Brigitte Neuber
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 33
- CAR-T cell therapy research 31
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- Viral Infectious Diseases and Gene Expression in Insects 12
- Co-authors
- Carsten Müller‐Tidow (32 shared papers)Michael Schmitt (34 shared papers)Maria‐Luisa Schubert (23 shared papers)Lei Wang (20 shared papers)Anita Schmitt (31 shared papers)Peter Dreger (17 shared papers)Angela Hückelhoven‐Krauss (25 shared papers)Leopold Sellner (14 shared papers)
- Journals
- Blood (7 papers)International Journal of Molecular Sciences (5 papers)Cytotherapy (2 papers)Cancer Immunology Immunotherapy (2 papers)Cells (2 papers)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Brigitte Neuber
41 papers receiving 719 citations
Peers
Comparison fields: 5 of 43
- Oncology 527
- Hematology 146
- Immunology 210
- Genetics 56
- Genetics 151
Countries citing papers authored by Brigitte Neuber
This map shows the geographic impact of Brigitte Neuber'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 Brigitte Neuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Neuber more than expected).
Fields of papers citing papers by Brigitte Neuber
This network shows the impact of papers produced by Brigitte Neuber. 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 Brigitte Neuber. The network helps show where Brigitte Neuber may publish in the future.
Co-authors
The 25 scholars most cited alongside Brigitte Neuber, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2020 | 55 | |
| 3 | 2019 | 42 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2011 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2009 | 26 | |
| 12 | 2018 | 21 | |
| 13 | 2024 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2021 | 14 |
About Brigitte Neuber
Brigitte Neuber is a scholar working on Oncology, Molecular Biology, Immunology, Hematology and Genetics, having authored 42 papers that have together received 719 indexed citations. Recurring topics across this work include CAR-T cell therapy research (31 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (11 papers), Multiple Myeloma Research and Treatments (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Oncology (527 citations), Hematology (146 citations), Immunology (210 citations), Genetics (56 citations) and Genetics (151 citations). Brigitte Neuber has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Carsten Müller‐Tidow, Michael Schmitt, Maria‐Luisa Schubert, Lei Wang, Anita Schmitt, Peter Dreger, Angela Hückelhoven‐Krauss, Leopold Sellner, Susanne Hofmann and Ulrike Gern. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Cytotherapy, Cancer Immunology Immunotherapy and 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.