Michelle Ho

1.5k total citations
32 papers, 737 citations indexed

About

Michelle Ho is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michelle Ho has authored 32 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michelle Ho's work include Virus-based gene therapy research (13 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (5 papers). Michelle Ho is often cited by papers focused on Virus-based gene therapy research (13 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (5 papers). Michelle Ho collaborates with scholars based in United States, Canada and Germany. Michelle Ho's co-authors include Junghae Suh, Nancy A. Schroedl, Jiehua Zhou, John J. Rossi, Mayumí Takáhashi, John Burnett, Donald B. Kohn, Roger P. Hollis, Megan D. Hoban and Xiwei Wu and has published in prestigious journals such as Blood, ACS Nano and PLoS ONE.

In The Last Decade

Michelle Ho

31 papers receiving 728 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michelle Ho United States 15 533 211 92 90 57 32 737
Barbara Chapman United States 17 502 0.9× 188 0.9× 100 1.1× 36 0.4× 18 0.3× 27 1.1k
Ahmad Bakur Mahmoud Saudi Arabia 18 323 0.6× 161 0.8× 54 0.6× 303 3.4× 51 0.9× 42 1.1k
Shelagh Redmond Switzerland 15 266 0.5× 120 0.6× 20 0.2× 148 1.6× 27 0.5× 22 896
Neil Phillips United Kingdom 15 297 0.6× 215 1.0× 264 2.9× 92 1.0× 29 0.5× 23 996
Aaron Winkler United States 17 439 0.8× 189 0.9× 30 0.3× 135 1.5× 14 0.2× 28 980
Megan Hughes United Kingdom 11 193 0.4× 112 0.5× 31 0.3× 23 0.3× 16 0.3× 21 858
Chien-Kuo Tai Taiwan 13 583 1.1× 327 1.5× 23 0.3× 165 1.8× 17 0.3× 23 801
Ho Sung Yoon South Korea 16 378 0.7× 165 0.8× 26 0.3× 102 1.1× 27 0.5× 37 896
Saeyoung Park South Korea 16 386 0.7× 48 0.2× 156 1.7× 45 0.5× 40 0.7× 42 1.0k
Hélène Paradis Canada 17 382 0.7× 115 0.5× 16 0.2× 129 1.4× 18 0.3× 53 926

Countries citing papers authored by Michelle Ho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michelle Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Ho. A scholar is included among the top collaborators of Michelle Ho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle Ho. Michelle Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ho, Michelle, et al.. (2021). N-terminal serine/threonine motif has diverse and important effects on behavior of multiple AAV serotypes. Virology. 563. 107–115. 6 indexed citations
2.
Rennick, Janet E., Karen Dryden‐Palmer, Robyn Stremler, et al.. (2021). Family Members' Perceptions of Their Psychological Responses One Year Following Pediatric Intensive Care Unit (PICU) Hospitalization: Qualitative Findings From the Caring Intensively Study. Frontiers in Pediatrics. 9. 724155–724155. 10 indexed citations
3.
Ho, Michelle, et al.. (2020). An essential N-terminal serine-rich motif in the AAV VP1 and VP2 subunits that may play a role in viral transcription. Virology. 546. 127–132. 10 indexed citations
4.
Guenther, Caitlin M., Antonette Bennett, Michelle Ho, et al.. (2019). Protease-Activatable Adeno-Associated Virus Vector for Gene Delivery to Damaged Heart Tissue. Molecular Therapy. 27(3). 611–622. 35 indexed citations
5.
Ho, Michelle, et al.. (2019). Reducing off target viral delivery in ovarian cancer gene therapy using a protease-activated AAV2 vector platform. Journal of Controlled Release. 307. 292–301. 12 indexed citations
6.
Ideno, Noboru, Hiroshi Yamaguchi, Takashi Okumura, et al.. (2019). A pipeline for rapidly generating genetically engineered mouse models of pancreatic cancer using in vivo CRISPR-Cas9-mediated somatic recombination. Laboratory Investigation. 99(8). 1233–1244. 30 indexed citations
7.
Lee, Marianne, et al.. (2017). Evaluation of Positive Parenting Programme (Triple P) in Singapore: Improving parenting practices and preventing risks for recurrence of maltreatment. Children and Youth Services Review. 83. 274–284. 21 indexed citations
8.
Popp, Lauren, Eric Gomez, Whitney Orji, et al.. (2017). TFEB-mediated activation of the lysosome-autophagy system affects the transduction efficiency of adeno-associated virus 2. Virology. 510. 1–8. 8 indexed citations
9.
Takáhashi, Mayumí, Xiwei Wu, Michelle Ho, et al.. (2016). High throughput sequencing analysis of RNA libraries reveals the influences of initial library and PCR methods on SELEX efficiency. Scientific Reports. 6(1). 33697–33697. 77 indexed citations
10.
Hoban, Megan D., Dianne Lumaquin, Caroline Y. Kuo, et al.. (2016). CRISPR/Cas9-Mediated Correction of the Sickle Mutation in Human CD34+ cells. Molecular Therapy. 24(9). 1561–1569. 153 indexed citations
11.
Hoinka, Jan, Mayumí Takáhashi, Jiehua Zhou, et al.. (2016). AptaTRACE Elucidates RNA Sequence-Structure Motifs from Selection Trends in HT-SELEX Experiments. Cell Systems. 3(1). 62–70. 53 indexed citations
12.
Ho, Michelle, et al.. (2015). Effective Gene Delivery to Valvular Interstitial Cells Using Adeno-Associated Virus Serotypes 2 and 3. Tissue Engineering Part C Methods. 21(8). 808–815. 4 indexed citations
13.
Gschweng, Eric H., Melissa McCracken, Michael L. Kaufman, et al.. (2014). HSV-sr39TK Positron Emission Tomography and Suicide Gene Elimination of Human Hematopoietic Stem Cells and Their Progeny in Humanized Mice. Cancer Research. 74(18). 5173–5183. 26 indexed citations
14.
15.
Harris, Donald G., Joseph Rabin, Michelle Ho, et al.. (2014). VESS1. A New Aortic Injury Score Predicts Early Rupture More Accurately Than Clinical Assessment. Journal of Vascular Surgery. 59(6). 4S–4S. 1 indexed citations
16.
Ho, Michelle, Abhinav Tiwari, Eric Gomez, et al.. (2014). Tunable Protease-Activatable Virus Nanonodes. ACS Nano. 8(5). 4740–4746. 43 indexed citations
17.
Cousin, Wendy, Michelle Ho, Rajiv S. Desai, et al.. (2013). Regenerative Capacity of Old Muscle Stem Cells Declines without Significant Accumulation of DNA Damage. PLoS ONE. 8(5). e63528–e63528. 34 indexed citations
18.
Kohrt, Holbrook E., Samit Patel, Michelle Ho, et al.. (2010). Second‐line mitoxantrone, etoposide, and cytarabine for acute myeloid leukemia: A single‐center experience. American Journal of Hematology. 85(11). 877–881. 34 indexed citations
19.
Kohrt, Holbrook E., Samit Patel, Michelle Ho, et al.. (2009). Is Time of the Essence in Adult Acute Myeloid Leukemia (AML)? Time to Blast Clearance and Time to Induction Therapy Fail to Predict Overall Survival (OS).. Blood. 114(22). 1617–1617. 2 indexed citations
20.

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.

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