Diann Blanset
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Alan J. KormanMinhua HanKent ThudiumChangyu WangMark SelbyM. S. SrinivasanTibor KelerMichelle Kuhne
- Topics
- CAR-T cell therapy research (10 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- OncologyImmunologyVirology
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Diann Blanset
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 950
- Immunology 719
- Molecular Biology 379
- Radiology, Nuclear Medicine and Imaging 330
- Pathology and Forensic Medicine 199
Countries citing papers authored by Diann Blanset
This map shows the geographic impact of Diann Blanset'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 Diann Blanset with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diann Blanset more than expected).
Fields of papers citing papers by Diann Blanset
This network shows the impact of papers produced by Diann Blanset. 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 Diann Blanset. The network helps show where Diann Blanset may publish in the future.
Co-authorship network of co-authors of Diann Blanset
This figure shows the co-authorship network connecting the top 25 collaborators of Diann Blanset. A scholar is included among the top collaborators of Diann Blanset 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 Diann Blanset. Diann Blanset is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 175 | |
| 10 | 194 | |
| 11 | 13 | |
| 12 | In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primatesbreakdown → | 472 |
| 13 | 25 | |
| 14 | 27 | |
| 15 | 16 | |
| 16 | 40 | |
| 17 | Abstract #LB-150: A fully human anti-CXCR4 antibody induces apoptosis in vitro and shows anti tumor activity in vivo. | 1 |
| 18 | 39 | |
| 19 | Increased doses of an anti-CD30 antibody, MDX-060, results in prolonged progression free survival in subjects with CD30 positive lymphoma. | 2 |
| 20 | 141 |
About Diann Blanset
Diann Blanset is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Oncology (950 citations), Immunology (719 citations) and Virology (105 citations). Diann Blanset has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Alan J. Korman, Minhua Han, Kent Thudium, Changyu Wang, Mark Selby, M. S. Srinivasan, Tibor Keler, Michelle Kuhne, Haichun Huang and Sujata Singh. Their work appears in journals such as Journal of Clinical Oncology, Blood and Nature reviews. 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.