Todd E. Meyerrose
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Genetics 11
- Mesenchymal stem cell research 11
- Virus-based gene therapy research 5
-
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Jan A. Nolta (12 shared papers)Barry A. Grimes (6 shared papers)Phillip E. Herrbrich (5 shared papers)Louisa Wirthlin (4 shared papers)Michael H. Creer (2 shared papers)Craig T. Jordan (1 shared paper)SJ Szilvassy (1 shared paper)GL Phillips (1 shared paper)
- Journals
- Blood (5 papers)Molecular Therapy (3 papers)Journal of Clinical Investigation (3 papers)The FASEB Journal (2 papers)Stem Cells (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Todd E. Meyerrose
20 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 93
- Genetics 663
- Hematology 601
- Oncology 599
- Immunology 363
- Molecular Biology 952
Countries citing papers authored by Todd E. Meyerrose
This map shows the geographic impact of Todd E. Meyerrose'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 Todd E. Meyerrose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd E. Meyerrose more than expected).
Fields of papers citing papers by Todd E. Meyerrose
This network shows the impact of papers produced by Todd E. Meyerrose. 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 Todd E. Meyerrose. The network helps show where Todd E. Meyerrose may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd E. Meyerrose, 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 | 2000 | 672 | |
| 2 | 2004 | 287 | |
| 3 | 2007 | 272 | |
| 4 | 2002 | 162 | |
| 5 | 2006 | 152 | |
| 6 | 2010 | 138 | |
| 7 | 2002 | 125 | |
| 8 | 2001 | 90 | |
| 9 | 2008 | 80 | |
| 10 | 2008 | 59 | |
| 11 | 2003 | 50 | |
| 12 | 2000 | 48 | |
| 13 | 2000 | 47 | |
| 14 | 2001 | 32 | |
| 15 | 2003 | 26 | |
| 16 | 2002 | 23 | |
| 17 | 2004 | 17 | |
| 18 | 2006 | 11 | |
| 19 | 2000 | 3 | |
| 20 | 2006 | 1 |
About Todd E. Meyerrose
Todd E. Meyerrose is a scholar working on Genetics, Hematology, Immunology, Oncology and Genetics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Virus-based gene therapy research (5 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (4 papers), Muscle Physiology and Disorders (3 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Genetics (663 citations), Hematology (601 citations), Oncology (599 citations), Immunology (363 citations) and Molecular Biology (952 citations). Todd E. Meyerrose has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jan A. Nolta, Barry A. Grimes, Phillip E. Herrbrich, Louisa Wirthlin, Michael H. Creer, Craig T. Jordan, SJ Szilvassy, GL Phillips, R. Rossi and Selina M. Luger. Their work appears in journals such as Blood, Molecular Therapy, Journal of Clinical Investigation, The FASEB Journal and Stem Cells.
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.