Phillip H. Smith

68 total papers · 1.5k total citations
48 papers, 1.1k citations indexed

About

Phillip H. Smith is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Phillip H. Smith has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 17 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Physiology. Recurrent topics in Phillip H. Smith's work include Pancreatic function and diabetes (18 papers), Neuroendocrine Tumor Research Advances (8 papers) and Diabetes Management and Research (8 papers). Phillip H. Smith is often cited by papers focused on Pancreatic function and diabetes (18 papers), Neuroendocrine Tumor Research Advances (8 papers) and Diabetes Management and Research (8 papers). Phillip H. Smith collaborates with scholars based in United States, United Kingdom and Egypt. Phillip H. Smith's co-authors include Olavi Pykälistö, John D. Brunzell, D. Porte, Daniel Porte, Yutaka Seino, Barbara J. Davis, William B. Rhoten, Gerald J. Taborsky, Katherine L. Madson and John Barrett and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Diabetes.

In The Last Decade

Phillip H. Smith

48 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Phillip H. Smith	386	332	255	225	157	48	1.1k
Kaori Ikeda	127 0.3×	207 0.6×	244 1.0×	377 1.7×	129 0.8×	61	1.1k
Kei Takahashi	344 0.9×	141 0.4×	281 1.1×	232 1.0×	61 0.4×	75	1.2k
A. Jakob	185 0.5×	213 0.6×	250 1.0×	476 2.1×	213 1.4×	53	1.2k
Yutaro Takamura	272 0.7×	128 0.4×	238 0.9×	77 0.3×	58 0.4×	51	1.1k
Song Wen	120 0.3×	228 0.7×	188 0.7×	310 1.4×	55 0.4×	61	1.4k
Michael D. Bell	172 0.4×	70 0.2×	84 0.3×	201 0.9×	91 0.6×	33	1.4k
Alison Evans	152 0.4×	267 0.8×	101 0.4×	148 0.7×	145 0.9×	49	940
Code Cf	442 1.1×	55 0.2×	232 0.9×	262 1.2×	141 0.9×	46	1.4k
Leigh Ann Samsa	243 0.6×	78 0.2×	143 0.6×	649 2.9×	85 0.5×	29	1.3k
Madelene Ericsson	200 0.5×	269 0.8×	286 1.1×	552 2.5×	100 0.6×	53	1.3k

Countries citing papers authored by Phillip H. Smith

Since Specialization

Citations

This map shows the geographic impact of Phillip H. 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 H. 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 H. Smith more than expected).

Fields of papers citing papers by Phillip H. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip H. Smith. A scholar is included among the top collaborators of Phillip H. 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 H. Smith. Phillip H. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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