Daniel Beacham

743 citations
13 papers · 576 indexed · h-index 10

Impact in

Papers in

Daniel Beacham

13 papers receiving 567 citations

Peers

Daniel Beacham
Comparison fields: 5 of 88
  • Sensory Systems 78
  • Cellular and Molecular Neuroscience 224
  • Developmental Neuroscience 30
  • Physiology 125
  • Molecular Biology 306
Replace Gábor L. Petheö with:
Gábor L. Petheö Hungary
Juan José Marengo Chile
Minho Kang United States
Malcolm Hunter United Kingdom
Argelia E. Rojas-Mayorquín Mexico
Shanti Diwakarla Australia
Katrin Schnizler Germany
G Szücs Hungary
Sharron Dolan United Kingdom
Daniel Beacham relative to Gábor L. Petheö Hungary Gábor L. Petheö's profile →
Citations per field
00.5×
Gábor L. Petheö · 1×
Citations per year

Countries citing papers authored by Daniel Beacham

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Beacham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2009107
2 2008103
3 200458
4 201554
5 200949
6 201048
7 200741
8 200338
9 200435
10 200731
11 19979
12 20082
13
Illuminating Endocytosis with Targeted pH-sensitive Fluorescent Compounds
20131

About Daniel Beacham

Daniel Beacham is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 13 papers that have together received 576 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Neuropeptides and Animal Physiology (3 papers), Cystic Fibrosis Research Advances (2 papers), Receptor Mechanisms and Signaling (2 papers), Ion Channels and Receptors (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Sensory Systems (78 citations), Cellular and Molecular Neuroscience (224 citations), Developmental Neuroscience (30 citations), Physiology (125 citations) and Molecular Biology (306 citations). Daniel Beacham has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include William A. Catterall, Todd Scheuer, Martin Koltzenburg, Elizabeth M. Sharp, Frank H. Yu, Yuan Chen, Misol Ahn, Vytautas P. Bindokas, Deborah J. Nelson and Alexander J. Gallan. Their work appears in journals such as Journal of Neuroscience, SLAS DISCOVERY, Pain, Journal of Biological Chemistry and Brain Research.

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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