Frano Vučković
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
-
- Monoclonal and Polyclonal Antibodies Research
Papers in ⓘ
-
- Monoclonal and Polyclonal Antibodies Research 22
- Immunology 20
- Galectins and Cancer Biology 13
- T-cell and B-cell Immunology 5
- Co-authors
- Gordan Lauc (43 shared papers)Irena Trbojević‐Akmačić (17 shared papers)Maja Pučić‐Baković (14 shared papers)Olga Gornik (12 shared papers)Jerko Štambuk (12 shared papers)Mislav Novokmet (11 shared papers)Harry Campbell (7 shared papers)Evropi Τheodoratou (6 shared papers)
- Journals
- Scientific Reports (4 papers)Glycobiology (3 papers)Frontiers in Immunology (2 papers)Diabetes Care (2 papers)Biomolecules (2 papers)
- Partner nations
- CroatiaUnited StatesUnited Kingdom
In The Last Decade
Frano Vučković
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Immunology 571
- Radiology, Nuclear Medicine and Imaging 501
- Molecular Biology 1.0k
- Genetics 181
- Organic Chemistry 138
Countries citing papers authored by Frano Vučković
This map shows the geographic impact of Frano Vučković'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 Frano Vučković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frano Vučković more than expected).
Fields of papers citing papers by Frano Vučković
This network shows the impact of papers produced by Frano Vučković. 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 Frano Vučković. The network helps show where Frano Vučković may publish in the future.
Co-authors
The 25 scholars most cited alongside Frano Vučković, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 136 | |
| 2 | 2014 | 114 | |
| 3 | 2016 | 109 | |
| 4 | 2016 | 82 | |
| 5 | 2013 | 76 | |
| 6 | 2018 | 65 | |
| 7 | 2020 | 54 | |
| 8 | 2018 | 52 | |
| 9 | 2015 | 51 | |
| 10 | 2021 | 42 | |
| 11 | 2018 | 39 | |
| 12 | 2022 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2021 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2015 | 25 | |
| 17 | 2022 | 23 | |
| 18 | 2022 | 22 | |
| 19 | 2016 | 17 | |
| 20 | 2023 | 17 |
About Frano Vučković
Frano Vučković is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Genetics and Genetics, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (39 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Galectins and Cancer Biology (13 papers), Diabetes and associated disorders (9 papers), T-cell and B-cell Immunology (5 papers), Pancreatic function and diabetes (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (571 citations), Radiology, Nuclear Medicine and Imaging (501 citations), Molecular Biology (1.0k citations), Genetics (181 citations) and Organic Chemistry (138 citations). Frano Vučković has collaborated with scholars based in Croatia, United States and United Kingdom. Frequent co-authors include Gordan Lauc, Irena Trbojević‐Akmačić, Maja Pučić‐Baković, Olga Gornik, Jerko Štambuk, Mislav Novokmet, Harry Campbell, Evropi Τheodoratou, Malcolm G. Dunlop and Ivan Gudelj. Their work appears in journals such as Scientific Reports, Glycobiology, Frontiers in Immunology, Diabetes Care and Biomolecules.
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.