Maja Todorovic
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Oncology 5
- CAR-T cell therapy research 4
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Dario Sangiolo (11 shared papers)Massimo Aglietta (10 shared papers)Fabrizio Carnevale‐Schianca (6 shared papers)Loretta Gammaitoni (9 shared papers)Valeria Leuci (8 shared papers)Giulia Mesiano (8 shared papers)Lidia Giraudo (5 shared papers)Franca Fagioli (3 shared papers)
- Journals
- Expert Opinion on Biological Therapy (2 papers)Clinical Cancer Research (1 paper)Journal of Immunotherapy (1 paper)Journal of Clinical Oncology (1 paper)Human Gene Therapy (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Maja Todorovic
11 papers receiving 391 citations
Peers
Comparison fields: 5 of 40
- Immunology 279
- Oncology 244
- Hematology 16
- Genetics 39
- Cancer Research 13
Countries citing papers authored by Maja Todorovic
This map shows the geographic impact of Maja Todorovic'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 Maja Todorovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Todorovic more than expected).
Fields of papers citing papers by Maja Todorovic
This network shows the impact of papers produced by Maja Todorovic. 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 Maja Todorovic. The network helps show where Maja Todorovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Todorovic, 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 | 2012 | 122 | |
| 2 | 2008 | 97 | |
| 3 | 2013 | 79 | |
| 4 | 2009 | 28 | |
| 5 | 2012 | 20 | |
| 6 | 2014 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2011 | 13 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2009 | 1 |
About Maja Todorovic
Maja Todorovic is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 11 papers that have together received 399 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Virus-based gene therapy research (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (279 citations), Oncology (244 citations), Hematology (16 citations), Genetics (39 citations) and Cancer Research (13 citations). Maja Todorovic has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Dario Sangiolo, Massimo Aglietta, Fabrizio Carnevale‐Schianca, Loretta Gammaitoni, Valeria Leuci, Giulia Mesiano, Lidia Giraudo, Franca Fagioli, Wanda Piacibello and Alessandro Cignetti. Their work appears in journals such as Expert Opinion on Biological Therapy, Clinical Cancer Research, Journal of Immunotherapy, Journal of Clinical Oncology and Human Gene Therapy.
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.