Michelle Ho
Impact in
- Aging top 10%
Papers in
-
- RNA Interference and Gene Delivery 9
- CRISPR and Genetic Engineering 5
- Viral Infectious Diseases and Gene Expression in Insects 4
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 2
- Genetics 14
- Virus-based gene therapy research 13
- Co-authors
- Junghae Suh (11 shared papers)Nancy A. Schroedl (1 shared paper)John J. Rossi (2 shared papers)Mayumí Takáhashi (2 shared papers)John Burnett (2 shared papers)Jiehua Zhou (2 shared papers)Donald B. Kohn (4 shared papers)Roger P. Hollis (3 shared papers)
- Journals
- Virology (3 papers)Blood (2 papers)Molecular Therapy (2 papers)Cellular and Molecular Bioengineering (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michelle Ho
31 papers receiving 737 citations
Peers
Comparison fields: 5 of 77
- Business and International Management 23
- Aging 20
- Genetics 89
- Molecular Biology 522
- Genetics 208
Countries citing papers authored by Michelle Ho
This map shows the geographic impact of Michelle 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 Michelle Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Ho more than expected).
Fields of papers citing papers by Michelle Ho
This network shows the impact of papers produced by Michelle 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 Michelle Ho. The network helps show where Michelle Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 155 | |
| 2 | 2016 | 77 | |
| 3 | 2016 | 54 | |
| 4 | 1996 | 51 | |
| 5 | 2014 | 43 | |
| 6 | 2019 | 36 | |
| 7 | 2010 | 34 | |
| 8 | 2013 | 34 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 2014 | 27 | |
| 12 | 2015 | 25 | |
| 13 | 2017 | 21 | |
| 14 | 2014 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2016 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2017 | 8 |
About Michelle Ho
Michelle Ho is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Oncology and Epidemiology, having authored 32 papers that have together received 746 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), RNA Interference and Gene Delivery (9 papers), CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), CAR-T cell therapy research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Business and International Management (23 citations), Aging (20 citations), Genetics (89 citations), Molecular Biology (522 citations) and Genetics (208 citations). Michelle Ho has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Junghae Suh, Nancy A. Schroedl, John J. Rossi, Mayumí Takáhashi, John Burnett, Jiehua Zhou, Donald B. Kohn, Roger P. Hollis, Megan D. Hoban and Xiwei Wu. Their work appears in journals such as Virology, Blood, Molecular Therapy, Cellular and Molecular Bioengineering and Tissue Engineering Part C Methods.
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.