William M. DeBello

1.4k citations
24 papers · 1.1k · h-index 14

Impact in

Papers in

William M. DeBello

24 papers receiving 1.1k citations

Peers

William M. DeBello
Comparison fields: 5 of 83
  • Cell Biology 674
  • Cellular and Molecular Neuroscience 478
  • Developmental Biology 36
  • Physiology 69
  • Sensory Systems 67
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P. E. Miller United States
Alexander Meyer Germany
Olexiy Kochubey Switzerland
Chad P. Grabner United States
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Sachihiro C. Suzuki United States
Sonja J. Pyott Netherlands
Wilko D. Altrock Germany
Naoto Saitoh Japan
Yunyun Han China
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Citations per field
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Citations per year

Countries citing papers authored by William M. DeBello

Since Specialization
Citations

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

Fields of papers citing papers by William M. DeBello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. DeBello. 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 William M. DeBello. The network helps show where William M. DeBello may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993257
2 1995130
3 1993111
4 1996101
5 200198
6 199888
7 199959
8 199856
9 200854
10 200038
11 200431
12 201429
13 200828
14 201013
15 199412
16 20079
17 20158
18 20195
19 20084
20 19944

About William M. DeBello

William M. DeBello is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cell Biology, Molecular Biology and Sensory Systems, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Cellular transport and secretion (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Lipid Membrane Structure and Behavior (8 papers), Neurobiology and Insect Physiology Research (6 papers), Retinal Development and Disorders (3 papers), Advanced Memory and Neural Computing (3 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). The work is most often cited by research in Cell Biology (674 citations), Cellular and Molecular Neuroscience (478 citations), Developmental Biology (36 citations), Physiology (69 citations) and Sensory Systems (67 citations). William M. DeBello has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include George J Augustine, Heinrich Betz, Eric I. Knudsen, Felix E. Schweizer, Milton P. Charlton, Kurt Bommert, Gilbert Chin, Vincent O’Connor, Thomas Dresbach and Marie E. Burns. Their work appears in journals such as Journal of Neuroscience, Nature, eNeuro, Frontiers in Neural Circuits and Cell.

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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