Daniel P. Poole

94 papers receiving 4.1k citations

Peers

Daniel P. Poole
Comparison fields: 5 of 114
  • Sensory Systems 780
  • Gastroenterology 732
  • Physiology 212
  • Cellular and Molecular Neuroscience 789
  • Endocrine and Autonomic Systems 211
Replace Karnam S. Murthy with:
Karnam S. Murthy United States
Simon J. Gibbons United States
Eileen F. Grady United States
Julian R.F. Walters United Kingdom
Gabriel M. Makhlouf United States
Hamid I. Akbarali United States
Silvia Amadesi Italy
Masatomo Mori Japan
Patricia L. Brubaker Canada
Galina I. Botchkina United States
Daniel P. Poole relative to Karnam S. Murthy United States Karnam S. Murthy's profile →
Citations per field
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Karnam S. Murthy · 1×
Citations per year

Countries citing papers authored by Daniel P. Poole

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Poole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008325
2 2013304
3 2012287
4 2010197
5 2014179
6 2011141
7 2017140
8 2013127
9 2020124
10 2014123
11 2015109
12 200299
13 200293
14 200384
15 201674
16 201372
17 201068
18 201168
19 201964
20 200657

About Daniel P. Poole

Daniel P. Poole is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Gastroenterology, Physiology and Sensory Systems, having authored 97 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (28 papers), Receptor Mechanisms and Signaling (26 papers), Gastrointestinal motility and disorders (23 papers), Ion Channels and Receptors (20 papers), Pain Mechanisms and Treatments (15 papers), Adenosine and Purinergic Signaling (5 papers), Ion channel regulation and function (5 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Sensory Systems (780 citations), Gastroenterology (732 citations), Physiology (212 citations), Cellular and Molecular Neuroscience (789 citations) and Endocrine and Autonomic Systems (211 citations). Daniel P. Poole has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nigel W. Bunnett, John B. Furness, Nicholas A. Veldhuis, Fiore Cattaruzza, Carlos U. Corvera, Heather L. Robbins, Graeme S. Cottrell, Patrícia Castelucci, Farzad Alemi and Pierangelo Geppetti. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Biological Chemistry, Gastroenterology, Proceedings of the National Academy of Sciences and Neurogastroenterology & Motility.

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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