Ž. Bajzer

912 total citations
30 papers, 665 citations indexed

About

Ž. Bajzer is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Nuclear and High Energy Physics. According to data from OpenAlex, Ž. Bajzer has authored 30 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 7 papers in Molecular Biology and 7 papers in Nuclear and High Energy Physics. Recurrent topics in Ž. Bajzer's work include Atomic and Subatomic Physics Research (6 papers), Mathematical Biology Tumor Growth (5 papers) and Nuclear physics research studies (4 papers). Ž. Bajzer is often cited by papers focused on Atomic and Subatomic Physics Research (6 papers), Mathematical Biology Tumor Growth (5 papers) and Nuclear physics research studies (4 papers). Ž. Bajzer collaborates with scholars based in United States, Croatia and Germany. Ž. Bajzer's co-authors include Matko Marušić, S. Vuk‐Pavlović, Franklyn G. Prendergast, James P. Freyer, David Dingli, Catherine A. Offord, Krešimir Josić́, Stephen J. Russell, Thomas Carr and K-W Peng and has published in prestigious journals such as Journal of Biological Chemistry, Biophysical Journal and Physics Letters B.

In The Last Decade

Ž. Bajzer

29 papers receiving 643 citations

Peers

Ž. Bajzer
Comparison fields: 5 of 113
  • Molecular Biology 264
  • Modeling and Simulation 204
  • Oncology 121
  • Genetics 111
  • Cell Biology 71
Replace Marcelo L. Martins with:
Marcelo L. Martins Brazil
Antonio Brú Spain
Isabel Brú Spain
Gilberto L. Thomas Brazil
Bartłomiej Waclaw United Kingdom
S. M. Ali Tabei United States
Evgeniy Khain United States
Gabriel F. Calvo Spain
Ian Morrison United Kingdom
Gernot Guigas Germany
Marcelo L. Martins Brazil View profile →
Citations per field, relative to Ž. Bajzer
Ž. Bajzer · 1×
Citations per year, relative to Ž. Bajzer
Ž. Bajzer · 1×

Countries citing papers authored by Ž. Bajzer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ž. Bajzer

This figure shows the co-authorship network connecting the top 25 collaborators of Ž. Bajzer. A scholar is included among the top collaborators of Ž. Bajzer 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 Ž. Bajzer. Ž. Bajzer 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
# Work Indexed citations
1 28
2 56
3
Gompertzian growth as a self-similar and allometric process.
38
4 12
5 149
6 58
7 39
8 16
9 21
10 40
11 31
12 41
13
Quantitation of autocrine regulation of tumor growth: a general phenomenological model.
1
14 2
15 1
16 2
17 2
18 6
19 1
20 10

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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