William Dalby‐Brown

564 citations
13 papers · 460 · h-index 11

Impact in

Papers in

William Dalby‐Brown

13 papers receiving 447 citations

Peers

William Dalby‐Brown
Comparison fields: 5 of 70
  • Sensory Systems 106
  • Cellular and Molecular Neuroscience 131
  • Neurology 55
  • Cardiology and Cardiovascular Medicine 104
  • Molecular Biology 254
Replace Nicolás Pineda-Trujillo with:
Nicolás Pineda-Trujillo Colombia
Natalie Clark United Kingdom
Eloy G. Moreno‐Galindo Mexico
Hidetsugu Okada Japan
Shreya Patel United States
Mohammad‐Reza Ghovanloo United States
Minho Kang United States
M.Devrim Doğan Türkiye
R. Kyle Palmer United States
Rainer Netzer Germany
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Citations per field
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Nicolás Pineda-Trujillo · 1×
Citations per year

Countries citing papers authored by William Dalby‐Brown

Since Specialization
Citations

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

Fields of papers citing papers by William Dalby‐Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Dalby‐Brown. 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 Dalby‐Brown. The network helps show where William Dalby‐Brown may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006113
2 200666
3 200754
4 200642
5 201437
6 201129
7 201827
8 201727
9 201323
10 201823
11 201517
12 20191
13 20071

About William Dalby‐Brown

William Dalby‐Brown is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Sensory Systems and Physiology, having authored 13 papers that have together received 460 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Cardiac electrophysiology and arrhythmias (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Pain Mechanisms and Treatments (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Enzyme function and inhibition (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Sensory Systems (106 citations), Cellular and Molecular Neuroscience (131 citations), Neurology (55 citations), Cardiology and Cardiovascular Medicine (104 citations) and Molecular Biology (254 citations). William Dalby‐Brown has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Nawazish Mirza, Gordon Munro, Jens D. Mikkelsen, Ruth E. Blackburn-Munro, Gordon Blackburn-Munro, Naheed Mirza, Edward Lobariñas, Richard Salvi, Anne-Marie Lund Winther and Johannes D. Clausen. Their work appears in journals such as Acta Oto-Laryngologica, Antimicrobial Agents and Chemotherapy, CNS Drug Reviews, Blood and Bioorganic & Medicinal Chemistry Letters.

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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