Ivan Babić
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 5
- RNA and protein synthesis mechanisms 3
- Oncology 9
- CAR-T cell therapy research 4
- Co-authors
- Frank Robert Jirik (3 shared papers)Paul S. Mischel (5 shared papers)Akio Iwanami (2 shared papers)Webster K. Cavenee (2 shared papers)Santosh Kesari (13 shared papers)Donald J. Fujita (1 shared paper)Andrew Jakymiw (1 shared paper)Elana Cherry (1 shared paper)
- Journals
- Cancer Discovery (4 papers)Scientific Reports (3 papers)Acta Oto-Laryngologica (2 papers)Cell Metabolism (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesCroatiaCanada
In The Last Decade
Ivan Babić
49 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 724
- Genetics 319
- Molecular Biology 1.4k
- Oncology 339
- Immunology 268
Countries citing papers authored by Ivan Babić
This map shows the geographic impact of Ivan Babić'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 Babić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Babić more than expected).
Fields of papers citing papers by Ivan Babić
This network shows the impact of papers produced by Ivan Babić. 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 Babić. The network helps show where Ivan Babić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Babić, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 381 | |
| 2 | 2013 | 369 | |
| 3 | 2011 | 251 | |
| 4 | 2013 | 144 | |
| 5 | 2013 | 119 | |
| 6 | 1997 | 114 | |
| 7 | 2013 | 106 | |
| 8 | 2010 | 85 | |
| 9 | 2004 | 77 | |
| 10 | 2006 | 65 | |
| 11 | 2011 | 48 | |
| 12 | 2000 | 46 | |
| 13 | 2013 | 44 | |
| 14 | 2014 | 40 | |
| 15 | 1996 | 37 | |
| 16 | 2018 | 34 | |
| 17 | 2013 | 26 | |
| 18 | 2011 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2009 | 23 |
About Ivan Babić
Ivan Babić is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (5 papers), CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA and protein synthesis mechanisms (3 papers) and Crop Yield and Soil Fertility (2 papers). The work is most often cited by research in Cancer Research (724 citations), Genetics (319 citations), Molecular Biology (1.4k citations), Oncology (339 citations) and Immunology (268 citations). Ivan Babić has collaborated with scholars based in United States, Croatia and Canada. Frequent co-authors include Frank Robert Jirik, Paul S. Mischel, Akio Iwanami, Webster K. Cavenee, Santosh Kesari, Donald J. Fujita, Andrew Jakymiw, Elana Cherry, Daishi Fujita and William H. Yong. Their work appears in journals such as Cancer Discovery, Scientific Reports, Acta Oto-Laryngologica, Cell Metabolism and Cancer Research.
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.