Ivan Babić

2.7k citations
49 papers · 1.3k · h-index 18

Impact in

    • Cancer, Hypoxia, and Metabolism
    • PI3K/AKT/mTOR signaling in cancer
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

    • Ubiquitin and proteasome pathways 5
    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • Biochemical and Molecular Research 3
    • CAR-T cell therapy research 5
    • HER2/EGFR in Cancer Research 3

Ivan Babić

48 papers receiving 1.2k citations

Peers

Ivan Babić
Comparison fields: 5 of 101
  • Cancer Research 253
  • Molecular Biology 841
  • Genetics 111
  • Aging 17
  • Immunology 186
Replace Christopher M. Brennan with:
Christopher M. Brennan United States
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Linyong Du China
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Citations per field
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Citations per year

Countries citing papers authored by Ivan Babić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Babić Line = papers co-authored together Ivan Babić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013345
2 1997118
3 201399
4 201084
5 200476
6 200661
7 200046
8 201146
9 199637
10 201437
11 201326
12 201125
13 200925
14 201823
15 201723
16 201719
17 201519
18 202018
19 202017
20 201317

About Ivan Babić

Ivan Babić is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Organic Chemistry, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Ubiquitin and proteasome pathways (5 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), RNA modifications and cancer (4 papers), HER2/EGFR in Cancer Research (3 papers), RNA Research and Splicing (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Cancer Research (253 citations), Molecular Biology (841 citations), Genetics (111 citations), Aging (17 citations) and Immunology (186 citations). Ivan Babić has collaborated with scholars based in United States, Croatia and Canada. Frequent co-authors include Frank R. Jirik, Paul S. Mischel, Akio Iwanami, Webster K. Cavenee, Donald J. Fujita, Andrew Jakymiw, Santosh Kesari, Gerald Krystal, William H. Yong and Jacqueline E. Damen. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Acta Oto-Laryngologica, Oncotarget and Future Medicinal Chemistry.

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.

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