David Soyoye

49 total papers · 405 total citations
16 papers, 222 citations indexed

About

David Soyoye is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, David Soyoye has authored 16 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in David Soyoye's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Peripheral Artery Disease Management (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). David Soyoye is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Peripheral Artery Disease Management (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). David Soyoye collaborates with scholars based in Nigeria and Zambia. David Soyoye's co-authors include Babatope Kolawole, Anthony Olubunmi Akintomide, Olugbenga Olusola Abiodun, Rosemary Ikem, Bukunmi Michael Idowu, Adeleye Dorcas Omisore, Kehinde Sunday Oluwadiya, OO Ayoola, Omotade Adebimpe Ijarotimi and D A Ndububa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes & Metabolic Syndrome Clinical Research & Reviews and World Journal of Diabetes.

In The Last Decade

David Soyoye

14 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
David Soyoye 149 104 44 39 35 16 222
Laurence Baillet‐Blanco 143 1.0× 122 1.2× 38 0.9× 16 0.4× 46 1.3× 11 329
Pinelopi Grigoropoulou 131 0.9× 60 0.6× 23 0.5× 37 0.9× 21 0.6× 16 246
Ray M. Price 116 0.8× 206 2.0× 28 0.6× 30 0.8× 68 1.9× 14 330
L. Monge 121 0.8× 108 1.0× 23 0.5× 38 1.0× 13 0.4× 19 258
Gary W. Edelson 161 1.1× 56 0.5× 24 0.5× 103 2.6× 25 0.7× 17 302
Liying Guan 147 1.0× 18 0.2× 104 2.4× 16 0.4× 16 0.5× 17 258
Marissa Lightbourne 85 0.6× 111 1.1× 54 1.2× 20 0.5× 30 0.9× 20 293
E. Eskelinen 114 0.8× 243 2.3× 22 0.5× 58 1.5× 67 1.9× 13 314
Stephen Gough 179 1.2× 166 1.6× 20 0.5× 9 0.2× 76 2.2× 12 316
Veena Roberts 52 0.3× 68 0.7× 24 0.5× 5 0.1× 47 1.3× 16 319

Countries citing papers authored by David Soyoye

Since Specialization
Citations

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

Fields of papers citing papers by David Soyoye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Soyoye

This figure shows the co-authorship network connecting the top 25 collaborators of David Soyoye. A scholar is included among the top collaborators of David Soyoye 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 David Soyoye. David Soyoye 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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