Ivan Babić

2.7k total citations
49 papers, 1.2k citations indexed

About

Ivan Babić is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ivan Babić has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ivan Babić's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Ubiquitin and proteasome pathways (5 papers) and CAR-T cell therapy research (5 papers). Ivan Babić is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Ubiquitin and proteasome pathways (5 papers) and CAR-T cell therapy research (5 papers). Ivan Babić collaborates with scholars based in United States, Croatia and Canada. Ivan Babić's co-authors include Frank R. Jirik, Paul S. Mischel, Akio Iwanami, Webster K. Cavenee, Donald J. Fujita, Andrew Jakymiw, Santosh Kesari, Gerald Krystal, Jacqueline E. Damen and Ling Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ivan Babić

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Babić United States 19 874 278 187 181 115 49 1.2k
Karen A. Olson United States 20 1.1k 1.3× 227 0.8× 217 1.2× 129 0.7× 111 1.0× 24 1.5k
Jianhua Huang China 19 692 0.8× 163 0.6× 167 0.9× 188 1.0× 71 0.6× 61 1.3k
Nathaniel Robichaud Canada 12 1.6k 1.8× 252 0.9× 205 1.1× 266 1.5× 91 0.8× 14 1.9k
Jiexi Li United States 14 631 0.7× 238 0.9× 260 1.4× 318 1.8× 104 0.9× 22 1.1k
Miguel Aracil Spain 20 679 0.8× 268 1.0× 199 1.1× 349 1.9× 89 0.8× 41 1.3k
Shilpee Dutt India 21 902 1.0× 199 0.7× 269 1.4× 295 1.6× 154 1.3× 48 1.5k
Megan Keniry United States 17 1.2k 1.4× 233 0.8× 106 0.6× 318 1.8× 80 0.7× 38 1.5k
Toma Tebaldi Italy 24 1.6k 1.8× 342 1.2× 223 1.2× 229 1.3× 192 1.7× 64 2.0k
Laurent Pouyet France 15 810 0.9× 225 0.8× 321 1.7× 313 1.7× 127 1.1× 18 1.4k
Haizhong Feng China 26 1.3k 1.5× 477 1.7× 229 1.2× 293 1.6× 157 1.4× 57 1.8k

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-authorship network of co-authors of Ivan Babić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Babić. A scholar is included among the top collaborators of Ivan Babić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Babić. Ivan Babić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Hancock, Wayne W., et al.. (2024). Abstract 2655: Unexpected role of the NuRD component, Chd4, in Foxp3+ Treg cells and its relevance to tumor immunotherapy. Cancer Research. 84(6_Supplement). 2655–2655. 1 indexed citations
3.
Krucinska, J., Adriane Mosley, Ivan Babić, et al.. (2024). Evaluation of UCP1162, a potent propargyl-linked inhibitor of dihydrofolate reductase with potential application to cancer and autoimmune disease. Biochemical Pharmacology. 230(Pt 3). 116617–116617. 1 indexed citations
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Rodvold, Jeffrey J., Xian Su, Julia K. Nussbacher, et al.. (2020). IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. Scientific Reports. 10(1). 8348–8348. 17 indexed citations
6.
Babić, Ivan, et al.. (2020). Cellular Thermal Shift Analysis for Interrogation of CRISPR-Assisted Proteomic Changes. BioTechniques. 68(4). 180–184. 2 indexed citations
7.
Babić, Ivan, Santosh Kesari, & Mark C. Glassy. (2018). A Binding Potency Assay for Pritumumab and Ecto-Domain Vimentin. Methods in molecular biology. 1904. 401–415. 3 indexed citations
8.
Babić, Ivan, Santosh Kesari, & Elmar Nurmemmedov. (2018). Cellular Target Engagement: A New Paradigm in Drug Discovery. Future Medicinal Chemistry. 10(14). 1641–1644. 6 indexed citations
9.
Kesari, Santosh, Ivan Babić, Rajesh Mukthavaram, et al.. (2017). Pritumumab binding to glioma cells induces ADCC and inhibits tumor growth.. Journal of Clinical Oncology. 35(15_suppl). e14004–e14004. 2 indexed citations
10.
Babić, Ivan, Elmar Nurmemmedov, Venkata Mahidhar Yenugonda, et al.. (2017). Pritumumab, the first therapeutic antibody for glioma patients. Human Antibodies. 26(2). 95–101. 18 indexed citations
11.
Tsigelny, Igor F., Rajesh Mukthavaram, Valentina L. Kouznetsova, et al.. (2015). Multiple spatially related pharmacophores define small molecule inhibitors of OLIG2 in glioblastoma. Oncotarget. 8(14). 22370–22384. 19 indexed citations
12.
Mareninov, Sergey, Desiree E. Sanchez, Ivan Babić, et al.. (2013). Lyophilized brain tumor specimens can be used for histologic, nucleic acid, and protein analyses after 1 year of room temperature storage. Journal of Neuro-Oncology. 113(3). 365–373. 25 indexed citations
13.
Read, Renee, Tim R. Fenton, German G. Gomez, et al.. (2013). A Kinome-Wide RNAi Screen in Drosophila Glia Reveals That the RIO Kinases Mediate Cell Proliferation and Survival through TORC2-Akt Signaling in Glioblastoma. PLoS Genetics. 9(2). e1003253–e1003253. 96 indexed citations
14.
Masui, Kenta, Kazuhiro Tanaka, David Akhavan, et al.. (2013). mTOR Complex 2 Controls Glycolytic Metabolism in Glioblastoma through FoxO Acetylation and Upregulation of c-Myc. Cell Metabolism. 18(5). 726–739. 341 indexed citations
15.
Babić, Ivan, Dragan Kovačević, Domagoj Čvek, et al.. (2011). Identification and characterization of potential autochthonous starter cultures from a Croatian “brand” product “Slavonski kulen”. Meat Science. 88(3). 517–524. 46 indexed citations
16.
Cai, Houjian, Ivan Babić, Xiao X. Wei, Jiaoti Huang, & Owen N. Witte. (2010). Invasive Prostate Carcinoma Driven by c-Src and Androgen Receptor Synergy. Cancer Research. 71(3). 862–872. 82 indexed citations
17.
Orešković, Slavko, et al.. (2009). Operative complications and results of the "SPARC" procedure for stress urinary incontinence.. PubMed. 33(1). 201–4.
18.
Babić, Ivan, Susan E. Andrew, & Frank R. Jirik. (1996). MutS interaction with mismatch and alkylated base containing DNA molecules detected by optical biosensor. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 372(1). 87–96. 37 indexed citations
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20.
Babić, Ivan, et al.. (1974). 2-Ethylpyridine Derivatives with Antitubercular Properties. Journal of Pharmaceutical Sciences. 63(3). 475–477. 1 indexed citations

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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