Steve Standley

20 papers receiving 1.7k citations

Peers

Steve Standley
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 128
  • Neurology 144
  • Molecular Biology 1.1k
  • Cell Biology 243
Replace Leslie T. Schenker with:
Leslie T. Schenker United States
Paul Charlesworth United Kingdom
Kate Prybylowski United States
Bruce E. Herring United States
Kelly A. Foster United States
Kenichi Okamoto Japan
Karl‐Heinz Braunewell Germany
Eric S. Guire United States
Emmanuel M. Landau United States
Michael C. Ashby United Kingdom
Steve Standley relative to Leslie T. Schenker United States Leslie T. Schenker's profile →
Citations per field
00.5×1.5×1.8×
Leslie T. Schenker · 1×
Citations per year

Countries citing papers authored by Steve Standley

Since Specialization
Citations

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

Fields of papers citing papers by Steve Standley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001456
2 2000311
3 2003295
4 2012162
5 1993121
6 2015100
7 199560
8 199844
9 200041
10 200330
11 199222
12 199420
13 200320
14 199220
15 201215
16 199815
17 19987
18 20147
19 20183
20 19982

About Steve Standley

Steve Standley is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Cognitive Neuroscience, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (6 papers), Receptor Mechanisms and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cellular transport and secretion (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (128 citations), Neurology (144 citations), Molecular Biology (1.1k citations) and Cell Biology (243 citations). Steve Standley has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Robert J. Wenthold, Katherine W. Roche, Jennifer McCallum, Nathalie Sans, Michel Baudry, Michael Ehlers, Calvin Ly, Ronald S. Petralia, Kate Prybylowski and Georges Tocco. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, The Annual Review of Pharmacology and Toxicology, Biochemical and Biophysical Research Communications, European Journal of Neuroscience and Cellular and Molecular Life Sciences.

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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