Ivan Bilić
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- Hematology top 5%
Papers in
- Immunology 21
- Immune Cell Function and Interaction 13
- Immunodeficiency and Autoimmune Disorders 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 6
- Genetics 5
- Chronic Lymphocytic Leukemia Research 3
- 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)César Cobaleda (1 shared paper)Stephen Malin (1 shared paper)Hiromi Tagoh (2 shared papers)
- Journals
- Blood (4 papers)Nature Immunology (3 papers)The Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)Nature Communications (2 papers)
- Partner nations
- AustriaCroatiaUnited States
In The Last Decade
Ivan Bilić
40 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Immunology 1.2k
- Hematology 182
- Oncology 323
- Genetics 350
- Genetics 121
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 237 | |
| 2 | 2012 | 176 | |
| 3 | 2015 | 164 | |
| 4 | 2020 | 161 | |
| 5 | 2014 | 122 | |
| 6 | 2010 | 118 | |
| 7 | 2016 | 112 | |
| 8 | 2014 | 111 | |
| 9 | 2012 | 96 | |
| 10 | 2006 | 89 | |
| 11 | 2010 | 88 | |
| 12 | 2016 | 87 | |
| 13 | 2013 | 82 | |
| 14 | 2019 | 62 | |
| 15 | 2006 | 48 | |
| 16 | 2015 | 44 | |
| 17 | 2013 | 44 | |
| 18 | 2016 | 41 | |
| 19 | 2005 | 32 | |
| 20 | 2017 | 25 |
About Ivan Bilić
Ivan Bilić is a scholar working on Immunology, Genetics, Oncology, Molecular Biology and Genetics, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Immunodeficiency and Autoimmune Disorders (10 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Immunology (1.2k citations), Hematology (182 citations), Oncology (323 citations), Genetics (350 citations) and Genetics (121 citations). Ivan Bilić has collaborated with scholars based in Austria, Croatia and United States. Frequent co-authors include Meinrad Busslinger, Wilfried Ellmeier, Qiong Sun, Markus Jaritz, Caroline Hutter, César Cobaleda, Stephen Malin, Hiromi Tagoh, Bojan Vilagos and Bernd Unger. Their work appears in journals such as Blood, Nature Immunology, The Journal of Immunology, The Journal of Experimental Medicine 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.