Ivan Bubić

2.4k total citations
27 papers, 1.5k citations indexed

About

Ivan Bubić is a scholar working on Epidemiology, Immunology and Surgery. According to data from OpenAlex, Ivan Bubić has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Immunology and 4 papers in Surgery. Recurrent topics in Ivan Bubić's work include Cytomegalovirus and herpesvirus research (13 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (6 papers). Ivan Bubić is often cited by papers focused on Cytomegalovirus and herpesvirus research (13 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (6 papers). Ivan Bubić collaborates with scholars based in Croatia, Germany and United States. Ivan Bubić's co-authors include Stipan Jonjić, Ulrich H. Koszinowski, Astrid Krmpotić, Markus Wagner, Sung‐Jin Kim, Wayne M. Yokoyama, Hartmut Hengel, Bojan Polić, Milena Hasan and Pero Lučin and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Ivan Bubić

24 papers receiving 1.5k 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 Bubić Croatia 15 1.0k 987 222 173 156 27 1.5k
Anne Halenius Germany 17 848 0.8× 675 0.7× 182 0.8× 144 0.8× 104 0.7× 34 1.4k
Marielle C. Gold United States 20 1.7k 1.6× 843 0.9× 182 0.8× 136 0.8× 354 2.3× 26 2.1k
Janie Parrino United States 17 403 0.4× 787 0.8× 121 0.5× 320 1.8× 168 1.1× 27 1.4k
Jane E. Allan Australia 22 1.0k 1.0× 795 0.8× 152 0.7× 73 0.4× 205 1.3× 53 1.6k
Maria Suni United States 14 950 0.9× 381 0.4× 246 1.1× 258 1.5× 152 1.0× 17 1.3k
David Jesse Sanchez United States 12 811 0.8× 507 0.5× 411 1.9× 117 0.7× 169 1.1× 21 1.4k
Jamila Ismaili Belgium 17 857 0.8× 339 0.3× 81 0.4× 84 0.5× 186 1.2× 25 1.2k
Melissa Precopio United States 11 1.4k 1.4× 530 0.5× 425 1.9× 550 3.2× 263 1.7× 16 1.8k
Lisa L. Lau United States 14 1.6k 1.6× 275 0.3× 193 0.9× 133 0.8× 155 1.0× 16 2.0k
Aycan F. Hassan‐Walker United Kingdom 16 278 0.3× 1.6k 1.6× 311 1.4× 129 0.7× 325 2.1× 20 1.7k

Countries citing papers authored by Ivan Bubić

Since Specialization
Citations

This map shows the geographic impact of Ivan Bubić'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 Bubić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Bubić more than expected).

Fields of papers citing papers by Ivan Bubić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Bubić. 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 Bubić. The network helps show where Ivan Bubić may publish in the future.

Co-authorship network of co-authors of Ivan Bubić

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Bubić. A scholar is included among the top collaborators of Ivan Bubić 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 Bubić. Ivan Bubić 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
1.
Radić, Josipa, et al.. (2024). #2549 Real world data of dapagliflozin effect on proteinuria in primary glomerulopathies in Croatia. Nephrology Dialysis Transplantation. 39(Supplement_1).
2.
Župan, Željko, et al.. (2024). Case report: Challenging kidney transplantation in an adolescent patient with tetralogy of Fallot. Frontiers in Medicine. 11. 1327363–1327363. 1 indexed citations
3.
Prkačin, Ingrid, et al.. (2021). Probiotics and High Fiber-Rich Diets Have Anti-Inflammatory Properties and Decline Chronic Kidney Disease Progression. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Cvijanović, Olga, et al.. (2015). Effect of Statin Therapy Duration on Bone Turnover Markers in Dyslipidemic Patients. Periodicum Biologorum. 117(1). 73–79. 1 indexed citations
5.
Mikolašević, Ivana, et al.. (2014). [Assessment of nutritional status in patients with chronic kidney disease on maintance hemodialysis].. PubMed. 68(2). 97–102. 2 indexed citations
6.
Bubić, Ivan, et al.. (2014). Survival of chronic hemodialysis patients over 80 years of age. Clinical Interventions in Aging. 9. 689–689. 16 indexed citations
7.
Rački, Sanjin, Nikolina Bašić‐Jukić, Petar Kes, et al.. (2014). [Treatment of anemia in chronic kidney disease--position statement of the Croatian Society for Nephrology, Dialysis and Transplantation and review of the KDIGO and ERPB guidelines].. PubMed. 68(2). 215–21.
8.
Mikolašević, Ivana, et al.. (2013). Chronic Kidney Disease and Nonalcoholic Fatty Liver Disease Proven by Transient Elastography. Kidney & Blood Pressure Research. 37(4-5). 305–310. 61 indexed citations
9.
Orlić, Lidija, et al.. (2013). Use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in the early period after kidney transplantation.. PubMed. 37(3). 809–14. 3 indexed citations
10.
Bubić, Ivan, Ingrid Prkačin, & Sanjin Rački. (2012). [Efficacy and safety of CERA in anemia correction in predialysis patients--Croatian experience].. PubMed. 66 Suppl 2. 42–6. 1 indexed citations
11.
Mikolašević, Ivana, et al.. (2012). [Clinical relevance of anemia treatment in patients with chronic kidney disease].. PubMed. 66(3). 193–202. 1 indexed citations
12.
Čičin‐Šain, Luka, Zsolt Ruzsics, Ivan Bubić, et al.. (2007). Dominant-Negative FADD Rescues the In Vivo Fitness of a Cytomegalovirus Lacking an Antiapoptotic Viral Gene. Journal of Virology. 82(5). 2056–2064. 52 indexed citations
13.
Čičin‐Šain, Luka, Ivan Bubić, Margit Schnee, et al.. (2007). Targeted Deletion of Regions Rich in Immune-Evasive Genes from the Cytomegalovirus Genome as a Novel Vaccine Strategy. Journal of Virology. 81(24). 13825–13834. 36 indexed citations
14.
Caraux, Anouk, Nassima Fodil-Cornu, J. Concepción Loredo‐Osti, et al.. (2006). Cmv4 , a New Locus Linked to the NK Cell Gene Complex, Controls Innate Resistance to Cytomegalovirus in Wild-Derived Mice. The Journal of Immunology. 176(9). 5478–5485. 36 indexed citations
15.
Krmpotić, Astrid, Milena Hasan, Andrea Loewendorf, et al.. (2005). NK cell activation through the NKG2D ligand MULT-1 is selectively prevented by the glycoprotein encoded by mouse cytomegalovirus gene m145 . The Journal of Experimental Medicine. 201(2). 211–220. 118 indexed citations
16.
Zimmermann, Albert, Mirko Trilling, Markus Wagner, et al.. (2005). A cytomegaloviral protein reveals a dual role for STAT2 in IFN-γ signaling and antiviral responses. The Journal of Experimental Medicine. 201(10). 1543–1553. 129 indexed citations
17.
French, Anthony R., Jeanette T. Pingel, Markus Wagner, et al.. (2004). Escape of Mutant Double-Stranded DNA Virus from Innate Immune Control. Immunity. 20(6). 747–756. 96 indexed citations
18.
Krmpotić, Astrid, Ivan Bubić, Bojan Polić, Pero Lučin, & Stipan Jonjić. (2003). Pathogenesis of murine cytomegalovirus infection. Microbes and Infection. 5(13). 1263–1277. 177 indexed citations
19.
Krmpotić, Astrid, Dirk H. Busch, Ivan Bubić, et al.. (2002). MCMV glycoprotein gp40 confers virus resistance to CD8+ T cells and NK cells in vivo. Nature Immunology. 3(6). 529–535. 170 indexed citations
20.
Brune, Wolfram, et al.. (2001). Secreted Virus–Encoded Proteins Reflect Murine Cytomegalovirus Productivity in Organs. The Journal of Infectious Diseases. 184(10). 1320–1324. 14 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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