Sorin Tunaru
- Physiology top 5%
- Adipose Tissue and Metabolism 3
- Pain Mechanisms and Treatments 2
- Biochemistry top 2%
- Biological Psychiatry top 10%
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- Receptor Mechanisms and Signaling 9
- Sphingolipid Metabolism and Signaling 3
- Lipid Membrane Structure and Behavior 2
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- Ion Channels and Receptors 4
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- Pancreatic function and diabetes 4
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- Computational Drug Discovery Methods 2
- Co-authors
- Stefan OffermannsKashan AhmedJukka KeroAndree BlaukatAndreas GilleKlaus PfefferJulien HansonCong Tang
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- GermanyUnited StatesRomania
In The Last Decade
Sorin Tunaru
24 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 479
- Physiology 735
- Biochemistry 190
- Biological Psychiatry 53
- Cellular and Molecular Neuroscience 372
Countries citing papers authored by Sorin Tunaru
This map shows the geographic impact of Sorin Tunaru'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 Sorin Tunaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sorin Tunaru more than expected).
Fields of papers citing papers by Sorin Tunaru
This network shows the impact of papers produced by Sorin Tunaru. 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 Sorin Tunaru. The network helps show where Sorin Tunaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sorin Tunaru, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 6 | |
| 4 | 2018 | 75 | |
| 5 | 2017 | 1 | |
| 6 | 2017 | 50 | |
| 7 | 2017 | 25 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 270 | |
| 10 | 2012 | 154 | |
| 11 | 2011 | 77 | |
| 12 | 2010 | 165 | |
| 13 | 2010 | 325 | |
| 14 | 2009 | 202 | |
| 15 | 2009 | 76 | |
| 16 | 2007 | 104 | |
| 17 | 2005 | 109 | |
| 18 | 2003 | 26 | |
| 19 | PUMA-G and HM74 are receptors for nicotinic acid and mediate its anti-lipolytic effectbreakdown → | 2003 | 630 |
| 20 | 2003 | 49 |
About Sorin Tunaru
Sorin Tunaru is a scholar working on Sensory Systems, Physiology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Ion Channels and Receptors (4 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Pain Mechanisms and Treatments (2 papers), Computational Drug Discovery Methods (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Physiology (735 citations) and Biochemistry (190 citations). Sorin Tunaru has collaborated with scholars based in Germany, United States and Romania. Frequent co-authors include Stefan Offermanns, Kashan Ahmed, Jukka Kero, Andree Blaukat, Andreas Gille, Klaus Pfeffer, Julien Hanson, Cong Tang, Antonia Sassmann and Michaela Müller. 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.