James Ashley

3.8k citations
47 papers · 2.7k · h-index 21

Impact in

Papers in

James Ashley

43 papers receiving 2.7k citations

Peers

James Ashley
Comparison fields: 5 of 123
  • Aging 164
  • Cellular and Molecular Neuroscience 1.1k
  • Cell Biology 696
  • Molecular Biology 1.7k
  • Developmental Neuroscience 93
Replace Jun Yao with:
Jun Yao United States
Kristi A. Wharton United States
Tomoko Ohyama United States
Daniel R. Berger United States
Sylvie Schneider‐Maunoury France
Pablo Pérez‐Piñera United States
Takao Nakagawa Japan
Hitoshi Sakano Japan
C. A. Erickson United States
Bassem A. Hassan Belgium
James Ashley relative to Jun Yao United States Jun Yao's profile →
Citations per field
00.5×1.6×
Jun Yao · 1×
Citations per year

Countries citing papers authored by James Ashley

Since Specialization
Citations

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

Fields of papers citing papers by James Ashley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009359
2 2018312
3 2012257
4 2008216
5 2013193
6 2007132
7 2004130
8 2005128
9 2009121
10 2012120
11 2013113
12 2010100
13 200698
14 201292
15 201460
16 200742
17 200937
18 201937
19 201929
20 201625

About James Ashley

James Ashley is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Signal Processing and Cognitive Neuroscience, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Cellular transport and secretion (12 papers), Neuroscience and Neuropharmacology Research (8 papers), Speech and Audio Processing (5 papers), Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), Hearing Loss and Rehabilitation (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). The work is most often cited by research in Aging (164 citations), Cellular and Molecular Neuroscience (1.1k citations), Cell Biology (696 citations), Molecular Biology (1.7k citations) and Developmental Neuroscience (93 citations). James Ashley has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Vivian Budnik, Bulent Ataman, Romina Barría, Preethi Ramachandran, J. H. Webb, Travis Thomson, Yihang Li, Lee G. Fradkin, Michael Gorczyca and Stephan J. Sigrist. Their work appears in journals such as Cold Spring Harbor Protocols, Neuron, Journal of Neuroscience, Cell and Developmental Neurobiology.

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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