Ivan Bilić
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Hematology top 10%
Papers in
- Immunology 15
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Immunotherapy and Immune Responses 6
- Immunodeficiency and Autoimmune Disorders 4
-
- Kruppel-like factors research 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Meinrad Busslinger (7 shared papers)Wilfried Ellmeier (8 shared papers)Qiong Sun (2 shared papers)Markus Jaritz (3 shared papers)Caroline Hutter (1 shared paper)Stephen Malin (1 shared paper)César Cobaleda (1 shared paper)Hiromi Tagoh (2 shared papers)
In The Last Decade
Ivan Bilić
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Immunology 762
- Hematology 131
- Oncology 244
- Genetics 84
- Molecular Biology 564
Countries citing papers authored by Ivan Bilić
This map shows the geographic impact of Ivan Bilić'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 Ivan Bilić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Bilić more than expected).
Fields of papers citing papers by Ivan Bilić
This network shows the impact of papers produced by Ivan Bilić. 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 Ivan Bilić. The network helps show where Ivan Bilić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Bilić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 219 | |
| 2 | 2012 | 164 | |
| 3 | 2020 | 149 | |
| 4 | 2010 | 108 | |
| 5 | 2012 | 98 | |
| 6 | 2014 | 91 | |
| 7 | 2006 | 86 | |
| 8 | 2010 | 85 | |
| 9 | 2013 | 78 | |
| 10 | 2016 | 76 | |
| 11 | 2006 | 45 | |
| 12 | 2013 | 41 | |
| 13 | 2016 | 37 | |
| 14 | 2005 | 33 | |
| 15 | 1999 | 23 | |
| 16 | 2017 | 18 | |
| 17 | 2017 | 18 | |
| 18 | 2009 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2021 | 11 |
About Ivan Bilić
Ivan Bilić is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Kruppel-like factors research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Immunology (762 citations), Hematology (131 citations), Oncology (244 citations), Genetics (84 citations) and Molecular Biology (564 citations). Ivan Bilić has collaborated with scholars based in Austria, Croatia and Germany. Frequent co-authors include Meinrad Busslinger, Wilfried Ellmeier, Qiong Sun, Markus Jaritz, Caroline Hutter, Stephen Malin, César Cobaleda, Hiromi Tagoh, Bojan Vilagos and Bernd Unger. Their work appears in journals such as Blood, The Journal of Immunology, The Journal of Experimental Medicine, Immunology Letters and Nature 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.