Marko Radulović
Impact in
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in ⓘ
-
- Stress Responses and Cortisol 10
-
- Cell Image Analysis Techniques 7
- Co-authors
- Joachim Spiess (11 shared papers)Jelena Radulović (9 shared papers)Christina Schrick (2 shared papers)Jasminka Godovac‐Zimmermann (9 shared papers)Michael G. Rosenfeld (1 shared paper)Chijen R. Lin (1 shared paper)Farideh Hooshmand (1 shared paper)Ola Hermanson (1 shared paper)
- Journals
- Journal of Proteome Research (4 papers)Biomarkers in Medicine (3 papers)Cytokine (3 papers)Biomedical Microdevices (3 papers)Scientific Reports (2 papers)
- Partner nations
- SerbiaUnited KingdomGermany
In The Last Decade
Marko Radulović
67 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Behavioral Neuroscience 597
- Biological Psychiatry 206
- Social Psychology 298
- Cellular and Molecular Neuroscience 238
- Endocrinology, Diabetes and Metabolism 178
Countries citing papers authored by Marko Radulović
This map shows the geographic impact of Marko Radulović'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 Marko Radulović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Radulović more than expected).
Fields of papers citing papers by Marko Radulović
This network shows the impact of papers produced by Marko Radulović. 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 Marko Radulović. The network helps show where Marko Radulović may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Radulović, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 415 | |
| 2 | Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis Hit paper breakdown → | 2019 | 383 |
| 3 | 2006 | 92 | |
| 4 | 1999 | 62 | |
| 5 | 1999 | 53 | |
| 6 | 2002 | 52 | |
| 7 | 2003 | 49 | |
| 8 | 2007 | 46 | |
| 9 | 2019 | 43 | |
| 10 | 2015 | 41 | |
| 11 | 2009 | 31 | |
| 12 | 2018 | 28 | |
| 13 | 2012 | 28 | |
| 14 | 2017 | 26 | |
| 15 | 2017 | 22 | |
| 16 | 2006 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 1999 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2006 | 20 |
About Marko Radulović
Marko Radulović is a scholar working on Behavioral Neuroscience, Biophysics, Biological Psychiatry, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Stress Responses and Cortisol (10 papers), Cell Image Analysis Techniques (7 papers), Cell Adhesion Molecules Research (7 papers), Mitochondrial Function and Pathology (5 papers), Cancer Cells and Metastasis (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Behavioral Neuroscience (597 citations), Biological Psychiatry (206 citations), Social Psychology (298 citations), Cellular and Molecular Neuroscience (238 citations) and Endocrinology, Diabetes and Metabolism (178 citations). Marko Radulović has collaborated with scholars based in Serbia, United Kingdom and Germany. Frequent co-authors include Joachim Spiess, Jelena Radulović, Christina Schrick, Jasminka Godovac‐Zimmermann, Michael G. Rosenfeld, Chijen R. Lin, Farideh Hooshmand, Ola Hermanson, Toshimitsu Kishimoto and Ion Andronache. Their work appears in journals such as Journal of Proteome Research, Biomarkers in Medicine, Cytokine, Biomedical Microdevices and Scientific Reports.
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.