Mo A. Dao
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 15
- Virus-based gene therapy research 15
- Mesenchymal stem cell research 9
-
- RNA Interference and Gene Delivery 5
- CRISPR and Genetic Engineering 3
- Co-authors
- Jan A. Nolta (25 shared papers)Daniel C. Link (1 shared paper)Ivana Rosová (1 shared paper)Ben Capoccia (1 shared paper)Donald B. Kohn (4 shared papers)Kimikazu Hashino (3 shared papers)Itaru Kato (2 shared papers)Naomi Taylor (1 shared paper)
- Journals
- Blood (9 papers)Stem Cells (2 papers)Cancer Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesBelgiumTunisia
In The Last Decade
Mo A. Dao
29 papers receiving 1.6k citations
Mo A. Dao's Hit Papers
Peers
Comparison fields: 5 of 75
- Genetics 767
- Hematology 455
- Genetics 429
- Immunology 273
- Oncology 350
Countries citing papers authored by Mo A. Dao
This map shows the geographic impact of Mo A. Dao'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 Mo A. Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo A. Dao more than expected).
Fields of papers citing papers by Mo A. Dao
This network shows the impact of papers produced by Mo A. Dao. 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 Mo A. Dao. The network helps show where Mo A. Dao may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo A. Dao, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hypoxic Preconditioning Results in Increased Motility and Improved Therapeutic Potential of Human Mesenchymal Stem Cells Hit paper breakdown → | 2008 | 560 |
| 2 | 1996 | 156 | |
| 3 | 1998 | 134 | |
| 4 | 1997 | 128 | |
| 5 | 1998 | 100 | |
| 6 | 2002 | 81 | |
| 7 | 1998 | 71 | |
| 8 | 2008 | 56 | |
| 9 | 1997 | 53 | |
| 10 | 1998 | 44 | |
| 11 | 2007 | 38 | |
| 12 | 2013 | 31 | |
| 13 | 1999 | 28 | |
| 14 | 2002 | 28 | |
| 15 | 1998 | 24 | |
| 16 | Clonal diversity of primitive human hematopoietic progenitors following retroviral marking and long-term engraftment in immune-deficient mice. | 1997 | 24 |
| 17 | 2001 | 22 | |
| 18 | 2011 | 19 | |
| 19 | 2006 | 19 | |
| 20 | Inclusion of IL-3 during retrovirally-mediated transduction on stromal support does not increase the extent of gene transfer into long-term engrafting human hematopoietic progenitors. | 1997 | 10 |
About Mo A. Dao
Mo A. Dao is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Genetics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Mesenchymal stem cell research (9 papers), CAR-T cell therapy research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immunotherapy and Immune Responses (6 papers), RNA Interference and Gene Delivery (5 papers), Immune Cell Function and Interaction (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Genetics (767 citations), Hematology (455 citations), Genetics (429 citations), Immunology (273 citations) and Oncology (350 citations). Mo A. Dao has collaborated with scholars based in United States, Belgium and Tunisia. Frequent co-authors include Jan A. Nolta, Daniel C. Link, Ivana Rosová, Ben Capoccia, Donald B. Kohn, Kimikazu Hashino, Itaru Kato, Naomi Taylor, Charles Hannum and E Smogorzewska. Their work appears in journals such as Blood, Stem Cells, Cancer Research, Proceedings of the National Academy of Sciences and Molecular Therapy.
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.