Özlem Uğur
Impact in
- Animal Science and Zoology top 10%
- Pharmacological Effects and Assays
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 13
- Protein Kinase Regulation and GTPase Signaling 6
- Lipid Membrane Structure and Behavior 3
- Ion channel regulation and function 2
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- Neuropeptides and Animal Physiology 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- H. Ongun Onaran (10 shared papers)Teresa L.Z. Jones (3 shared papers)Mehmet Uğur (3 shared papers)John R. McCullough (1 shared paper)Sankar Mitra (1 shared paper)Hiroshi Yamaguchi (1 shared paper)H. M. Goodman (1 shared paper)Joan M. Caron (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Pharmacology (3 papers)European Journal of Pharmacology (2 papers)Molecular Biology of the Cell (1 paper)Pharmacology (1 paper)
- Partner nations
- TürkiyeUnited StatesItaly
In The Last Decade
Özlem Uğur
16 papers receiving 408 citations
Peers
Comparison fields: 5 of 71
- Animal Science and Zoology 62
- Cellular and Molecular Neuroscience 97
- Physiology 21
- Molecular Biology 292
- Physiology 98
Countries citing papers authored by Özlem Uğur
This map shows the geographic impact of Özlem Uğur'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 Özlem Uğur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özlem Uğur more than expected).
Fields of papers citing papers by Özlem Uğur
This network shows the impact of papers produced by Özlem Uğur. 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 Özlem Uğur. The network helps show where Özlem Uğur may publish in the future.
Co-authors
The 25 scholars most cited alongside Özlem Uğur, 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 | 1998 | 92 | |
| 2 | 1999 | 81 | |
| 3 | 2017 | 54 | |
| 4 | 2000 | 29 | |
| 5 | 2012 | 26 | |
| 6 | 1997 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2009 | 22 | |
| 9 | 2008 | 19 | |
| 10 | 2005 | 12 | |
| 11 | 2005 | 11 | |
| 12 | 2003 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 1998 | 3 | |
| 16 | 2008 | 2 |
About Özlem Uğur
Özlem Uğur is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Endocrine and Autonomic Systems, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Lipid Membrane Structure and Behavior (3 papers), Adenosine and Purinergic Signaling (3 papers), Ion channel regulation and function (2 papers), Neuropeptides and Animal Physiology (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Animal Science and Zoology (62 citations), Cellular and Molecular Neuroscience (97 citations), Physiology (21 citations), Molecular Biology (292 citations) and Physiology (98 citations). Özlem Uğur has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include H. Ongun Onaran, Teresa L.Z. Jones, Mehmet Uğur, John R. McCullough, Sankar Mitra, Hiroshi Yamaguchi, H. M. Goodman, Joan M. Caron, Caterina Ambrosio and Ching‐Kang Chen. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, European Journal of Pharmacology, Molecular Biology of the Cell and Pharmacology.
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.