Ursule Van de Velde

544 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 Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (14 papers) and Diabetes Management and Research (11 papers). Ursule Van de Velde is often cited by papers focused on Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (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, Robert Hilbrands, Christophe De Block, Evy Vandemeulebroucke, A G Ziegler, Lucienne Chatenoud and Melanie Walter 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ursule Van de Velde Belgium 9 334 285 274 92 18 16 398
Alberto Pugliese United States 7 402 1.2× 347 1.2× 300 1.1× 106 1.2× 39 2.2× 11 494
Catherine Guy United Kingdom 7 248 0.7× 189 0.7× 188 0.7× 108 1.2× 15 0.8× 11 325
Joan Martellotto United States 6 117 0.4× 217 0.8× 140 0.5× 33 0.4× 46 2.6× 7 270
Mylinh Dang United States 6 139 0.4× 104 0.4× 81 0.3× 58 0.6× 20 1.1× 8 173
Alexandra Fouts United States 8 240 0.7× 208 0.7× 163 0.6× 38 0.4× 58 3.2× 9 282
Mikael Pihl Sweden 8 467 1.4× 365 1.3× 339 1.2× 169 1.8× 36 2.0× 10 541
Mohamed M. Jahromi United States 8 223 0.7× 160 0.6× 156 0.6× 80 0.9× 30 1.7× 10 303
Yoriko Nishida Japan 7 228 0.7× 173 0.6× 123 0.4× 74 0.8× 38 2.1× 8 297
Shannon Fourtner United States 5 233 0.7× 197 0.7× 228 0.8× 39 0.4× 22 1.2× 6 303
Francesca De Taddeo Italy 6 192 0.6× 272 1.0× 172 0.6× 77 0.8× 44 2.4× 7 367

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

16 of 16 papers shown
1.
Keymeulen, Bart, Ursule Van de Velde, Bruno Lapauw, et al.. (2025). Repeated OGTT Versus Continuous Glucose Monitoring for Predicting Development of Stage 3 Type 1 Diabetes: A Longitudinal Analysis. Diabetes Care. 48(4). 528–536. 5 indexed citations
2.
Keymeulen, Bart, Ursule Van de Velde, Pieter De Pauw, et al.. (2023). Baseline plasma proinsulin response to glucose for predicting therapeutic response to otelixizumab in recent-onset type 1 diabetes. Diabetes Research and Clinical Practice. 205. 110974–110974. 1 indexed citations
3.
Hilbrands, Robert, Ursule Van de Velde, Geert Stangé, et al.. (2021). Function and composition of pancreatic islet cell implants in omentum of type 1 diabetes patients. American Journal of Transplantation. 22(3). 927–936. 9 indexed citations
4.
Keymeulen, Bart, André van Maurik, David R. Inman, et al.. (2020). A randomised, single-blind, placebo-controlled, dose-finding safety and tolerability study of the anti-CD3 monoclonal antibody otelixizumab in new-onset type 1 diabetes. Diabetologia. 64(2). 313–324. 38 indexed citations
5.
Gillard, Pieter, Robert Hilbrands, Zhidong Ling, et al.. (2020). Use of Culture to Reach Metabolically Adequate Beta-cell Dose by Combining Donor Islet Cell Isolates for Transplantation in Type 1 Diabetes Patients. Transplantation. 104(10). e295–e302. 1 indexed citations
6.
Pen, Joeri J., et al.. (2017). Zùsto: A new sweetening agent with low glycemic index. Clinical Nutrition ESPEN. 23. 103–106. 2 indexed citations
7.
Stuart, A. A. Verrijn, Jenny Meerding, Ursule Van de Velde, et al.. (2016). Serum Cytokines as Biomarkers in Islet Cell Transplantation for Type 1 Diabetes. PLoS ONE. 11(1). e0146649–e0146649. 13 indexed citations
8.
Keymeulen, Bart, Robert Hilbrands, Zhidong Ling, et al.. (2016). Age and Early Graft Function Relate With Risk-Benefit Ratio of Allogenic Islet Transplantation Under Antithymocyte Globulin-Mycophenolate Mofetil-Tacrolimus Immune Suppression. Transplantation. 101(9). 2218–2227. 1 indexed citations
9.
Auwera, Bart Van Der, Pieter Gillard, Robert Hilbrands, et al.. (2016). HLA-A*24Carrier Status and Autoantibody Surges Posttransplantation Associate With Poor Functional Outcome in Recipients of an Islet Allograft. Diabetes Care. 39(6). 1060–1064. 10 indexed citations
10.
Keymeulen, Bart, Leonard Kaufman, Eric V. Balti, et al.. (2015). Preexisting Insulin Autoantibodies Predict Efficacy of Otelixizumab in Preserving Residual β-Cell Function in Recent-Onset Type 1 Diabetes. Diabetes Care. 38(4). 644–651. 18 indexed citations
11.
Balti, Eric V., Katelijn Decochez, Ilse Weets, et al.. (2015). Relationship between glycaemic variability and hyperglycaemic clamp-derived functional variables in (impending) type 1 diabetes. Diabetologia. 58(12). 2753–2764. 16 indexed citations
12.
Keymeulen, Bart, Leonard Kaufman, Eric V. Balti, et al.. (2014). Pre-existing insulin autoantibodies predict efficacy of otelixizumab in preserving residual beta cell function in recent-onset type 1 diabetes. Diabetologia. 57. 1–452. 4 indexed citations
13.
Balti, Eric V., Evy Vandemeulebroucke, Ilse Weets, et al.. (2014). Hyperglycemic Clamp and Oral Glucose Tolerance Test for 3-Year Prediction of Clinical Onset in Persistently Autoantibody-Positive Offspring and Siblings of Type 1 Diabetic Patients. The Journal of Clinical Endocrinology & Metabolism. 100(2). 551–560. 8 indexed citations
14.
Gillard, Pieter, Robert Hilbrands, Ursule Van de Velde, et al.. (2013). Minimal Functional β-Cell Mass in Intraportal Implants That Reduces Glycemic Variability in Type 1 Diabetic Recipients. Diabetes Care. 36(11). 3483–3488. 19 indexed citations
15.
Keymeulen, Bart, Melanie Walter, Chantal Mathieu, et al.. (2010). Four-year metabolic outcome of a randomised controlled CD3-antibody trial in recent-onset type 1 diabetic patients depends on their age and baseline residual beta cell mass. Diabetologia. 53(4). 614–623. 233 indexed citations
16.
Vandemeulebroucke, Evy, Bart Keymeulen, Katelijn Decochez, et al.. (2009). Hyperglycaemic clamp test for diabetes risk assessment in IA-2-antibody-positive relatives of type 1 diabetic patients. Diabetologia. 53(1). 36–44. 20 indexed citations

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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