Philip A. Nunn

1.9k citations
28 papers · 1.1k indexed · h-index 16
Topics
Urinary Bladder and Prostate Research (11 papers)Chronic Lymphocytic Leukemia Research (8 papers)Adenosine and Purinergic Signaling (5 papers)

In The Last Decade

Philip A. Nunn

26 papers receiving 1.1k citations

Peers

Philip A. Nunn
Comparison fields: 5 of 75
  • Physiology 326
  • Urology 310
  • Endocrine and Autonomic Systems 253
  • Physiology 229
  • Molecular Biology 227
Replace Violeta N. Mutafova–Yambolieva with:
Violeta N. Mutafova–Yambolieva United States
Catherine Vial United Kingdom
Angela K. Best United States
Jun‐Jang Jin South Korea
Sonya Meeker United States
Enrique Hilario Spain
Luca Szalontay United States
Tetsuya Sugiyama Japan
Michela Figini Italy
Scott C. Supowit United States
Philip A. Nunn relative to Violeta N. Mutafova–Yambolieva United States Violeta N. Mutafova–Yambolieva's profile →
Citations per field
00.5×1.5×2.4×
Violeta N. Mutafova–Yambolieva · 1×
Citations per year

Countries citing papers authored by Philip A. Nunn

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Nunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Nunn. 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 Philip A. Nunn. The network helps show where Philip A. Nunn may publish in the future.

Co-authorship network of co-authors of Philip A. Nunn

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Nunn. A scholar is included among the top collaborators of Philip A. Nunn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip A. Nunn. Philip A. Nunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 11
3 36
4 68
5 12
6 20
7 18
8 15
9 64
10
Selective blockade of spinal P2X3 and P2X2/3 receptors with a novel and selective antagonist, AF-742, reveals central endogenous purinergic regulation of bladder activity
1
11 30
12 114
13 32
14 18
15 16
16 103
17 305
18 1
19 7
20 18

About Philip A. Nunn

Philip A. Nunn is a scholar working on Urology, Physiology and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (11 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Physiology (326 citations), Urology (310 citations) and Endocrine and Autonomic Systems (253 citations). Philip A. Nunn has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Anthony Ford, Debra A. Cockayne, Yu Zhong, Ping K. Yip, Stephen B. McMahon, Weifang Rong, Sara G. Hamilton, Gillian E. Knight, Geoffrey Burnstock and Bei Ma. Their work appears in journals such as Journal of Neuroscience, Blood and The Journal of Immunology.

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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