Dina Schneider
- Oncology top 2%
- Immunology top 5%
- Molecular Biology
- Biomedical Engineering top 10%
- Genetics top 5%
- Co-authors
- Boro DropulićRimas J. OrentasMarc B. HershensonUmadevi SajjanWinfried KruegerParameswaran HariNirav N. ShahDarong Wu
- Topics
- CAR-T cell therapy research (56 papers)Viral Infectious Diseases and Gene Expression in Insects (19 papers)Virus-based gene therapy research (8 papers)
- Journals
- Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Dina Schneider
64 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Oncology 1.2k
- Immunology 815
- Molecular Biology 502
- Biomedical Engineering 414
- Genetics 372
Countries citing papers authored by Dina Schneider
This map shows the geographic impact of Dina Schneider'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 Dina Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dina Schneider more than expected).
Fields of papers citing papers by Dina Schneider
This network shows the impact of papers produced by Dina Schneider. 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 Dina Schneider. The network helps show where Dina Schneider may publish in the future.
Co-authorship network of co-authors of Dina Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Dina Schneider. A scholar is included among the top collaborators of Dina Schneider based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dina Schneider. Dina Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 70 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 41 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | Bispecific anti-CD20, anti-CD19 CAR T cells for relapsed B cell malignancies: a phase 1 dose escalation and expansion trialbreakdown → | 318 |
| 14 | 72 | |
| 15 | 32 | |
| 16 | 14 | |
| 17 | Distinct Homotypic B-Cell Receptor Interactions Shape The Outcome Of Chronic Lymphocytic Leukemia | 2 |
| 18 | 143 | |
| 19 | 199 | |
| 20 | 28 |
About Dina Schneider
Dina Schneider is a scholar working on Oncology, Immunology and Molecular Biology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (56 papers), Viral Infectious Diseases and Gene Expression in Insects (19 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Oncology (1.2k citations), Immunology (815 citations) and Emergency Medical Services (119 citations). Dina Schneider has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Boro Dropulić, Rimas J. Orentas, Marc B. Hershenson, Umadevi Sajjan, Winfried Krueger, Parameswaran Hari, Nirav N. Shah, Darong Wu, Ying Xiong and Emily Bowman. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.