Andrew Todd
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- Neuropeptides and Animal Physiology 4
- Neuroscience and Neuropharmacology Research 3
- Physiology top 5%
- Pain Mechanisms and Treatments 8
- Developmental Neuroscience top 5%
- Equine top 5%
- Endocrine and Autonomic Systems top 10%
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- Complex Systems and Time Series Analysis 13
- Economic theories and models 6
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- Financial Markets and Investment Strategies 12
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- Stock Market Forecasting Methods 5
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- Ion channel regulation and function 4
- Co-authors
- Erika PolgárR.C. SpikeGergely NagyDavid MaxwellDavid I. HughesMargaret MackieOle Petter OttersenSteven J. Gray
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew Todd
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 732
- Physiology 598
- Developmental Neuroscience 75
- Equine 24
- Endocrine and Autonomic Systems 85
Countries citing papers authored by Andrew Todd
This map shows the geographic impact of Andrew Todd'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 Andrew Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Todd more than expected).
Fields of papers citing papers by Andrew Todd
This network shows the impact of papers produced by Andrew Todd. 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 Andrew Todd. The network helps show where Andrew Todd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Todd, 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 | 2019 | 2 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 1 | |
| 4 | 2014 | 3 | |
| 5 | 2014 | 0 | |
| 6 | 2013 | 3 | |
| 7 | 2012 | 7 | |
| 8 | 2011 | 2 | |
| 9 | 2011 | 22 | |
| 10 | Community engagement and groundwater investigation in a rural/peri urban basaltic aquifier system, Tamborine Mountain, South East Queensland | 2010 | 1 |
| 11 | 2009 | 4 | |
| 12 | 2007 | 54 | |
| 13 | 2004 | 115 | |
| 14 | 2003 | 364 | |
| 15 | 2002 | 21 | |
| 16 | 2001 | 56 | |
| 17 | 1997 | 80 | |
| 18 | 1995 | 95 | |
| 19 | 1993 | 77 | |
| 20 | 1992 | 72 |
About Andrew Todd
Andrew Todd is a scholar working on Finance, Cellular and Molecular Neuroscience, Developmental Neuroscience, Economics and Econometrics and Management Science and Operations Research, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (13 papers), Financial Markets and Investment Strategies (12 papers), Pain Mechanisms and Treatments (8 papers), Economic theories and models (6 papers), Stock Market Forecasting Methods (5 papers), Ion channel regulation and function (4 papers), Neuropeptides and Animal Physiology (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (732 citations), Physiology (598 citations), Developmental Neuroscience (75 citations), Equine (24 citations) and Endocrine and Autonomic Systems (85 citations). Andrew Todd has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Erika Polgár, R.C. Spike, Gergely Nagy, David Maxwell, David I. Hughes, Margaret Mackie, Ole Petter Ottersen, Steven J. Gray, John S. Riddell and Frank A. Proudlock. Their work appears in journals such as Neuroscience, European Journal of Neuroscience, Brain Research, Journal of Neurophysiology and Pain.
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.