Ursule Van de Velde

22 total papers · 537 total citations
16 papers, 398 citations indexed

About

Ursule Van de Velde is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ursule Van de Velde has authored 16 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Genetics and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ursule Van de Velde's work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (14 papers) and Diabetes Management and Research (11 papers). Ursule Van de Velde is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (14 papers) and Diabetes Management and Research (11 papers). Ursule Van de Velde collaborates with scholars based in Belgium, Netherlands and United Kingdom. Ursule Van de Velde's co-authors include Bart Keymeulen, Frans Gorus, Daniël Pipeleers, Chantal Mathieu, Christophe De Block, Robert Hilbrands, Evy Vandemeulebroucke, Sophie Candon, Melanie Walter and Herman Waldmann and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Ursule Van de Velde

16 papers receiving 381 citations

Author Peers

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

Author						Papers	Cites
Ursule Van de Velde	332	285	274	92	18	16	398
Taylor M. Triolo	297 0.9×	214 0.8×	299 1.1×	46 0.5×	49 2.7×	23	443
Hiroko Fujino-Kurihara	323 1.0×	236 0.8×	178 0.6×	158 1.7×	35 1.9×	11	423
Richard Dolinar	197 0.6×	188 0.7×	213 0.8×	81 0.9×	17 0.9×	14	338
C. B. SANJEEVI	292 0.9×	216 0.8×	199 0.7×	148 1.6×	47 2.6×	17	424
Tomoyuki Akashi	261 0.8×	275 1.0×	175 0.6×	118 1.3×	118 6.6×	18	446
Anna Zaremba	242 0.7×	198 0.7×	122 0.4×	163 1.8×	39 2.2×	11	413
E. A. Johnson	297 0.9×	144 0.5×	82 0.3×	231 2.5×	35 1.9×	13	388
Maria Luisa Arpi	298 0.9×	247 0.9×	301 1.1×	29 0.3×	68 3.8×	18	436
Kan Nakamura	255 0.8×	218 0.8×	183 0.7×	92 1.0×	28 1.6×	13	388
Laura Scarth	177 0.5×	112 0.4×	204 0.7×	64 0.7×	35 1.9×	10	389

Countries citing papers authored by Ursule Van de Velde

Since Specialization

Citations

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

Fields of papers citing papers by Ursule Van de Velde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursule Van de Velde. 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 Ursule Van de Velde. The network helps show where Ursule Van de Velde may publish in the future.

Co-authorship network of co-authors of Ursule Van de Velde

This figure shows the co-authorship network connecting the top 25 collaborators of Ursule Van de Velde. A scholar is included among the top collaborators of Ursule Van de Velde 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 Ursule Van de Velde. Ursule Van de Velde 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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