J. Tiao

797 citations
13 papers · 588 indexed · h-index 9

Impact in

Papers in

J. Tiao

12 papers receiving 578 citations

Peers

J. Tiao
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 312
  • Biological Psychiatry 20
  • Molecular Biology 376
  • Developmental Neuroscience 14
  • Neurology 24
Replace Arianna Venturini with:
Arianna Venturini Italy
Cristina Tinti Italy
Fernando J. Sialana Austria
Eduardo Pérez‐Palma United States
Maider López de Jesús Spain
Benjamin Siddoway United States
Karolina J. Janczura United States
Gillian Seaton United Kingdom
Nicola Forte Italy
Shehrazade Dahimène United Kingdom
J. Tiao relative to Arianna Venturini Italy Arianna Venturini's profile →
Citations per field
00.5×
Arianna Venturini · 1×
Citations per year

Countries citing papers authored by J. Tiao

Since Specialization
Citations

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

Fields of papers citing papers by J. Tiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside J. Tiao, 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 J. Tiao Line = papers co-authored together J. Tiao links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20220
2 20215
3 201716
4 201714
5 201644
6
KCTD Hetero-oligomers confer unique kinetic properties on Hippocampal GABA B Receptor-Induced K + Currents
20161
7 20163
8 2010251
9 200829
10 2006121
11 200215
12 200244
13 200245

About J. Tiao

J. Tiao is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Hematology, Molecular Biology and Obstetrics and Gynecology, having authored 13 papers that have together received 588 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Renal and Vascular Pathologies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (312 citations), Biological Psychiatry (20 citations), Molecular Biology (376 citations), Developmental Neuroscience (14 citations) and Neurology (24 citations). J. Tiao has collaborated with scholars based in Australia, Switzerland and Czechia. Frequent co-authors include Bernhard Bettler, Martin Gassmann, Michaela Metz, Rostislav Tureček, Riad Seddik, Thorsten Fritzius, Jochen Schwenk, Bernd Fakler, Etsuko Tarusawa and Mathieu Rajalu. Their work appears in journals such as Journal of Biological Chemistry, Australian Journal of Chemistry, Journal of Neuroscience, Nature and Pharmacology & Therapeutics.

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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