Daniel J. Ho
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 5
- Mitochondrial Function and Pathology 5
- Single-cell and spatial transcriptomics 3
- Pluripotent Stem Cells Research 2
- Gene Regulatory Network Analysis 2
- Epigenetics and DNA Methylation 2
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- Biochemical Acid Research Studies 3
- Co-authors
- Noel Ylagan Calingasan (8 shared papers)M. Flint Beal (7 shared papers)Ajamete Kaykas (4 shared papers)Robert J. Ihry (3 shared papers)Sravya Kommineni (3 shared papers)Magali Dumont (4 shared papers)Elizabeth J. Wille (5 shared papers)Max R. Salick (2 shared papers)
- Journals
- Free Radical Biology and Medicine (2 papers)ACS Chemical Biology (2 papers)Cell stem cell (2 papers)Clinical Cancer Research (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Daniel J. Ho
24 papers receiving 2.7k citations
Daniel J. Ho's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 88
- Business and International Management 81
- Molecular Biology 1.7k
- Biological Psychiatry 55
- Neurology 170
Countries citing papers authored by Daniel J. Ho
This map shows the geographic impact of Daniel J. Ho'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 Daniel J. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Ho more than expected).
Fields of papers citing papers by Daniel J. Ho
This network shows the impact of papers produced by Daniel J. Ho. 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 Daniel J. Ho. The network helps show where Daniel J. Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cells Hit paper breakdown → | 2018 | 764 |
| 2 | 2016 | 228 | |
| 3 | 2006 | 176 | |
| 4 | 2016 | 165 | |
| 5 | 2018 | 161 | |
| 6 | 2010 | 153 | |
| 7 | 2006 | 143 | |
| 8 | 2012 | 136 | |
| 9 | 2017 | 131 | |
| 10 | 2010 | 127 | |
| 11 | 2012 | 92 | |
| 12 | 2016 | 73 | |
| 13 | 2009 | 66 | |
| 14 | 2008 | 64 | |
| 15 | 2023 | 59 | |
| 16 | 2019 | 58 | |
| 17 | 2011 | 51 | |
| 18 | 2008 | 36 | |
| 19 | 2009 | 25 | |
| 20 | 2019 | 23 |
About Daniel J. Ho
Daniel J. Ho is a scholar working on Molecular Biology, Biochemistry, Physiology, Cellular and Molecular Neuroscience and Oncology, having authored 25 papers that have together received 2.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Mitochondrial Function and Pathology (5 papers), Genetic Neurodegenerative Diseases (4 papers), Biochemical Acid Research Studies (3 papers), Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (2 papers), Gene Regulatory Network Analysis (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (88 citations), Business and International Management (81 citations), Molecular Biology (1.7k citations), Biological Psychiatry (55 citations) and Neurology (170 citations). Daniel J. Ho has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Noel Ylagan Calingasan, M. Flint Beal, Ajamete Kaykas, Robert J. Ihry, Sravya Kommineni, Magali Dumont, Elizabeth J. Wille, Max R. Salick, Kathleen A. Worringer and Gregory McAllister. Their work appears in journals such as Free Radical Biology and Medicine, ACS Chemical Biology, Cell stem cell, Clinical Cancer Research and Nature Communications.
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.