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Christina Kendziorski

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 50 3907 3687 1685 1583 134 13003

Christina Kendziorski publications per year

The chart shows the history of publications by Christina Kendziorski between 1998 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Christina Kendziorski published across 29 years, from 1998 to 2026, averaging 6.3 papers a year. Output peaked at 15 publications in 2024. 10 of the 182 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1998 to 2026. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2024. 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 2 publications 2002: 2 publications 2003: 5 publications 2004: 2 publications 2005: 5 publications 2006: 8 publications 2007: 10 publications 2008: 7 publications 2009: 5 publications 2010: 1 publication 2011: 5 publications 2012: 10 publications 2013: 9 publications 2014: 9 publications 2015: 11 publications 2016: 9 publications 2017: 6 publications 2018: 4 publications 2019: 13 publications 2020: 5 publications 2021: 12 publications 2022: 8 publications 2023: 8 publications 2024: 15 publications 2025: 9 publications 2026: 1 publication
1998 2026

182 publications in total across all disciplines

View publications per year as a table
Christina Kendziorski: publications per year, 1998 to 2026
Year Publications
1998 1
1999 0
2000 0
2001 2
2002 2
2003 5
2004 2
2005 5
2006 8
2007 10
2008 7
2009 5
2010 1
2011 5
2012 10
2013 9
2014 9
2015 11
2016 9
2017 6
2018 4
2019 13
2020 5
2021 12
2022 8
2023 8
2024 15
2025 9
2026 1
Total 182
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Christina Kendziorski 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 Christina Kendziorski 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, 125–134 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: 134 publications — 23rd percentile

23% 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
125–134 217 134
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
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

Christina Kendziorski 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 Christina Kendziorski 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, 50–51 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: 50 D-Index — 11th percentile

11% 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 50
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
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

Research.com Recognitions

  • 2018 - Fellow of the American Statistical Association (ASA)

Overview

Christina Kendziorski is affiliated with the University of Wisconsin-Madison in the United States. Their research spans several areas within biochemistry, genetics, molecular biology, and medicine, with a particular focus on molecular biology and related subfields. Kendziorski's work is prominently situated in the study of single-cell and spatial transcriptomics, gene expression and cancer classification, and cancer genomics and diagnostics.

The scientist has contributed extensively to topics including:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Cancer genomics and diagnostics
  • Brain metastases and treatment
  • Immune cells in cancer
  • Glioma diagnosis and treatment
  • Lung cancer research studies

Kendziorski has authored multiple papers across reputable publication venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Journal of Investigative Dermatology
  • SSRN Electronic Journal
  • Nature Communications

Among recent papers are the following notable works:

  • SpotClean adjusts for spot swapping in spatial transcriptomics data, 2022, Nature Communications
  • Interspecies chimeric conditions affect the developmental rate of human pluripotent stem cells, 2021, PLoS Computational Biology
  • Identification of direct transcriptional targets of NFATC2 that promote β cell proliferation, 2021, Journal of Clinical Investigation
  • CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data, 2020, Genome Biology
  • Normalization by distributional resampling of high throughput single-cell RNA-sequencing data, 2021, Bioinformatics

Kendziorski collaborates frequently with several researchers, including:

  • Chitrasen Mohanty
  • Zijian Ni
  • Jared Brown
  • Gopal Iyer
  • Jack Shireman

The scientist's research fields emphasize molecular biology and immunology with extensions into pulmonary and respiratory medicine, oncology, and cancer research.

Recognition of their contributions includes the designation as a Fellow of the American Statistical Association in 2018.

Best Publications

  • EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

    Ning Leng;John A. Dawson;James A. Thomson;Victor Ruotti

  • Loss of stearoyl–CoA desaturase-1 function protects mice against adiposity

    James M. Ntambi;Makoto Miyazaki;Jonathan P. Stoehr;Hong Lan

  • The Collaborative Cross, a community resource for the genetic analysis of complex traits

    Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel

  • On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data.

    M. A. Newton;C. M. Kendziorski;C. S. Richmond;Frederick R. Blattner

  • On the utility of pooling biological samples in microarray experiments.

    C. Kendziorski;R. A. Irizarry;K.-S. Chen;J. D. Haag

  • Design and computational analysis of single-cell RNA-sequencing experiments

    Rhonda Bacher;Christina Kendziorski

  • On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles

    C. M. Kendziorski;M. A. Newton;H. Lan;M. N. Gould

  • Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm

    Li-Fang Chu;Ning Leng;Ning Leng;Jue Zhang;Zhonggang Hou;Zhonggang Hou

  • A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility

    Mark P Keller;YounJeong Choi;Ping Wang;Dawn Belt Davis

  • The efficiency of pooling mRNA in microarray experiments.

    C. M. Kendziorski;Y. Zhang;H. Lan;A. D. Attie

  • SCnorm: robust normalization of single-cell RNA-seq data

    Rhonda Bacher;Li-Fang Chu;Ning Leng;Audrey P Gasch

  • A PtdIns4,5P2-regulated nuclear poly(A) polymerase controls expression of select mRNAs.

    David L. Mellman;Michael L. Gonzales;Chunhua Song;Christy A. Barlow

  • A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.

    Keegan D. Korthauer;Li-Fang Chu;Michael A. Newton;Yuan Li

  • Genetic Networks of Liver Metabolism Revealed by Integration of Metabolic and Transcriptional Profiling

    Christine T. Ferrara;Christine T. Ferrara;Ping Wang;Elias Chaibub Neto;Robert D. Stevens

  • The IRP1-HIF-2α Axis Coordinates Iron and Oxygen Sensing with Erythropoiesis and Iron Absorption

    Sheila A. Anderson;Christopher P. Nizzi;Yuan I. Chang;Kathryn M. Deck

  • Statistical methods for expression quantitative trait loci (eQTL) mapping.

    C. M. Kendziorski;M. Chen;M. Yuan;H. Lan

  • Gene expression profiling of aging reveals activation of a p53-mediated transcriptional program

    Michael G Edwards;Rozalyn M Anderson;Ming Yuan;Christina M Kendziorski

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

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

  • Combined expression trait correlations and expression quantitative trait locus mapping.

    Hong Lan;Meng Chen;Jessica B Flowers;Brian S Yandell

  • Statistical methods for gene set co-expression analysis

    YounJeong Choi;Christina Kendziorski

Frequent Co-Authors

James A. Thomson
James A. Thomson University of California, Santa Barbara
Alan D. Attie
Alan D. Attie University of Wisconsin–Madison
Ron Stewart
Ron Stewart Morgridge Institute for Research
Brian S. Yandell
Brian S. Yandell University of Wisconsin–Madison
Karl W. Broman
Karl W. Broman University of Wisconsin–Madison
Eric E. Schadt
Eric E. Schadt Icahn School of Medicine at Mount Sinai
Michael N. Gould
Michael N. Gould University of Wisconsin–Madison
James M. Ntambi
James M. Ntambi University of Wisconsin–Madison
Audrey P. Gasch
Audrey P. Gasch University of Wisconsin–Madison
Ming Yuan
Ming Yuan Columbia University

External Links

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Best Scientists Citing Christina Kendziorski

James M. Ntambi

James M. Ntambi

University of Wisconsin–Madison

Publications: 81

Gary A. Churchill

Gary A. Churchill

The Jackson Laboratory

Publications: 65

Christopher B. Newgard

Christopher B. Newgard

Duke University

Publications: 64

Olga Ilkayeva

Olga Ilkayeva

Duke University

Publications: 53

Eric E. Schadt

Eric E. Schadt

Icahn School of Medicine at Mount Sinai

Publications: 48

Fernando Pardo-Manuel de Villena

Fernando Pardo-Manuel de Villena

University of North Carolina at Chapel Hill

Publications: 46

Elissa J. Chesler

Elissa J. Chesler

University of Tennessee at Knoxville

Publications: 45

Richard Mott

Richard Mott

University College London

Publications: 44

Alan D. Attie

Alan D. Attie

University of Wisconsin–Madison

Publications: 43

Aldons J. Lusis

Aldons J. Lusis

University of California, Los Angeles

Publications: 42

David W. Threadgill

David W. Threadgill

Texas A&M University

Publications: 41

Robert W. Williams

Robert W. Williams

University of Tennessee Health Science Center

Publications: 35

Karl W. Broman

Karl W. Broman

University of Wisconsin–Madison

Publications: 34

James A. Thomson

James A. Thomson

University of California, Santa Barbara

Publications: 32

Xia Yang

Xia Yang

University of California, Los Angeles

Publications: 31

John C. Marioni

John C. Marioni

European Bioinformatics Institute

Publications: 30

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