Michael C. Holmes
- Aging top 0.5%
- Virology top 0.5%
- HIV Research and Treatment 13
- Genetics top 0.1%
- Virus-based gene therapy research 42
- Molecular Biology top 0.2%
- CRISPR and Genetic Engineering 70
- RNA Interference and Gene Delivery 24
- Pluripotent Stem Cells Research 10
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- CAR-T cell therapy research 27
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- Cytomegalovirus and herpesvirus research 11
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- Lysosomal Storage Disorders Research 8
- Co-authors
- Philip D. GregoryFyodor D. UrnovEdward J. RebarJeffrey C. MillerJianbin WangH. Steve ZhangChristian BeauséjourYa-Li Lee
- Partner nations
- United StatesItalySpain
In The Last Decade
Michael C. Holmes
102 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Business and International Management 866
- Aging 404
- Virology 1.1k
- Genetics 5.3k
- Molecular Biology 12.5k
Countries citing papers authored by Michael C. Holmes
This map shows the geographic impact of Michael C. Holmes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael C. Holmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Holmes more than expected).
Fields of papers citing papers by Michael C. Holmes
This network shows the impact of papers produced by Michael C. Holmes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael C. Holmes. The network helps show where Michael C. Holmes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael C. Holmes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2019 | 69 | |
| 5 | 2018 | 64 | |
| 6 | 2017 | 94 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 159 | |
| 9 | 2017 | 44 | |
| 10 | 2016 | 33 | |
| 11 | 2015 | 100 | |
| 12 | Gene Editing of CCR5 in Autologous CD4 T Cells of Persons Infected with HIVbreakdown → | 2014 | 973 |
| 13 | 2013 | 16 | |
| 14 | 2013 | 91 | |
| 15 | 2012 | 35 | |
| 16 | 2011 | 237 | |
| 17 | 2010 | 48 | |
| 18 | 2010 | 147 | |
| 19 | Human hematopoietic stem/progenitor cells modified by zinc-finger nucleases targeted to CCR5 control HIV-1 in vivobreakdown → | 2010 | 534 |
| 20 | 2006 | 6 |
About Michael C. Holmes
Michael C. Holmes is a scholar working on Virology, Genetics, Molecular Biology, Oncology and Genetics, having authored 104 papers that have together received 14.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (70 papers), Virus-based gene therapy research (42 papers), CAR-T cell therapy research (27 papers), RNA Interference and Gene Delivery (24 papers), HIV Research and Treatment (13 papers), Cytomegalovirus and herpesvirus research (11 papers), Pluripotent Stem Cells Research (10 papers) and Lysosomal Storage Disorders Research (8 papers). The work is most often cited by research in Business and International Management (866 citations), Aging (404 citations), Virology (1.1k citations), Genetics (5.3k citations) and Molecular Biology (12.5k citations). Michael C. Holmes has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Philip D. Gregory, Fyodor D. Urnov, Edward J. Rebar, Jeffrey C. Miller, Jianbin Wang, H. Steve Zhang, Christian Beauséjour, Ya-Li Lee, Luigi Naldini and David E. Paschon. Their work appears in journals such as Blood, Molecular Therapy, Molecular Genetics and Metabolism, Nature Biotechnology and Nature.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.