Boris Strilić
Impact in
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Oncology top 5%
- Cancer Cells and Metastasis
- Inflammatory Biomarkers in Disease Prognosis
- Lymphatic System and Diseases
Papers in
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- Cell Adhesion Molecules Research 3
-
- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Stefan OffermannsNina WettschureckEckhard LammertKishor K. SivarajDagmar SchumacherJulián Albarrán-JuárezLida YangUlrike Müller
- Journals
- Cancer Cell (2 papers)The Journal of Experimental Medicine (2 papers)PLoS ONE (2 papers)Current Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Boris Strilić
23 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cell Biology 542
- Oncology 861
- Cancer Research 469
- Physiology 130
- Immunology and Allergy 157
Countries citing papers authored by Boris Strilić
This map shows the geographic impact of Boris Strilić'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 Boris Strilić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Strilić more than expected).
Fields of papers citing papers by Boris Strilić
This network shows the impact of papers produced by Boris Strilić. 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 Boris Strilić. The network helps show where Boris Strilić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boris Strilić, 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 | 2025 | 0 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 38 | |
| 8 | 2018 | 63 | |
| 9 | 2017 | 297 | |
| 10 | Tumour-cell-induced endothelial cell necroptosis via death receptor 6 promotes metastasis Hit paper breakdown → | 2016 | 397 |
| 11 | Platelet-Derived Nucleotides Promote Tumor-Cell Transendothelial Migration and Metastasis via P2Y2 Receptor Hit paper breakdown → | 2013 | 477 |
| 12 | 2012 | 7 | |
| 13 | 2011 | 130 | |
| 14 | 2010 | 36 | |
| 15 | 2010 | 103 | |
| 16 | 2010 | 20 | |
| 17 | 2009 | 277 | |
| 18 | 2009 | 30 | |
| 19 | 2007 | 6 | |
| 20 | 2006 | 130 |
About Boris Strilić
Boris Strilić is a scholar working on Immunology and Allergy, Physiology, Cell Biology, Immunology and Neurology, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Lymphatic System and Diseases (3 papers), Phagocytosis and Immune Regulation (3 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (3 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Cell Biology (542 citations), Oncology (861 citations), Cancer Research (469 citations), Physiology (130 citations) and Immunology and Allergy (157 citations). Boris Strilić has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Stefan Offermanns, Nina Wettschureck, Eckhard Lammert, Kishor K. Sivaraj, Dagmar Schumacher, Julián Albarrán-Juárez, Lida Yang, Ulrike Müller, Laurens Wachsmuth and Kang Han. Their work appears in journals such as Cancer Cell, The Journal of Experimental Medicine, PLoS ONE, Current Biology and Nature Communications.
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.