Gareth R. Tibbs
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 19
- Neurobiology and Insect Physiology Research 3
- Photoreceptor and optogenetics research 2
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies 3
- Molecular Biology top 2%
- Ion channel regulation and function 27
- Nicotinic Acetylcholine Receptors Study 3
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- Cardiac electrophysiology and arrhythmias 10
- Cognitive Neuroscience top 5%
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- Pain Mechanisms and Treatments 5
- Co-authors
- Steven A. SiegelbaumBina SantoroDavid T. LiuEvan H GouldingDavid G. NichollsDušan BartschEric R. KandelBrian J. Wainger
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Gareth R. Tibbs
33 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 2.3k
- Sensory Systems 301
- Molecular Biology 2.5k
- Cardiology and Cardiovascular Medicine 791
- Cognitive Neuroscience 336
Countries citing papers authored by Gareth R. Tibbs
This map shows the geographic impact of Gareth R. Tibbs'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 Gareth R. Tibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth R. Tibbs more than expected).
Fields of papers citing papers by Gareth R. Tibbs
This network shows the impact of papers produced by Gareth R. Tibbs. 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 Gareth R. Tibbs. The network helps show where Gareth R. Tibbs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gareth R. Tibbs, 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 | 2023 | 1 | |
| 2 | 2018 | 14 | |
| 3 | 2014 | 3 | |
| 4 | 2013 | 54 | |
| 5 | 2011 | 35 | |
| 6 | 2009 | 6 | |
| 7 | 2008 | 8 | |
| 8 | 2007 | 33 | |
| 9 | 2007 | 46 | |
| 10 | 2005 | 52 | |
| 11 | 2001 | 387 | |
| 12 | 2000 | 497 | |
| 13 | 1999 | 297 | |
| 14 | 1998 | 57 | |
| 15 | 1997 | 91 | |
| 16 | 1996 | 142 | |
| 17 | 1994 | 180 | |
| 18 | 1989 | 270 | |
| 19 | 1989 | 81 | |
| 20 | 1989 | 16 |
About Gareth R. Tibbs
Gareth R. Tibbs is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (27 papers), Neuroscience and Neuropharmacology Research (19 papers), Cardiac electrophysiology and arrhythmias (10 papers), Pain Mechanisms and Treatments (5 papers), Neurobiology and Insect Physiology Research (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Olfactory and Sensory Function Studies (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Sensory Systems (301 citations) and Molecular Biology (2.5k citations). Gareth R. Tibbs has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Steven A. Siegelbaum, Bina Santoro, David T. Liu, Evan H Goulding, David G. Nicholls, Dušan Bartsch, Eric R. Kandel, Brian J. Wainger, Matthew DeGennaro and Gleb P. Shumyatsky. Their work appears in journals such as Nature, Journal of Neuroscience, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics and Neuron.
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.