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Michael C. Holmes

Michael C. Holmes

Ambys Medicines
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Genetics 67 2486 2359 1115 1046 190 32474

Michael C. Holmes publications per year

The chart shows the history of publications by Michael C. Holmes between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Michael C. Holmes published across 24 years, from 2002 to 2025, averaging 8.5 papers a year. Output peaked at 29 publications in 2015. 3 of the 205 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2015. 2002: 5 publications 2003: 1 publication 2004: 2 publications 2005: 6 publications 2006: 8 publications 2007: 6 publications 2008: 6 publications 2009: 5 publications 2010: 14 publications 2011: 14 publications 2012: 10 publications 2013: 19 publications 2014: 13 publications 2015: 29 publications 2016: 28 publications 2017: 11 publications 2018: 11 publications 2019: 6 publications 2020: 2 publications 2021: 3 publications 2022: 1 publication 2023: 2 publications 2024: 2 publications 2025: 1 publication
2002 2025

205 publications in total across all disciplines

View publications per year as a table
Michael C. Holmes: publications per year, 2002 to 2025
Year Publications
2002 5
2003 1
2004 2
2005 6
2006 8
2007 6
2008 6
2009 5
2010 14
2011 14
2012 10
2013 19
2014 13
2015 29
2016 28
2017 11
2018 11
2019 6
2020 2
2021 3
2022 1
2023 2
2024 2
2025 1
Total 205
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Michael C. Holmes 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 Michael C. Holmes 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, 185–194 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: 190 publications — 46th percentile

46% 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
185–194 164 190
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
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Michael C. Holmes 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 Michael C. Holmes 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, 66–67 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: 67 D-Index — 43rd percentile

43% 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 67
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
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Overview

Michael C. Holmes is affiliated with Ambys Medicines in the United States. Their research spans multiple areas within medicine and biochemistry, genetics, and molecular biology, with a notable focus on molecular biology and oncology.

Their recent publications demonstrate active engagement in advanced therapeutic and genetic engineering fields. Significant papers include:

  • Off-the-shelf, steroid-resistant, IL13Rα2-specific CAR T cells for treatment of glioblastoma (2022, Neuro-Oncology)
  • Persistent repression of tau in the brain using engineered zinc finger protein transcription factors (2021, Science Advances)
  • AAV2/6 Gene Therapy in a Murine Model of Fabry Disease Results in Supraphysiological Enzyme Activity and Effective Substrate Reduction (2020, Molecular Therapy - Methods & Clinical Development)
  • ZFN-mediated in vivo gene editing in hepatocytes leads to supraphysiologic α-Gal A activity and effective substrate reduction in Fabry mice (2021, Molecular Therapy)
  • Deploying an RNA-Based Gene Writer System and Lipid Nanoparticle (LNP) Delivery to Generate Functional Chimeric Antigen Receptor (CAR) T Cells with in Vitro and In Vivo Anti-Tumor Activity (2023, Blood)

The most frequent publication venues include Blood, Neuro-Oncology, Science Advances, Molecular Therapy - Methods & Clinical Development, and Molecular Therapy. These venues reflect a focus on clinical and translational research, particularly concerning gene therapy and immunotherapy.

Holmes collaborates regularly with several researchers, including Jason Rodriguez, Cecilia Cotta-Ramusino, Alberto De Iaco, James B. Rottman, and Yu Cao, each with multiple joint publications. This suggests active engagement in collaborative research projects within related fields.

The main fields of study encompass medicine and biochemistry, genetics, and molecular biology, with subfields notably covering molecular biology, oncology, physiology, epidemiology, and biomedical engineering. The breadth of subfields indicates a multidisciplinary approach to scientific inquiry.

The principal research topics of Holmes include:

  • CAR-T cell therapy research
  • Lysosomal Storage Disorders Research
  • Trypanosoma species research and implications
  • CRISPR and Genetic Engineering
  • RNA Interference and Gene Delivery
  • Nanowire Synthesis and Applications
  • Advancements in Semiconductor Devices and Circuit Design

Best Publications

  • Genome editing with engineered zinc finger nucleases

    Fyodor D. Urnov;Edward J. Rebar;Michael C. Holmes;H. Steve Zhang

  • A TALE nuclease architecture for efficient genome editing

    Jeffrey C Miller;Siyuan Tan;Guijuan Qiao;Kyle A Barlow

  • Highly efficient endogenous human gene correction using designed zinc-finger nucleases

    Fyodor D. Urnov;Jeffrey C. Miller;Ya-Li Lee;Christian M. Beausejour

  • Gene editing of CCR5 in autologous CD4 T cells of persons infected with HIV.

    Pablo Tebas;David Stein;Winson W. Tang;Ian Frank

  • An improved zinc-finger nuclease architecture for highly specific genome editing

    Jeffrey C Miller;Michael C Holmes;Jianbin Wang;Dmitry Y Guschin

  • Distinct Factors Control Histone Variant H3.3 Localization at Specific Genomic Regions

    Aaron D. Goldberg;Laura A. Banaszynski;Kyung Min Noh;Peter W. Lewis

  • Establishment of HIV-1 resistance in CD4+ T cells by genome editing using zinc-finger nucleases

    Elena E. Perez;Jianbin Wang;Jeffrey C. Miller;Yann Jouvenot;Yann Jouvenot

  • Gene editing in human stem cells using zinc finger nucleases and integrase-defective lentiviral vector delivery

    A. Lombardo;A. Lombardo;P. Genovese;P. Genovese;C.M. Beausejour;C.M. Beausejour;S. Colleoni;S. Colleoni

  • Human hematopoietic stem/progenitor cells modified by zinc-finger nucleases targeted to CCR5 control HIV-1 in vivo

    Nathalia Holt;Jianbin Wang;Kenneth Kim;Geoffrey Friedman

  • Targeted gene correction of α1-antitrypsin deficiency in induced pluripotent stem cells

    Kosuke Yusa;S. Tamir Rashid;Helene Strick-Marchand;Helene Strick-Marchand;Ignacio Varela

  • In vivo genome editing restores haemostasis in a mouse model of haemophilia

    Hojun Li;Virginia Haurigot;Yannick Doyon;Tianjian Li

  • Targeted genome editing in human repopulating haematopoietic stem cells

    Pietro Genovese;Giulia Schiroli;Giulia Escobar;Tiziano Di Tomaso

  • An unbiased genome-wide analysis of zinc-finger nuclease specificity

    Richard Gabriel;Angelo Lombardo;Anne Arens;Jeffrey C Miller

  • A rapid and general assay for monitoring endogenous gene modification.

    Dmitry Guschin;Adam James Waite;Adam James Waite;George E. Katibah;Jeffrey C. Miller

  • A foundation for universal T-cell based immunotherapy: T cells engineered to express a CD19-specific chimeric-antigen-receptor and eliminate expression of endogenous TCR.

    Hiroki Torikai;Andreas Reik;Pei Qi Liu;Yuanyue Zhou

  • Editing T cell specificity towards leukemia by zinc finger nucleases and lentiviral gene transfer

    Elena Provasi;Pietro Genovese;Angelo Lombardo;Zulma Magnani

  • Targeted gene addition into a specified location in the human genome using designed zinc finger nucleases.

    Erica A. Moehle;Jeremy M. Rock;Ya-Li Lee;Yann Jouvenot

  • Enhancing zinc-finger-nuclease activity with improved obligate heterodimeric architectures

    Yannick Doyon;Thuy D Vo;Matthew C Mendel;Shon G Greenberg

  • Targeted gene knockout in mammalian cells by using engineered zinc-finger nucleases

    Yolanda Santiago;Edmond Chan;Pei-Qi Liu;Salvatore Orlando

  • A physical map of the mouse genome.

    Simon G Gregory;Mandeep Sekhon;Jacqueline Schein;Shaying Zhao

Frequent Co-Authors

Philip D. Gregory
Philip D. Gregory Sangamo BioSciences (United States)
Edward J. Rebar
Edward J. Rebar Sangamo BioSciences (United States)
Fyodor D. Urnov
Fyodor D. Urnov University of California, Berkeley
Luigi Naldini
Luigi Naldini Vita-Salute San Raffaele University
Jeffrey C. Miller
Jeffrey C. Miller Sangamo BioSciences (United States)
Lei Zhang
Lei Zhang Sangamo BioSciences (United States)
Chiara Bonini
Chiara Bonini Vita-Salute San Raffaele University
Katherine A. High
Katherine A. High Children's Hospital of Philadelphia
Laurence J.N. Cooper
Laurence J.N. Cooper The University of Texas MD Anderson Cancer Center
Hans Peter Kiem
Hans Peter Kiem Fred Hutchinson Cancer Research Center

External Links

Personal website of Michael C. Holmes

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Related Online Degrees & Career Pathways

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If you’re aiming for advanced nursing roles, the shortest dnp program options can fast-track your progress, allowing you to earn a Doctor of Nursing Practice degree in less time. For those seeking to quickly enter the healthcare workforce, consider the fast medical assistant programs that can be completed in as little as six weeks.

Many online healthcare degrees now offer improved convenience. For example, some online dnp programs without clinicals allow students to fulfill graduation requirements remotely, making them ideal for busy professionals or international learners interested in the intersection of genetics and healthcare.

Best Scientists Citing Michael C. Holmes

Feng Zhang

Feng Zhang

MIT

Publications: 106

Matthew H. Porteus

Matthew H. Porteus

Stanford University

Publications: 96

Toni Cathomen

Toni Cathomen

University of Freiburg

Publications: 82

Hans Peter Kiem

Hans Peter Kiem

Fred Hutchinson Cancer Research Center

Publications: 78

J. Keith Joung

J. Keith Joung

Harvard University

Publications: 73

David R. Liu

David R. Liu

Broad Institute

Publications: 70

Daniel F. Voytas

Daniel F. Voytas

University of Minnesota

Publications: 66

Fyodor D. Urnov

Fyodor D. Urnov

University of California, Berkeley

Publications: 57

Charles A. Gersbach

Charles A. Gersbach

Duke University

Publications: 57

Edward J. Rebar

Edward J. Rebar

Sangamo BioSciences (United States)

Publications: 56

Takashi Yamamoto

Takashi Yamamoto

Hiroshima University

Publications: 52

Gang Bao

Gang Bao

Rice University

Publications: 48

Geneviève Almouzni

Geneviève Almouzni

Institute Curie

Publications: 47

Adrian J. Thrasher

Adrian J. Thrasher

University College London

Publications: 47

Philip D. Gregory

Philip D. Gregory

Sangamo BioSciences (United States)

Publications: 46

Tetsushi Sakuma

Tetsushi Sakuma

Hiroshima University

Publications: 46

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Ying-Jie Zhu

Ying-Jie Zhu

Chinese Academy of Sciences

Chenxi Li

Chenxi Li

Nankai University

Zhou Li

Zhou Li

Central South University

Timothy J. Vyse

Timothy J. Vyse

King's College London

Ken Dewar

Ken Dewar

McGill University

Matthew M. Martin

Matthew M. Martin

West Virginia University

LaRicka R. Wingate

LaRicka R. Wingate

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