Andrew Todd

1.5k citations
31 papers · 1.2k · h-index 15

Impact in

    • Neuroscience and Neuropharmacology Research
    • Neuropeptides and Animal Physiology
    • Nerve injury and regeneration
    • Neurobiology and Insect Physiology Research
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

Andrew Todd

29 papers receiving 1.2k citations

Peers

Andrew Todd
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 693
  • Physiology 575
  • Developmental Neuroscience 68
  • Equine 24
  • Endocrine and Autonomic Systems 83
Replace Weiqi Zhang with:
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Mert Ertunç Türkiye
Andrew Todd relative to Weiqi Zhang Germany Weiqi Zhang's profile →
Citations per field
00.5×4.9×
Weiqi Zhang · 1×
Citations per year

Countries citing papers authored by Andrew Todd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003366
2 2004115
3 199596
4 199780
5 199377
6 199272
7 200157
8 200754
9 201051
10 201247
11
The morphology of Golgi-stained neurons in lamina II of the rat spinal cord.
198644
12 201122
13 200221
14 201217
15 201214
16 201611
17 20127
18 20125
19 20094
20
Groundwater Visualisation System (GVS): a software framework for developing low-end, scalable and robust software for 3D visualisation and animation of groundwater conceptual models
20094

About Andrew Todd

Andrew Todd is a scholar working on Finance, Economics and Econometrics, Cellular and Molecular Neuroscience, Physiology and Management Science and Operations Research, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Complex Systems and Time Series Analysis (13 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 (693 citations), Physiology (575 citations), Developmental Neuroscience (68 citations), Equine (24 citations) and Endocrine and Autonomic Systems (83 citations). Andrew Todd has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Erika Polgár, R.C. Spike, Margaret Mackie, Gergely Nagy, David Maxwell, Ole Petter Ottersen, David I. Hughes, Steven J. Gray, John S. Riddell and Frank A. Proudlock. Their work appears in journals such as Neuroscience, European Journal of Neuroscience, Pain, PLoS ONE and Brain Research.

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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