Tim D. Werry
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- Neuropeptides and Animal Physiology 3
- Neuroscience and Neuropharmacology Research 2
- Physiology top 5%
- Adenosine and Purinergic Signaling 3
- Endocrine and Autonomic Systems top 10%
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- Receptor Mechanisms and Signaling 8
- Protein Kinase Regulation and GTPase Signaling 2
- Ion channel regulation and function 2
- RNA regulation and disease 2
- CRISPR and Genetic Engineering 1
- Co-authors
- Patrick M. SextonArthur ChristopoulosGary B. WillarsGraeme WilkinsonRichard LoiaconoKaren J. GregoryEmma T. van der WesthuizenRoger J. Summers
- Journals
- SLAS DISCOVERY (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Endocrinology (1 paper)
- Partner nations
- AustraliaUnited KingdomGermany
In The Last Decade
Tim D. Werry
12 papers receiving 714 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 329
- Physiology 51
- Endocrine and Autonomic Systems 60
- Molecular Biology 496
- Biological Psychiatry 17
Countries citing papers authored by Tim D. Werry
This map shows the geographic impact of Tim D. Werry'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 Tim D. Werry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim D. Werry more than expected).
Fields of papers citing papers by Tim D. Werry
This network shows the impact of papers produced by Tim D. Werry. 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 Tim D. Werry. The network helps show where Tim D. Werry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tim D. Werry, 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 | 2010 | 22 | |
| 2 | 2010 | 76 | |
| 3 | 2009 | 2 | |
| 4 | 2008 | 15 | |
| 5 | 2008 | 131 | |
| 6 | 2008 | 106 | |
| 7 | 2007 | 72 | |
| 8 | 2006 | 31 | |
| 9 | 2005 | 73 | |
| 10 | 2003 | 20 | |
| 11 | 2003 | 147 | |
| 12 | 2002 | 28 |
About Tim D. Werry
Tim D. Werry is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Oncology, having authored 12 papers that have together received 723 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Adenosine and Purinergic Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ion channel regulation and function (2 papers), RNA regulation and disease (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (329 citations), Physiology (51 citations), Endocrine and Autonomic Systems (60 citations), Molecular Biology (496 citations) and Biological Psychiatry (17 citations). Tim D. Werry has collaborated with scholars based in Australia, United Kingdom and Germany. Frequent co-authors include Patrick M. Sexton, Arthur Christopoulos, Gary B. Willars, Graeme Wilkinson, Richard Loiacono, Karen J. Gregory, Emma T. van der Westhuizen, Roger J. Summers, Maria Morfis and George Christopoulos. Their work appears in journals such as SLAS DISCOVERY, Journal of Pharmacology and Experimental Therapeutics, Endocrinology, Neuropharmacology and Biochemical Journal.
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.