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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 55 2236 2009 1104 978 149 32491

Christina Curtis publications per year

The chart shows the history of publications by Christina Curtis between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Christina Curtis published across 22 years, from 2004 to 2025, averaging 13.5 papers a year. Output peaked at 92 publications in 2023. 47 of the 297 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 92. Peak 92 publications in 2023. 2004: 1 publication 2005: 0 publications 2006: 1 publication 2007: 2 publications 2008: 1 publication 2009: 6 publications 2010: 3 publications 2011: 2 publications 2012: 7 publications 2013: 10 publications 2014: 6 publications 2015: 7 publications 2016: 7 publications 2017: 9 publications 2018: 15 publications 2019: 14 publications 2020: 23 publications 2021: 25 publications 2022: 19 publications 2023: 92 publications 2024: 27 publications 2025: 20 publications
2004 2025

297 publications in total across all disciplines

View publications per year as a table
Christina Curtis: publications per year, 2004 to 2025
Year Publications
2004 1
2005 0
2006 1
2007 2
2008 1
2009 6
2010 3
2011 2
2012 7
2013 10
2014 6
2015 7
2016 7
2017 9
2018 15
2019 14
2020 23
2021 25
2022 19
2023 92
2024 27
2025 20
Total 297
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Christina Curtis 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 Christina Curtis 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, 147–156 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: 149 publications — 37th percentile

37% 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
147–156 146 149
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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Christina Curtis 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 Christina Curtis 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, 54–55 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: 55 D-Index — 27th percentile

27% 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 55
56–57 113
58–59 129
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
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Overview

Christina Curtis is affiliated with Stanford University in the United States. Their research spans multiple disciplines within biochemistry, genetics, and medicine, with a primary focus on molecular biology, cancer research, oncology, genetics, and pathology and forensic medicine.

The scientist's work covers several main topics, including:

  • Cancer Genomics and Diagnostics
  • Single-cell and spatial transcriptomics
  • Genetic factors in colorectal cancer
  • RNA modifications and cancer
  • Epigenetics and DNA Methylation
  • Cancer Immunotherapy and Biomarkers
  • Cancer Cells and Metastasis

Christina Curtis has contributed extensively to the academic literature. Some of the recent papers include:

  • "Multi-cancer analysis of clonality and the timing of systemic spread in paired primary tumors and metastases" (2020, Nature Genetics)
  • "CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities" (2020, Nature)
  • "Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer" (2022, Nature Genetics)
  • "An expanded universe of cancer targets" (2021, Cell)
  • "Inter-cellular CRISPR screens reveal regulators of cancer cell phagocytosis" (2021, Nature)

The scientist frequently publishes in several high-profile venues and journals, including:

  • Cancer Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Nature Genetics
  • Nature Cancer

Collaborations feature prominently in Christina Curtis's work, with frequent co-authors including:

  • Kathleen E. Houlahan
  • Aziz Khan
  • Zhicheng Ma
  • José A. Seoane
  • William J. Greenleaf

Best Publications

  • The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

    Christina Curtis;Christina Curtis;Sohrab P Shah;Suet-Feung Chin;Gulisa Turashvili

  • Comprehensive molecular characterization of gastric adenocarcinoma

    Adam J. Bass;Vesteinn Thorsson;Ilya Shmulevich;Sheila M. Reynolds

  • The clonal and mutational evolution spectrum of primary triple-negative breast cancers

    Sohrab P. Shah;Andrew Roth;Rodrigo Goya;Arusha Oloumi

  • Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics

    Andrea Sottoriva;Andrea Sottoriva;Andrea Sottoriva;Inmaculada Spiteri;Sara G. M. Piccirillo;Anestis Touloumis

  • Clonal replacement of tumor-specific T cells following PD-1 blockade.

    Kathryn E Yost;Ansuman T Satpathy;Daniel K Wells;Yanyan Qi

  • A Big Bang model of human colorectal tumor growth

    Andrea Sottoriva;Haeyoun Kang;Zhicheng Ma;Trevor A Graham

  • The chromatin accessibility landscape of primary human cancers

    M. Ryan Corces;Jeffrey M. Granja;Shadi Shams;Bryan H. Louie

  • The Human Tumor Atlas Network: Charting Tumor Transitions Across Space and Time at Single-Cell Resolution

    Orit Rozenblatt-Rosen;Aviv Regev;Aviv Regev;Aviv Regev;Philipp Oberdoerffer;Tal Nawy

  • The shaping and functional consequences of the microRNA landscape in breast cancer

    Heidi Dvinge;Anna Git;Stefan Gräf;Stefan Gräf;Mali Salmon-Divon;Mali Salmon-Divon

  • Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling

    Yinyin Yuan;Henrik Failmezger;Henrik Failmezger;Oscar M. Rueda;H. Raza Ali

  • Promoter of lncRNA Gene PVT1 Is a Tumor-Suppressor DNA Boundary Element

    Seung Woo Cho;Jin Xu;Ruping Sun;Maxwell R. Mumbach

  • Quantitative evidence for early metastatic seeding in colorectal cancer.

    Zheng Hu;Jie Ding;Zhicheng Ma;Ruping Sun

  • Intestinal enteroendocrine lineage cells possess homeostatic and injury-inducible stem cell activity

    Kelley S. Yan;Kelley S. Yan;Olivier Gevaert;Grace X.Y. Zheng;Benedict Anchang

  • Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.

    Oscar M. Rueda;Stephen John Sammut;José A. Seoane;Suet-Feung Chin

  • Multi-cancer analysis of clonality and the timing of systemic spread in paired primary tumors and metastases.

    Zheng Hu;Zan Li;Zhicheng Ma;Christina Curtis

  • Quantification of subclonal selection in cancer from bulk sequencing data.

    Marc J Williams;Marc J Williams;Benjamin Werner;Timon Heide;Christina Curtis

  • CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities.

    Kyuho Han;Sarah E. Pierce;Amy Li;Kaitlyn Spees

  • Genome-driven integrated classification of breast cancer validated in over 7,500 samples

    H Raza Ali;Oscar M Rueda;Suet-Feung Chin;Christina Curtis

  • An expanded universe of cancer targets.

    William C. Hahn;Joel S. Bader;Theodore P. Braun;Andrea Califano

  • Supplementary Materials for Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling

    Yinyin Yuan;Henrik Failmezger;Oscar M. Rueda;H. Raza Ali

Frequent Co-Authors

Carlos Caldas
Carlos Caldas University of Cambridge
Simon Tavaré
Simon Tavaré Columbia University
Samuel Aparicio
Samuel Aparicio University of British Columbia
Suet-Feung Chin
Suet-Feung Chin University of Cambridge
Michael F. Press
Michael F. Press University of Southern California
Robert B. West
Robert B. West Stanford University
John C. Marioni
John C. Marioni European Bioinformatics Institute
Calvin J. Kuo
Calvin J. Kuo Stanford University
Colin Watts
Colin Watts University of Birmingham
Laura D. Attardi
Laura D. Attardi Stanford University

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