Thomas E. Moritz
Impact in
- Immunology top 5%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Hematology top 5%
Papers in
- Hematology 16
- Chronic Myeloid Leukemia Treatments 9
- Genetics 23
- Virus-based gene therapy research 18
- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- Nico Lachmann (37 shared papers)Axel Schambach (28 shared papers)Mania Ackermann (16 shared papers)Helmut Wagentristl (1 shared paper)J. Vollmann (1 shared paper)Sabine Baumgartner (1 shared paper)Tobias Cantz (7 shared papers)Gesine Hansen (8 shared papers)
- Journals
- Gene Therapy (7 papers)Metabolism (3 papers)European Journal Of Haematology (3 papers)Surface Science (3 papers)Stem Cell Reports (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas E. Moritz
95 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 124
- Immunology 728
- Hematology 297
- Biochemistry 171
- Genetics 229
- Oncology 522
Countries citing papers authored by Thomas E. Moritz
This map shows the geographic impact of Thomas E. 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 Thomas E. Moritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Moritz more than expected).
Fields of papers citing papers by Thomas E. Moritz
This network shows the impact of papers produced by Thomas E. 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 Thomas E. Moritz. The network helps show where Thomas E. Moritz may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. 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
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 258 | |
| 2 | 2007 | 204 | |
| 3 | 2015 | 177 | |
| 4 | 1995 | 135 | |
| 5 | 2018 | 135 | |
| 6 | 2014 | 98 | |
| 7 | 1989 | 93 | |
| 8 | 2013 | 89 | |
| 9 | 2008 | 88 | |
| 10 | 2020 | 88 | |
| 11 | 1997 | 85 | |
| 12 | 2011 | 80 | |
| 13 | 2016 | 76 | |
| 14 | 2013 | 71 | |
| 15 | 2015 | 71 | |
| 16 | 2015 | 62 | |
| 17 | 1995 | 61 | |
| 18 | 2022 | 60 | |
| 19 | 2018 | 59 | |
| 20 | 1992 | 58 |
About Thomas E. Moritz
Thomas E. Moritz is a scholar working on Hematology, Genetics, Genetics, Oncology and Molecular Biology, having authored 99 papers that have together received 3.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), Virus-based gene therapy research (18 papers), Pluripotent Stem Cells Research (15 papers), Neonatal Respiratory Health Research (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), RNA Interference and Gene Delivery (10 papers), Chronic Myeloid Leukemia Treatments (9 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Immunology (728 citations), Hematology (297 citations), Biochemistry (171 citations), Genetics (229 citations) and Oncology (522 citations). Thomas E. Moritz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Nico Lachmann, Axel Schambach, Mania Ackermann, Helmut Wagentristl, J. Vollmann, Sabine Baumgartner, Tobias Cantz, Gesine Hansen, Nils Pfaff and W. Widdra. Their work appears in journals such as Gene Therapy, Metabolism, European Journal Of Haematology, Surface Science and Stem Cell Reports.
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.