Uta Opitz
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
Papers in ⓘ
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- Galectins and Cancer Biology 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- T-cell and Retrovirus Studies 2
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- Pluripotent Stem Cells Research 2
- Co-authors
- H.G. Opitz (4 shared papers)Guy Hewlett (3 shared papers)Hans Seidel (8 shared papers)H. D. Schlumberger (2 shared papers)Hilmar Lemke (3 shared papers)Ulrike Litzenburger (1 shared paper)Wolfgang Wick (1 shared paper)Katharina Ochs (1 shared paper)
In The Last Decade
Uta Opitz
19 papers receiving 374 citations
Peers
Comparison fields: 5 of 72
- Biological Psychiatry 80
- Immunology 195
- Behavioral Neuroscience 32
- Hematology 29
- Genetics 62
Countries citing papers authored by Uta Opitz
This map shows the geographic impact of Uta Opitz'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 Uta Opitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Opitz more than expected).
Fields of papers citing papers by Uta Opitz
This network shows the impact of papers produced by Uta Opitz. 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 Uta Opitz. The network helps show where Uta Opitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Opitz, 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 | 2011 | 121 | |
| 2 | 1977 | 55 | |
| 3 | 1982 | 53 | |
| 4 | 1986 | 47 | |
| 5 | 1977 | 20 | |
| 6 | 1976 | 16 | |
| 7 | 1978 | 15 | |
| 8 | 1985 | 13 | |
| 9 | Erythroid stem cell regeneration in normal and plethoric mice treated with hydroxyurea. | 1979 | 10 |
| 10 | 1978 | 8 | |
| 11 | 1977 | 8 | |
| 12 | 1979 | 6 | |
| 13 | Gene amplification in cell-free systems. | 1972 | 4 |
| 14 | 1979 | 3 | |
| 15 | 1980 | 3 | |
| 16 | 1987 | 1 | |
| 17 | Properties of an RNA-dependent DNA polymerase from spleen cells. | 1972 | 1 |
| 18 | 1980 | 1 | |
| 19 | Monoclonal antibodies detecting plasminogen activators on the membrane of leukemic lymphoid cells of T-cell origin. | 1987 | 1 |
| 20 | 1981 | 0 |
About Uta Opitz
Uta Opitz is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Galectins and Cancer Biology (2 papers), T-cell and B-cell Immunology (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Immune Cell Function and Interaction (2 papers), T-cell and Retrovirus Studies (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Biological Psychiatry (80 citations), Immunology (195 citations), Behavioral Neuroscience (32 citations), Hematology (29 citations) and Genetics (62 citations). Uta Opitz has collaborated with scholars based in Germany and Sweden. Frequent co-authors include H.G. Opitz, Guy Hewlett, Hans Seidel, H. D. Schlumberger, Hilmar Lemke, Ulrike Litzenburger, Wolfgang Wick, Katharina Ochs, Christian Lutz and Christiane A. Opitz. Their work appears in journals such as Annals of Hematology, European Journal of Immunology, JNCI Journal of the National Cancer Institute, Immunobiology and The Journal of Immunology.
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.