Uroš Kuzmanov
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- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- Signaling Pathways in Disease 3
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications 3
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- Cardiomyopathy and Myosin Studies 9
- Cardiac Fibrosis and Remodeling 7
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Andrew EmiliEleftherios P. DiamandisHari KosanamAnthony O. GramoliniAntoninus SoosaipillaiChristopher R. SmithNianxin JiangHongbo Guo
- Cited by
- Molecular BiologySpectroscopyAging
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Uroš Kuzmanov
28 papers receiving 731 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 472
- Spectroscopy 113
- Aging 9
- Cancer Research 61
- Cardiology and Cardiovascular Medicine 77
Countries citing papers authored by Uroš Kuzmanov
This map shows the geographic impact of Uroš Kuzmanov'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 Uroš Kuzmanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uroš Kuzmanov more than expected).
Fields of papers citing papers by Uroš Kuzmanov
This network shows the impact of papers produced by Uroš Kuzmanov. 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 Uroš Kuzmanov. The network helps show where Uroš Kuzmanov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uroš Kuzmanov, 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 | 2025 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 64 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 12 | |
| 12 | 2016 | 4 | |
| 13 | 2013 | 62 | |
| 14 | 2013 | 121 | |
| 15 | 2013 | 37 | |
| 16 | 2013 | 49 | |
| 17 | 2012 | 26 | |
| 18 | 2012 | 18 | |
| 19 | 2008 | 56 | |
| 20 | 2004 | 41 |
About Uroš Kuzmanov
Uroš Kuzmanov is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 29 papers that have together received 736 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Cardiac Fibrosis and Remodeling (7 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Signaling Pathways in Disease (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Molecular Biology (472 citations), Spectroscopy (113 citations) and Aging (9 citations). Uroš Kuzmanov has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Andrew Emili, Eleftherios P. Diamandis, Hari Kosanam, Anthony O. Gramolini, Antoninus Soosaipillai, Christopher R. Smith, Nianxin Jiang, Hongbo Guo, Apostolos Dimitromanolakis and Karen E. Christensen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.