Jonathan De Siqueira

25 total papers · 500 total citations
11 papers, 112 citations indexed

About

Jonathan De Siqueira is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jonathan De Siqueira has authored 11 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jonathan De Siqueira's work include Surgical Simulation and Training (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Peripheral Artery Disease Management (2 papers). Jonathan De Siqueira is often cited by papers focused on Surgical Simulation and Training (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Peripheral Artery Disease Management (2 papers). Jonathan De Siqueira collaborates with scholars based in United Kingdom. Jonathan De Siqueira's co-authors include Michael J. Gough, David Russell, Marina Yiasemidou, James Tomlinson, Jane Nixon, Heidi J. Siddle, Peter Culmer, Stephen B. Wheatcroft, Kostas Papagiannopoulos and Sreenivasan Ponnambalam and has published in prestigious journals such as Cochrane Database of Systematic Reviews, British journal of surgery and Heart.

In The Last Decade

Jonathan De Siqueira

9 papers receiving 110 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan De Siqueira 67 32 23 19 18 11 112
Ikumasa Nakajima 150 2.2× 31 1.0× 11 0.5× 14 0.7× 9 0.5× 9 235
Juerg Hafner 194 2.9× 9 0.3× 12 0.5× 9 0.5× 20 1.1× 9 259
C. G.A. McGregor 107 1.6× 22 0.7× 8 0.3× 6 0.3× 127 7.1× 16 239
Laura E. Martínez-Gómez 39 0.6× 9 0.3× 16 0.7× 19 1.0× 12 0.7× 11 230
M. Nowak 39 0.6× 4 0.1× 12 0.5× 11 0.6× 8 0.4× 14 122
Jenny Bacon 70 1.0× 55 1.7× 22 1.0× 6 0.3× 35 1.9× 11 246
Fernando Ruiz-Grande 134 2.0× 12 0.4× 93 4.0× 7 0.4× 5 0.3× 14 235
Patrick Moore 67 1.0× 37 1.2× 22 1.0× 2 0.1× 43 2.4× 11 150
J. D. Buxton 56 0.8× 12 0.4× 4 0.2× 6 0.3× 6 0.3× 13 126
Aeshita Dwivedi 68 1.0× 44 1.4× 22 1.0× 8 0.4× 115 6.4× 15 223

Countries citing papers authored by Jonathan De Siqueira

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan De Siqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan De Siqueira. 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 Jonathan De Siqueira. The network helps show where Jonathan De Siqueira may publish in the future.

Co-authorship network of co-authors of Jonathan De Siqueira

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan De Siqueira. A scholar is included among the top collaborators of Jonathan De Siqueira 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 Jonathan De Siqueira. Jonathan De Siqueira 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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