Željko Bajzer
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 3
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 4
- Cell Biology top 10%
- Genetics top 10%
- Virus-based gene therapy research 3
- Molecular Biology top 10%
- Protein Structure and Dynamics 6
- Ion channel regulation and function 5
- Protein Interaction Studies and Fluorescence Analysis 3
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- Advanced Fluorescence Microscopy Techniques 3
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- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- David DingliStephen J. RussellStanimir Vuk‐PavlovićKrešimir Josić́Ariel J. CarideErik L. RitmanAdelaida G. FiloteoÁgnes Enyedi
- Journals
- Journal of Biological Chemistry (4 papers)Bulletin of Mathematical Biology (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United StatesCroatiaUnited Kingdom
In The Last Decade
Željko Bajzer
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 146
- Animal Science and Zoology 146
- Cell Biology 209
- Genetics 313
- Molecular Biology 748
Countries citing papers authored by Željko Bajzer
This map shows the geographic impact of Željko Bajzer'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 Željko Bajzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Željko Bajzer more than expected).
Fields of papers citing papers by Željko Bajzer
This network shows the impact of papers produced by Željko Bajzer. 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 Željko Bajzer. The network helps show where Željko Bajzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Željko Bajzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 2 | |
| 2 | 2011 | 12 | |
| 3 | 2011 | 30 | |
| 4 | 2011 | 35 | |
| 5 | 2010 | 2 | |
| 6 | 2009 | 37 | |
| 7 | 2008 | 13 | |
| 8 | 2008 | 22 | |
| 9 | 2007 | 15 | |
| 10 | 2004 | 17 | |
| 11 | 2004 | 13 | |
| 12 | 2003 | 34 | |
| 13 | 2002 | 87 | |
| 14 | 2002 | 37 | |
| 15 | 2002 | 7 | |
| 16 | 2002 | 2 | |
| 17 | 2001 | 81 | |
| 18 | 1999 | 7 | |
| 19 | 1992 | 2 | |
| 20 | 1992 | 12 |
About Željko Bajzer
Željko Bajzer is a scholar working on Modeling and Simulation, Biophysics, Animal Science and Zoology, Cell Biology and Genetics, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Ion channel regulation and function (5 papers), Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Modeling and Simulation (146 citations), Animal Science and Zoology (146 citations), Cell Biology (209 citations), Genetics (313 citations) and Molecular Biology (748 citations). Željko Bajzer has collaborated with scholars based in United States, Croatia and United Kingdom. Frequent co-authors include David Dingli, Stephen J. Russell, Stanimir Vuk‐Pavlović, Krešimir Josić́, Ariel J. Caride, Erik L. Ritman, Adelaida G. Filoteo, Ágnes Enyedi, Chetan P. Offord and Lilach O. Lerman. Their work appears in journals such as Journal of Biological Chemistry, Bulletin of Mathematical Biology, Biochemical and Biophysical Research Communications, Mathematical Biosciences and Biochemistry.
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.