Brian Mulloney

3.4k citations
71 papers · 2.7k indexed · h-index 34

Impact in

Papers in

Brian Mulloney

70 papers receiving 2.6k citations

Peers

Brian Mulloney
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 2.1k
  • Cognitive Neuroscience 1.2k
  • Ecology 643
  • Ecology, Evolution, Behavior and Systematics 440
  • Endocrine and Autonomic Systems 139
Replace Maurice Moulins with:
Maurice Moulins France
Daniel K. Hartline United States
RL Calabrese United States
Ronald L. Calabrese United States
Harold M. Pinsker United States
Andrew S. French Canada
Dirk Bucher United States
Paul S. Katz United States
David J. Schulz United States
Jorge Golowasch United States
Brian Mulloney relative to Maurice Moulins France Maurice Moulins's profile →
Citations per field
00.5×2.8×
Maurice Moulins · 1×
Citations per year

Countries citing papers authored by Brian Mulloney

Since Specialization
Citations

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

Fields of papers citing papers by Brian Mulloney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201419
2 201247
3 200942
4 200720
5 20077
6 200524
7 20043
8 200339
9 20022
10 199817
11 199870
12 199738
13 199414
14 199418
15 199150
16 199132
17 198811
18 198737
19 198633
20
Different neuropils in the abdominal ganglia of a crayfish have distinctive integrative functions
19842

About Brian Mulloney

Brian Mulloney is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology, Evolution, Behavior and Systematics, Statistical and Nonlinear Physics and Ecology, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (51 papers), Neural dynamics and brain function (37 papers), Cephalopods and Marine Biology (14 papers), Crustacean biology and ecology (14 papers), Photoreceptor and optogenetics research (11 papers), Neuroscience and Neural Engineering (9 papers), stochastic dynamics and bifurcation (8 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Cognitive Neuroscience (1.2k citations), Ecology (643 citations), Ecology, Evolution, Behavior and Systematics (440 citations) and Endocrine and Autonomic Systems (139 citations). Brian Mulloney has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Allen I. Selverston, Donald H. Perkel, Wendy M. Hall, D. H. Paul, Frances K. Skinner, J. F. Iles, Carmen Smarandache‐Wellmann, Karen A. Sigvardt, Esther M. Leise and Rubén Budelli. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Journal of Comparative Physiology A, Journal of Experimental Biology 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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