Altuna Halilović
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- HER2/EGFR in Cancer Research 3
- CAR-T cell therapy research 2
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- Immunotherapy and Immune Responses 5
- Co-authors
- Carl G. Figdor (6 shared papers)I. Jolanda M. de Vries (6 shared papers)Mark A.J. Gorris (4 shared papers)Lieke L. van der Woude (1 shared paper)Johannes Textor (3 shared papers)Anne van Duffelen (2 shared papers)Katrin Rabold (1 shared paper)Inge M. N. Wortel (1 shared paper)
- Journals
- Histopathology (2 papers)Cancer Research (2 papers)Journal of Clinical Pathology (1 paper)The Journal of Immunology (1 paper)Scientific Reports (1 paper)
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Altuna Halilović
14 papers receiving 911 citations
Peers
Comparison fields: 5 of 73
- Immunology 395
- Oncology 484
- Biophysics 72
- Health Informatics 13
- Radiology, Nuclear Medicine and Imaging 157
Countries citing papers authored by Altuna Halilović
This map shows the geographic impact of Altuna Halilović'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 Altuna Halilović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Altuna Halilović more than expected).
Fields of papers citing papers by Altuna Halilović
This network shows the impact of papers produced by Altuna Halilović. 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 Altuna Halilović. The network helps show where Altuna Halilović may publish in the future.
Co-authors
The 25 scholars most cited alongside Altuna Halilović, 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 | 2017 | 230 | |
| 2 | 2018 | 216 | |
| 3 | 2017 | 169 | |
| 4 | 2016 | 90 | |
| 5 | 2020 | 71 | |
| 6 | 2014 | 65 | |
| 7 | 2016 | 28 | |
| 8 | 2017 | 15 | |
| 9 | 2019 | 10 | |
| 10 | 2017 | 8 | |
| 11 | 2018 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2019 | 4 |
About Altuna Halilović
Altuna Halilović is a scholar working on Oncology, Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 14 papers that have together received 921 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), HER2/EGFR in Cancer Research (3 papers), AI in cancer detection (2 papers), CAR-T cell therapy research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Immunology (395 citations), Oncology (484 citations), Biophysics (72 citations), Health Informatics (13 citations) and Radiology, Nuclear Medicine and Imaging (157 citations). Altuna Halilović has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Carl G. Figdor, I. Jolanda M. de Vries, Mark A.J. Gorris, Lieke L. van der Woude, Johannes Textor, Anne van Duffelen, Katrin Rabold, Inge M. N. Wortel, Peter Bult and Rob van de Loo. Their work appears in journals such as Histopathology, Cancer Research, Journal of Clinical Pathology, The Journal of Immunology and Scientific Reports.
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.