T Moritz
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- RNA Interference and Gene Delivery 3
- CRISPR and Genetic Engineering 2
- Genetics 3
- Virus-based gene therapy research 3
- Mesenchymal stem cell research 1
- Co-authors
- DA Williams (2 shared papers)Di Martin (2 shared papers)DM Bodine (2 shared papers)AW Nienhuis (2 shared papers)RE Donahue (2 shared papers)SH Orkin (2 shared papers)David A. Williams (2 shared papers)Brian Glassner (1 shared paper)
- Journals
- Blood (2 papers)FEMS Yeast Research (1 paper)Tumor Biology (1 paper)Metabolism (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermanySaudi Arabia
In The Last Decade
T Moritz
8 papers receiving 462 citations
Peers
Comparison fields: 5 of 53
- Genetics 282
- Hematology 82
- Molecular Biology 350
- Genetics 44
- Oncology 108
Countries citing papers authored by T Moritz
This map shows the geographic impact of T Moritz'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 T Moritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Moritz more than expected).
Fields of papers citing papers by T Moritz
This network shows the impact of papers produced by T Moritz. 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 T Moritz. The network helps show where T Moritz may publish in the future.
Co-authors
The 25 scholars most cited alongside T Moritz, 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 | 1993 | 160 | |
| 2 | 1993 | 141 | |
| 3 | Retrovirus-mediated expression of a DNA repair protein in bone marrow protects hematopoietic cells from nitrosourea-induced toxicity in vitro and in vivo. | 1995 | 99 |
| 4 | Increased survival and multilineage hematopoietic protection from delayed and severe myelosuppressive effects of a nitrosourea with recombinant interleukin-11. | 1994 | 33 |
| 5 | 2013 | 19 | |
| 6 | 2016 | 14 | |
| 7 | Umbilical cord blood stem cells as targets for genetic modification: new therapeutic approaches to somatic gene therapy. | 1994 | 9 |
| 8 | 2009 | 3 |
About T Moritz
T Moritz is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery, having authored 8 papers that have together received 478 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (2 papers), Neurological diseases and metabolism (1 paper), Diet, Metabolism, and Disease (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Prostate Cancer Treatment and Research (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Genetics (282 citations), Hematology (82 citations), Molecular Biology (350 citations), Genetics (44 citations) and Oncology (108 citations). T Moritz has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include DA Williams, Di Martin, DM Bodine, AW Nienhuis, RE Donahue, SH Orkin, David A. Williams, Brian Glassner, William J. Mackay and Leona D. Samson. Their work appears in journals such as Blood, FEMS Yeast Research, Tumor Biology, Metabolism and PubMed.
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.