Anne Sundblad
- Immunology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Hematology top 5%
- Biomedical Engineering
- Co-authors
- Camilla FogedSven FrøkjærBirger BrodinAntónio CoutinhoAlberto NóbregaMatthias HauryAlf GrandienChengyun Zheng
- Topics
- T-cell and B-cell Immunology (22 papers)Monoclonal and Polyclonal Antibodies Research (12 papers)Immunotherapy and Immune Responses (10 papers)
- Journals
- Proceedings of the National Academy of SciencesBloodAnnals of the New York Academy of Sciences
- Partner nations
- SwedenFranceUnited States
In The Last Decade
Anne Sundblad
31 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.1k
- Molecular Biology 713
- Radiology, Nuclear Medicine and Imaging 355
- Hematology 193
- Biomedical Engineering 185
Countries citing papers authored by Anne Sundblad
This map shows the geographic impact of Anne Sundblad'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 Anne Sundblad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Sundblad more than expected).
Fields of papers citing papers by Anne Sundblad
This network shows the impact of papers produced by Anne Sundblad. 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 Anne Sundblad. The network helps show where Anne Sundblad may publish in the future.
Co-authorship network of co-authors of Anne Sundblad
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Sundblad. A scholar is included among the top collaborators of Anne Sundblad 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 Anne Sundblad. Anne Sundblad 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 | 22 | |
| 3 | 31 | |
| 4 | Particle size and surface charge affect particle uptake by human dendritic cells in an in vitro modelbreakdown → | 698 |
| 5 | 7 | |
| 6 | 168 | |
| 7 | 19 | |
| 8 | 7 | |
| 9 | 43 | |
| 10 | 42 | |
| 11 | 77 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 171 | |
| 15 | 19 | |
| 16 | 94 | |
| 17 | 121 | |
| 18 | 44 | |
| 19 | 20 | |
| 20 | 26 |
About Anne Sundblad
Anne Sundblad is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (1.1k citations), Pharmaceutical Science (164 citations) and Hematology (193 citations). Anne Sundblad has collaborated with scholars based in Sweden, France and United States. Frequent co-authors include Camilla Foged, Sven Frøkjær, Birger Brodin, António Coutinho, Alberto Nóbrega, Matthias Haury, Alf Grandien, Chengyun Zheng, C Barreau and Carmen Arigita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Annals of the New York Academy of Sciences.
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.