John D. Allison

1.6k citations
41 papers · 646 · h-index 16

Impact in

Papers in

John D. Allison

34 papers receiving 619 citations

Peers

John D. Allison
Comparison fields: 5 of 88
  • Cognitive Neuroscience 371
  • Developmental Biology 40
  • Cellular and Molecular Neuroscience 182
  • Sensory Systems 35
  • Developmental Neuroscience 12
Replace Cecil Chern‐Chyi Yen with:
Cecil Chern‐Chyi Yen United States
James C. Prechtl United States
Kenzo Kumamoto Japan
Henner Koch Germany
Omer Bar‐Yosef Israel
Rita Grimm Germany
Tomonari Murakami Japan
Qingchun Guo China
Seth Dobrin United States
Adrian L. Williams United Kingdom
John D. Allison relative to Cecil Chern‐Chyi Yen United States Cecil Chern‐Chyi Yen's profile →
Citations per field
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Citations per year

Countries citing papers authored by John D. Allison

Since Specialization
Citations

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

Fields of papers citing papers by John D. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Allison. 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 John D. Allison. The network helps show where John D. Allison may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001134
2 200654
3 200145
4 200439
5 200337
6 200030
7 199628
8 201527
9 200823
10 198323
11 200823
12 199523
13 199420
14 199317
15 200816
16 200316
17 202014
18 198113
19 202412
20 201711

About John D. Allison

John D. Allison is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 41 papers that have together received 646 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Atrial Fibrillation Management and Outcomes (10 papers), Visual perception and processing mechanisms (9 papers), Cardiac Arrhythmias and Treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurobiology and Insect Physiology Research (4 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Animal Behavior and Reproduction (3 papers). The work is most often cited by research in Cognitive Neuroscience (371 citations), Developmental Biology (40 citations), Cellular and Molecular Neuroscience (182 citations), Sensory Systems (35 citations) and Developmental Neuroscience (12 citations). John D. Allison has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include A. B. Bonds, Vivien A. Casagrande, Walter Wilczynski, Jason M. Samonds, Heather A. Brown, Xiangmin Xu, Jamie D. Boyd, Jennifer M. Ichida, Aron M. Troen and A. Bernardo. Their work appears in journals such as Visual Neuroscience, Heart Rhythm, Journal of Vision, Journal of the American College of Cardiology and Journal of Cardiovascular Electrophysiology.

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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