Ž. Bajzer
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Atomic and Subatomic Physics Research 6
- Atomic and Molecular Physics 3
- Co-authors
- Matko Marušić (5 shared papers)S. Vuk‐Pavlović (6 shared papers)Franklyn G. Prendergast (5 shared papers)James P. Freyer (2 shared papers)David Dingli (2 shared papers)Stephen J. Russell (1 shared paper)Krešimir Josić́ (1 shared paper)Catherine A. Offord (1 shared paper)
- Journals
- Biophysical Journal (4 papers)The European Physical Journal A (3 papers)Physics in Medicine and Biology (3 papers)Nuclear Physics A (2 papers)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- United StatesCroatiaGermany
In The Last Decade
Ž. Bajzer
29 papers receiving 644 citations
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 199
- Biophysics 47
- Oncology 112
- Cell Biology 68
- Genetics 109
Countries citing papers authored by Ž. Bajzer
This map shows the geographic impact of Ž. 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 Ž. Bajzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ž. Bajzer more than expected).
Fields of papers citing papers by Ž. Bajzer
This network shows the impact of papers produced by Ž. 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 Ž. Bajzer. The network helps show where Ž. Bajzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ž. 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 149 | |
| 2 | 1993 | 58 | |
| 3 | 2009 | 56 | |
| 4 | 1996 | 50 | |
| 5 | 1989 | 41 | |
| 6 | 1990 | 40 | |
| 7 | 1993 | 39 | |
| 8 | Gompertzian growth as a self-similar and allometric process. | 2000 | 38 |
| 9 | 1989 | 31 | |
| 10 | 2011 | 28 | |
| 11 | 1991 | 21 | |
| 12 | 1974 | 21 | |
| 13 | 1991 | 16 | |
| 14 | 1995 | 12 | |
| 15 | Quantitative aspects of autocrine regulation in tumors. | 1990 | 12 |
| 16 | 2018 | 10 | |
| 17 | 1976 | 10 | |
| 18 | 1981 | 8 | |
| 19 | 1978 | 6 | |
| 20 | 1976 | 5 |
About Ž. Bajzer
Ž. Bajzer is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Nuclear and High Energy Physics, Modeling and Simulation and Biophysics, having authored 30 papers that have together received 666 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (6 papers), Mathematical Biology Tumor Growth (5 papers), Nuclear physics research studies (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Atomic and Molecular Physics (3 papers), Particle physics theoretical and experimental studies (3 papers), Respiratory Support and Mechanisms (2 papers) and Neutrino Physics Research (2 papers). The work is most often cited by research in Modeling and Simulation (199 citations), Biophysics (47 citations), Oncology (112 citations), Cell Biology (68 citations) and Genetics (109 citations). Ž. Bajzer has collaborated with scholars based in United States, Croatia and Germany. Frequent co-authors include Matko Marušić, S. Vuk‐Pavlović, Franklyn G. Prendergast, James P. Freyer, David Dingli, Stephen J. Russell, Krešimir Josić́, Catherine A. Offord, Rae Myers and Thomas Carr. Their work appears in journals such as Biophysical Journal, The European Physical Journal A, Physics in Medicine and Biology, Nuclear Physics A and Journal of Mathematical Analysis and Applications.
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.