015: 14 publications 2016: 18 publications 2017: 8 publications 2018: 39 publications 2019: 21 publications 2020: 26 publications 2021: 32 publications 2022: 34 publications 2023: 46 publications 2024: 28 publications 2025: 82 publications 2026: 308 publications
1999 2026

714 publications in total across all disciplines

View publications per year as a table
Xia Yang: publications per year, 1999 to 2026
Year Publications
1999 1
2000 0
2001 0
2002 0
2003 0
2004 1
2005 1
2006 3
2007 2
2008 4
2009 6
2010 4
2011 3
2012 13
2013 7
2014 13
2015 14
2016 18
2017 8
2018 39
2019 21
2020 26
2021 32
2022 34
2023 46
2024 28
2025 82
2026 308
Total 714
Download as CSV

Xia Yang 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 Xia Yang 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, 245–254 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: 246 publications — 65th percentile

65% 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
245–254 114 246
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

Xia Yang 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 Xia Yang 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, 60–61 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: 61 D-Index — 31st percentile

31% 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 61
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
Download as CSV

Overview

Xia Yang is affiliated with the University of California, Los Angeles in the United States. Their primary fields of study include Medicine and Biochemistry, Genetics and Molecular Biology, with substantial contributions to subfields such as Molecular Biology, Physiology, Epidemiology, Neurology, and Genetics.

The scientist's research spans several main topics, including:

  • Single-cell and spatial transcriptomics
  • Adipose Tissue and Metabolism
  • Bioinformatics and Genomic Networks
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Diet, Metabolism, and Disease
  • Liver Disease Diagnosis and Treatment
  • Diet and metabolism studies

Xia Yang has frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), eLife, Circulation, Research Square, and Cell Reports. These outlets reflect a focus on cutting-edge biomedical and genomic research platforms.

Their recent papers include:

  • Conservation and divergence of vulnerability and responses to stressors between human and mouse astrocytes, 2021, Nature Communications
  • Joint cell segmentation and cell type annotation for spatial transcriptomics, 2021, Molecular Systems Biology
  • Hypothalamic oestrogen receptor alpha establishes a sexually dimorphic regulatory node of energy expenditure, 2020, Nature Metabolism
  • Single-cell RNA-seq analysis of the brainstem of mutant SOD1 mice reveals perturbed cell types and pathways of amyotrophic lateral sclerosis, 2020, Neurobiology of Disease
  • Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics, 2021, Nucleic Acids Research

Xia Yang collaborates regularly with several researchers, including:

  • Graciel Diamante
  • In Sook Ahn
  • Montgomery Blencowe
  • Ingrid Cely
  • Aldons J. Lusis

Best Publications

  • An integrative genomics approach to infer causal associations between gene expression and disease

    Eric E Schadt;John Lamb;Xia Yang;Jun Zhu

  • Mapping the Genetic Architecture of Gene Expression in Human Liver

    Eric E. Schadt;Cliona Molony;Eugene Chudin;Ke-Ke Hao

  • Variations in DNA elucidate molecular networks that cause disease

    Yanqing Chen;Jun Zhu;Pek Yee Lum;Xia Yang

  • Tissue-specific expression and regulation of sexually dimorphic genes in mice

    Xia Yang;Eric E. Schadt;Susanna Wang;Hui Wang

  • Relationship of Paraoxonase 1 (PON1) Gene Polymorphisms and Functional Activity With Systemic Oxidative Stress and Cardiovascular Risk

    Tamali Bhattacharyya;Stephen J. Nicholls;Eric J. Topol;Renliang Zhang

  • Co-regulatory networks of human serum proteins link genetics to disease

    Valur Emilsson;Marjan Ilkov;John R. Lamb;Nancy Finkel

  • Dosage compensation is less effective in birds than in mammals.

    Yuichiro Itoh;Esther Melamed;Xia Yang;Kathy Kampf

  • Impact of type 2 diabetes susceptibility variants on quantitative glycemic traits reveals mechanistic heterogeneity

    Antigone S Dimas;Vasiliki Lagou;Adam Barker;Joshua W Knowles

  • Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks.

    Xia Yang;Joshua L Deignan;Hongxiu Qi;Jun Zhu

  • Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver

    Xia Yang;Bin Zhang;Cliona Molony;Eugene Chudin

  • Integrating Pathway Analysis and Genetics of Gene Expression for Genome-wide Association Studies

    Hua Zhong;Xia Yang;Lee M. Kaplan;Cliona Molony

  • Extended Multiplexing of Tandem Mass Tags (TMT) Labeling Reveals Age and High Fat Diet Specific Proteome Changes in Mouse Epididymal Adipose Tissue.

    Deanna L. Plubell;Phillip A. Wilmarth;Yuqi Zhao;Alexandra M. Fenton

  • Sherlock: detecting gene-disease associations by matching patterns of expression QTL and GWAS.

    Xin He;Chris K. Fuller;Yi Song;Qingying Meng

  • Targeting BCAA Catabolism to Treat Obesity-Associated Insulin Resistance.

    Meiyi Zhou;Jing Shao;Cheng Yang Wu;Le Shu

  • Integrative genomics reveals novel molecular pathways and gene networks for coronary artery disease.

    Ville-Petteri Mäkinen;Mete Civelek;Qingying Meng;Bin Zhang

  • Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases

    Manikandan Narayanan;Jimmy L Huynh;Kai Wang;Xia Yang

  • Liver and Adipose Expression Associated SNPs Are Enriched for Association to Type 2 Diabetes

    Hua Zhong;John Beaulaurier;Pek Yee Lum;Cliona Molony

  • Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis

    Moritz von Scheidt;Yuqi Zhao;Zeyneb Kurt;Calvin Pan

  • A Systems Biology Framework Identifies Molecular Underpinnings of Coronary Heart Disease

    Tianxiao Huan;Bin Zhang;Zhi Wang;Roby Joehanes

  • Impact of Type 2 Diabetes Susceptibility Variants on Quantitative Glycemic Traits Reveals Mechanistic Heterogeneity

    Antigone S. Dimas;Vasiliki Lagou;Adam Barker;Joshua W. Knowles

Frequent Co-Authors

Aldons J. Lusis
Aldons J. Lusis University of California, Los Angeles
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai
Jun Zhu
Jun Zhu Icahn School of Medicine at Mount Sinai
Eric E. Schadt
Eric E. Schadt Icahn School of Medicine at Mount Sinai
Fernando Gomez-Pinilla
Fernando Gomez-Pinilla University of California, Los Angeles
Zhe Ying
Zhe Ying University of California, Los Angeles
Themistocles L. Assimes
Themistocles L. Assimes Stanford University
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Thomas Quertermous
Thomas Quertermous Stanford University
Ke Hao
Ke Hao Icahn School of Medicine at Mount Sinai

External Links

Personal website of Xia Yang

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Related Online Degrees & Career Pathways

If you are exploring a future in genetics, there are many online degree options and alternative career pathways to consider. Many students begin in related fields such as healthcare administration or medical technology, gaining foundational knowledge before specializing in genetics.

For those interested in administrative roles in healthcare, accredited medical billing and coding schools with financial aid provide flexible, affordable entry into the field. If you prefer a faster route, some colleges with accelerated programs allow you to complete your coursework more quickly and enter the workforce sooner.

Learners who need flexibility due to work or life commitments may benefit from self paced college courses, ideal for balancing studies with other responsibilities. Additionally, those concerned about upfront costs can explore accredited online universities offering no application fees, making it easier to get started.

Whether you're beginning with healthcare basics or looking to advance into genetics, these options provide accessible, flexible pathways toward your career goals.

Best Scientists Citing Xia Yang

Eric E. Schadt

Eric E. Schadt

Icahn School of Medicine at Mount Sinai

Publications: 170

Mark I. McCarthy

Mark I. McCarthy

Genentech

Publications: 121

Aldons J. Lusis

Aldons J. Lusis

University of California, Los Angeles

Publications: 91

Anna L. Gloyn

Anna L. Gloyn

Stanford University

Publications: 66

Jun Zhu

Jun Zhu

Icahn School of Medicine at Mount Sinai

Publications: 63

André G. Uitterlinden

André G. Uitterlinden

Erasmus University Rotterdam

Publications: 58

Bin Zhang

Bin Zhang

Icahn School of Medicine at Mount Sinai

Publications: 56

Eric Boerwinkle

Eric Boerwinkle

The University of Texas Health Science Center at Houston

Publications: 55

Claudia Langenberg

Claudia Langenberg

Queen Mary University of London

Publications: 49

Albert Hofman

Albert Hofman

Harvard University

Publications: 49

Vilmundur Gudnason

Vilmundur Gudnason

University of Iceland

Publications: 49

Leif Groop

Leif Groop

Lund University

Publications: 48

Nilesh J. Samani

Nilesh J. Samani

University of Leicester

Publications: 48

Inês Barroso

Inês Barroso

University of Exeter

Publications: 48

Emmanouil T. Dermitzakis

Emmanouil T. Dermitzakis

University of Geneva

Publications: 48

Zoltán Kutalik

Zoltán Kutalik

University of Lausanne

Publications: 47

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