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
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- SH Orkin (2 shared papers)DA Williams (2 shared papers)RE Donahue (2 shared papers)AW Nienhuis (2 shared papers)Di Martin (2 shared papers)DM Bodine (2 shared papers)David A. Williams (2 shared papers)Leona D. Samson (1 shared paper)
- Journals
- Blood (2 papers)Metabolism (1 paper)FEMS Yeast Research (1 paper)Tumor Biology (1 paper)PubMed (3 papers)
- Partner nations
- United StatesGermanySaudi Arabia
In The Last Decade
T Moritz
8 papers receiving 483 citations
Peers
Comparison fields: 5 of 53
- Genetics 295
- Hematology 88
- Molecular Biology 354
- Oncology 126
- Genetics 48
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 | 170 | |
| 2 | 1993 | 152 | |
| 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 | 109 |
| 4 | Increased survival and multilineage hematopoietic protection from delayed and severe myelosuppressive effects of a nitrosourea with recombinant interleukin-11. | 1994 | 35 |
| 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 | 12 |
| 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 514 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper), Prostate Cancer Treatment and Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Genetics (295 citations), Hematology (88 citations), Molecular Biology (354 citations), Oncology (126 citations) and Genetics (48 citations). T Moritz has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include SH Orkin, DA Williams, RE Donahue, AW Nienhuis, Di Martin, DM Bodine, David A. Williams, Leona D. Samson, William J. Mackay and Brian Glassner. Their work appears in journals such as Blood, Metabolism, FEMS Yeast Research, Tumor Biology 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.