Gábor Turu

35 papers receiving 1.2k citations

Peers

Gábor Turu
Comparison fields: 5 of 102
  • Sensory Systems 158
  • Pharmacology 509
  • Cellular and Molecular Neuroscience 464
  • Endocrine and Autonomic Systems 95
  • Endocrinology, Diabetes and Metabolism 180
Replace JA Peters with:
JA Peters United Kingdom
Tino Dyhring Denmark
Bernard Bucher France
Paolo Ambrosino Italy
Tiffany Runyan Garrison United States
Y Lai United States
Dmytro Isaev Ukraine
Daniel C.-H. Lin United States
Yui Yamamoto Japan
Annagrazia Adornetto Italy
Gábor Turu relative to JA Peters United Kingdom JA Peters's profile →
Citations per field
00.5×10×16.8×
JA Peters · 1×
Citations per year

Countries citing papers authored by Gábor Turu

Since Specialization
Citations

This map shows the geographic impact of Gábor Turu'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 Gábor Turu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Turu more than expected).

Fields of papers citing papers by Gábor Turu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Turu. 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 Gábor Turu. The network helps show where Gábor Turu may publish in the future.

Co-authors

The 25 scholars most cited alongside Gábor Turu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gábor Turu Line = papers co-authored together Gábor Turu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009253
2 2017212
3 200766
4 200554
5 200954
6 201246
7 201845
8 201944
9 201742
10 201240
11 201339
12 201139
13 201533
14 200232
15 200430
16 201430
17 200927
18 201623
19 201022
20 200720

About Gábor Turu

Gábor Turu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Cardiology and Cardiovascular Medicine and Surgery, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Cannabis and Cannabinoid Research (10 papers), Renin-Angiotensin System Studies (9 papers), Neuropeptides and Animal Physiology (7 papers), Pancreatic function and diabetes (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Computational Drug Discovery Methods (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Sensory Systems (158 citations), Pharmacology (509 citations), Cellular and Molecular Neuroscience (464 citations), Endocrine and Autonomic Systems (95 citations) and Endocrinology, Diabetes and Metabolism (180 citations). Gábor Turu has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include László Hunyady, András Balla, László Szidonya, András Dávid Tóth, Péter Várnai, Bence Szalai, György Bagdy, Kevin Catt, Adrian J. L. Clark and Guillermo Cecchi. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Endocrinology, International Journal of Molecular Sciences, Frontiers in Endocrinology and Trends in Endocrinology and Metabolism.

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.

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