Jana Selent
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
Papers in
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- Receptor Mechanisms and Signaling 70
- Lipid Membrane Structure and Behavior 10
- Protein Structure and Dynamics 8
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- Neuropeptides and Animal Physiology 31
- Neurotransmitter Receptor Influence on Behavior 10
- Neuroscience and Neuropharmacology Research 9
- Co-authors
- Manuel Pastor (22 shared papers)Ferrán Sanz (13 shared papers)Ramón Guixà-González (15 shared papers)Agnieszka A. Kaczor (13 shared papers)Ismael Rodríguez‐Espigares (9 shared papers)Hector Martinez‐Seara (3 shared papers)Tomasz Maciej Stępniewski (32 shared papers)Maria Martí-Solano (11 shared papers)
In The Last Decade
Jana Selent
83 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 863
- Molecular Biology 1.7k
- Computational Theory and Mathematics 271
- Physiology 62
- Spectroscopy 175
Countries citing papers authored by Jana Selent
This map shows the geographic impact of Jana Selent'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 Jana Selent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jana Selent more than expected).
Fields of papers citing papers by Jana Selent
This network shows the impact of papers produced by Jana Selent. 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 Jana Selent. The network helps show where Jana Selent may publish in the future.
Co-authors
The 25 scholars most cited alongside Jana Selent, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 225 | |
| 2 | 2017 | 128 | |
| 3 | 2022 | 121 | |
| 4 | 2016 | 88 | |
| 5 | 2010 | 85 | |
| 6 | 2017 | 68 | |
| 7 | 2020 | 57 | |
| 8 | 2011 | 51 | |
| 9 | 2011 | 49 | |
| 10 | 2008 | 46 | |
| 11 | 2020 | 43 | |
| 12 | 2019 | 42 | |
| 13 | 2023 | 38 | |
| 14 | 2021 | 37 | |
| 15 | 2010 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2020 | 35 | |
| 18 | 2015 | 32 | |
| 19 | 2019 | 30 | |
| 20 | 2015 | 28 |
About Jana Selent
Jana Selent is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics and Surgery, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (70 papers), Neuropeptides and Animal Physiology (31 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Computational Drug Discovery Methods (13 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Lipid Membrane Structure and Behavior (10 papers), Neuroscience and Neuropharmacology Research (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (863 citations), Molecular Biology (1.7k citations), Computational Theory and Mathematics (271 citations), Physiology (62 citations) and Spectroscopy (175 citations). Jana Selent has collaborated with scholars based in Spain, Poland and Germany. Frequent co-authors include Manuel Pastor, Ferrán Sanz, Ramón Guixà-González, Agnieszka A. Kaczor, Ismael Rodríguez‐Espigares, Hector Martinez‐Seara, Tomasz Maciej Stępniewski, Maria Martí-Solano, Gianni De Fabritiis and Juan Manuel Ramírez‐Anguita. Their work appears in journals such as Nature Communications, British Journal of Pharmacology, Current Medicinal Chemistry, International Journal of Molecular Sciences and Science Signaling.
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.