Phillip P. Smith

1.6k total citations
60 papers, 1.1k citations indexed

About

Phillip P. Smith is a scholar working on Urology, Rheumatology and Epidemiology. According to data from OpenAlex, Phillip P. Smith has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Urology, 44 papers in Rheumatology and 12 papers in Epidemiology. Recurrent topics in Phillip P. Smith's work include Urinary Bladder and Prostate Research (51 papers), Pelvic floor disorders treatments (44 papers) and Urological Disorders and Treatments (18 papers). Phillip P. Smith is often cited by papers focused on Urinary Bladder and Prostate Research (51 papers), Pelvic floor disorders treatments (44 papers) and Urological Disorders and Treatments (18 papers). Phillip P. Smith collaborates with scholars based in United States, United Kingdom and Netherlands. Phillip P. Smith's co-authors include George A. Kuchel, Rodney A. Appell, Anthony M. DeAngelis, Peter Rosier, Peter Zvara, Jan Krhút, L Valanský, Roman Zachoval, A Martan and Lori A. Birder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and The Journal of Urology.

In The Last Decade

Phillip P. Smith

57 papers receiving 1.0k citations

Peers

Phillip P. Smith
Comparison fields: 5 of 68
  • Urology 852
  • Rheumatology 791
  • Epidemiology 254
  • Surgery 237
  • Pulmonary and Respiratory Medicine 94
Replace Suzanne Biers with:
Suzanne Biers United Kingdom
Jeroen R. Scheepe Netherlands
Ramon Perez-Marrero United States
Kaname Ameda Japan
Heinrich Schulte‐Baukloh Germany
Yosuke Matsuta Japan
M. J. SPEAKMAN United Kingdom
Filomena Petta Italy
Jeffrey Mangel United States
Kamal B. Labib United States
Suzanne Biers United Kingdom View profile →
Citations per field, relative to Phillip P. Smith
Phillip P. Smith · 1×
Citations per year, relative to Phillip P. Smith
Phillip P. Smith · 1×

Countries citing papers authored by Phillip P. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Phillip P. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip P. Smith. A scholar is included among the top collaborators of Phillip P. Smith 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 Phillip P. Smith. Phillip P. Smith 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
# Work Indexed citations
1 3
2 1
3 7
4 6
5 16
6 8
7 6
8 24
9 8
10 6
11 1
12 31
13 14
14 6
15 45
16 4
17 23
18 12
19 27
20 4

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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