A. Don Murphy

1k citations
26 papers · 934 · h-index 20

Impact in

Papers in

A. Don Murphy

26 papers receiving 883 citations

Peers

A. Don Murphy
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 732
  • Developmental Neuroscience 46
  • Paleontology 51
  • Cognitive Neuroscience 103
  • Endocrine and Autonomic Systems 20
Replace D. A. Sakharov with:
D. A. Sakharov Russia
Katherine Graubard United States
Stacia Brandon Moffett United States
Manfred Eckert Germany
Ann E. Stuart United States
DickR. N�ssel Sweden
I.G. Sinakevitch United States
Alan J. Nighorn United States
P�l R�hlich Hungary
J.P. Bacon United Kingdom
A. Don Murphy relative to D. A. Sakharov Russia D. A. Sakharov's profile →
Citations per field
00.5×2×3.1×
D. A. Sakharov · 1×
Citations per year

Countries citing papers authored by A. Don Murphy

Since Specialization
Citations

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

Fields of papers citing papers by A. Don Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Don Murphy. 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 A. Don Murphy. The network helps show where A. Don Murphy may publish in the future.

Co-authors

The 15 scholars most cited alongside A. Don Murphy, 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 A. Don Murphy Line = papers co-authored together A. Don Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198593
2 198086
3 198367
4 198860
5 200157
6 197855
7 197852
8 198552
9 197847
10 199743
11 199138
12 198036
13 199032
14 198031
15 200931
16 198325
17 199524
18 199422
19 199020
20 199620

About A. Don Murphy

A. Don Murphy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Sensory Systems and Endocrine and Autonomic Systems, having authored 26 papers that have together received 934 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neurobiology and Insect Physiology Research (7 papers), Nerve injury and regeneration (7 papers), Neuropeptides and Animal Physiology (3 papers), Neural dynamics and brain function (3 papers), Ion channel regulation and function (3 papers), Connexins and lens biology (2 papers) and Plant and Biological Electrophysiology Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (732 citations), Developmental Neuroscience (46 citations), Paleontology (51 citations), Cognitive Neuroscience (103 citations) and Endocrine and Autonomic Systems (20 citations). A. Don Murphy has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include Stanley B. Kater, Elizabeth M. Quinlan, Ken Lukowiak, William K. Stell, Andrew G. M. Bulloch, David L. A. Barker, Jeanne F. Loring, Andrew GM Bulloch, Linda R. Mills and Ching Kung. Their work appears in journals such as Journal of Experimental Biology, Journal of Neurophysiology, Brain Research, Journal of Neuroscience and The Journal of Comparative Neurology.

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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