Tamara Miljuš
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Receptor Mechanisms and Signaling 6
- RNA and protein synthesis mechanisms 2
- Protein Kinase Regulation and GTPase Signaling 1
- Enzyme Catalysis and Immobilization 1
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- Neuropeptides and Animal Physiology 3
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Franziska M. Heydenreich (4 shared papers)Dmitry B. Veprintsev (5 shared papers)Davide Calebiro (4 shared papers)Shannon O’Brien (4 shared papers)Gebhard F. X. Schertler (1 shared paper)Balaji Santhanam (1 shared paper)M. Madan Babu (1 shared paper)Zsombor Kőszegi (2 shared papers)
- Journals
- Nature Communications (1 paper)Physiological Reviews (1 paper)Trends in Biochemical Sciences (1 paper)Nature Chemical Biology (1 paper)Cell (1 paper)
- Partner nations
- United KingdomSwitzerlandCanada
In The Last Decade
Tamara Miljuš
8 papers receiving 416 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 191
- Molecular Biology 348
- Radiology, Nuclear Medicine and Imaging 55
- Spectroscopy 39
- Sensory Systems 10
Countries citing papers authored by Tamara Miljuš
This map shows the geographic impact of Tamara Miljuš'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 Tamara Miljuš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Miljuš more than expected).
Fields of papers citing papers by Tamara Miljuš
This network shows the impact of papers produced by Tamara Miljuš. 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 Tamara Miljuš. The network helps show where Tamara Miljuš may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Miljuš, 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 | 2016 | 234 | |
| 2 | 2020 | 85 | |
| 3 | 2023 | 45 | |
| 4 | 2017 | 32 | |
| 5 | 2024 | 13 | |
| 6 | 2020 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 0 |
About Tamara Miljuš
Tamara Miljuš is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 416 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers), Pancreatic function and diabetes (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Enzyme Catalysis and Immobilization (1 paper), Amino Acid Enzymes and Metabolism (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (191 citations), Molecular Biology (348 citations), Radiology, Nuclear Medicine and Imaging (55 citations), Spectroscopy (39 citations) and Sensory Systems (10 citations). Tamara Miljuš has collaborated with scholars based in United Kingdom, Switzerland and Canada. Frequent co-authors include Franziska M. Heydenreich, Dmitry B. Veprintsev, Davide Calebiro, Shannon O’Brien, Gebhard F. X. Schertler, Balaji Santhanam, M. Madan Babu, Zsombor Kőszegi, AJ Venkatakrishnan and Guillaume Lebon. Their work appears in journals such as Nature Communications, Physiological Reviews, Trends in Biochemical Sciences, Nature Chemical Biology and Cell.
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.