Nico De Leu

1.7k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Nico De Leu is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nico De Leu has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 20 papers in Genetics and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nico De Leu's work include Pancreatic function and diabetes (27 papers), Diabetes and associated disorders (17 papers) and Diabetes Management and Research (12 papers). Nico De Leu is often cited by papers focused on Pancreatic function and diabetes (27 papers), Diabetes and associated disorders (17 papers) and Diabetes Management and Research (12 papers). Nico De Leu collaborates with scholars based in Belgium, France and United States. Nico De Leu's co-authors include Harry Heimberg, Mark Van de Casteele, Geert Stangé, Gérard Gradwohl, Daniël Pipeleers, Luc Bouwens, Xiaobo Xu, Xiangwei Xiao, Georg Mellitzer and Raphaël Scharfmann and has published in prestigious journals such as Cell, Physiological Reviews and PLoS ONE.

In The Last Decade

Nico De Leu

28 papers receiving 1.3k citations

Hit Papers

β Cells Can Be Generated ... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nico De Leu Belgium 16 1.1k 665 546 450 76 29 1.3k
Göran Mattsson Sweden 15 821 0.7× 376 0.6× 413 0.8× 284 0.6× 229 3.0× 25 938
Shane Fischbach United States 12 453 0.4× 302 0.5× 210 0.4× 312 0.7× 31 0.4× 19 799
Elisa Cantarelli Italy 15 628 0.6× 377 0.6× 294 0.5× 187 0.4× 157 2.1× 19 946
Fang‐Xu Jiang Australia 17 540 0.5× 287 0.4× 189 0.3× 374 0.8× 31 0.4× 39 815
Kristie Aamodt United States 9 406 0.4× 233 0.4× 174 0.3× 218 0.5× 40 0.5× 13 625
Bente B. Johansson Norway 15 576 0.5× 453 0.7× 225 0.4× 362 0.8× 11 0.1× 33 856
Mansa Krishnamurthy Canada 15 500 0.5× 259 0.4× 167 0.3× 391 0.9× 25 0.3× 22 911
Iljana Gaffar United States 7 340 0.3× 221 0.3× 146 0.3× 233 0.5× 22 0.3× 7 581
Tiffany Tseng United States 6 302 0.3× 186 0.3× 137 0.3× 319 0.7× 22 0.3× 8 659
Alethia Villasenor United States 12 367 0.3× 207 0.3× 116 0.2× 358 0.8× 12 0.2× 14 637

Countries citing papers authored by Nico De Leu

Since Specialization
Citations

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

Fields of papers citing papers by Nico De Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nico De Leu

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

All Works

20 of 20 papers shown
2.
Staels, Willem, et al.. (2024). Comprehensive alpha, beta, and delta cell transcriptomics reveal an association of cellular aging with MHC class I upregulation. Molecular Metabolism. 87. 101990–101990. 3 indexed citations
3.
Heremans, Yves, et al.. (2024). Harnessing beta cell regeneration biology for diabetes therapy. Trends in Endocrinology and Metabolism. 35(11). 951–966. 9 indexed citations
4.
Sawatani, Toshiaki, Nico De Leu, Yves Heremans, et al.. (2021). Towards a Functional Cure for Diabetes Using Stem Cell-Derived Beta Cells: Are We There Yet?. Cells. 10(1). 191–191. 42 indexed citations
5.
Staels, Willem, et al.. (2020). Insulitis and lymphoid structures in the islets of Langerhans of a 66-year-old patient with long-standing type 1 diabetes. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(6). 1209–1214. 6 indexed citations
6.
Staels, Willem, Yves Heremans, Harry Heimberg, & Nico De Leu. (2019). VEGF-A and blood vessels: a beta cell perspective. Diabetologia. 62(11). 1961–1968. 53 indexed citations
7.
Staels, Willem, Yves Heremans, Gunter Leuckx, et al.. (2018). Vegf-A mRNA transfection as a novel approach to improve mouse and human islet graft revascularisation. Diabetologia. 61(8). 1804–1810. 21 indexed citations
8.
Baeyens, Luc, Willem Staels, Sofie De Groef, et al.. (2018). (Re)generating Human Beta Cells: Status, Pitfalls, and Perspectives. Physiological Reviews. 98(3). 1143–1167. 36 indexed citations
9.
Coppens, Violette, Gunter Leuckx, Yves Heremans, et al.. (2018). Semi-automated digital measurement as the method of choice for beta cell mass analysis. PLoS ONE. 13(2). e0191249–e0191249. 2 indexed citations
10.
Staels, Willem, Yves Heremans, Gunter Leuckx, et al.. (2017). Conditional islet hypovascularisation does not preclude beta cell expansion during pregnancy in mice. Diabetologia. 60(6). 1051–1056. 9 indexed citations
11.
Groef, Sofie De, Dries Renmans, Ying Cai, et al.. (2016). STAT3 modulates β-cell cycling in injured mouse pancreas and protects against DNA damage. Cell Death and Disease. 7(6). e2272–e2272. 19 indexed citations
12.
Groef, Sofie De, Willem Staels, Naomi Van Gassen, et al.. (2016). Sources of beta cells inside the pancreas. Diabetologia. 59(9). 1834–1837. 1 indexed citations
13.
Hajizadeh‐Saffar, Ensiyeh, Yaser Tahamtani, Nasser Aghdami, et al.. (2015). Inducible VEGF Expression by Human Embryonic Stem Cell-Derived Mesenchymal Stromal Cells Reduces the Minimal Islet Mass Required to Reverse Diabetes. Scientific Reports. 5(1). 9322–9322. 44 indexed citations
14.
Groef, Sofie De, Gunter Leuckx, Naomi Van Gassen, et al.. (2015). Surgical Injury to the Mouse Pancreas through Ligation of the Pancreatic Duct as a Model for Endocrine and Exocrine Reprogramming and Proliferation. Journal of Visualized Experiments. e52765–e52765. 15 indexed citations
15.
Staels, Willem, Sofie De Groef, Yves Heremans, et al.. (2015). Accessory cells for β‐cell transplantation. Diabetes Obesity and Metabolism. 18(2). 115–124. 19 indexed citations
17.
Rosseel, Liesbeth, Nico De Leu, Wim Van Hecke, & David Unuane. (2012). A rare case of hypoglycemia in a patient with elevated right hemidiaphragm. BMJ Case Reports. 2012. bcr0320125972–bcr0320125972. 9 indexed citations
18.
Coppens, Violette, Yves Heremans, Daniel Jacobs‐Tulleneers‐Thevissen, et al.. (2012). Human blood outgrowth endothelial cells improve islet survival and function when co-transplanted in a mouse model of diabetes. Diabetologia. 56(2). 382–390. 32 indexed citations
19.
Leu, Nico De, David Unuane, Kris Poppe, & B. Velkeniers. (2012). Seizures and postictal stupor in a patient with uncontrolled Graves’ hyperthyroidism. BMJ Case Reports. 2012. bcr0220125929–bcr0220125929. 4 indexed citations
20.
Xu, Xiaobo, Geert Stangé, Stefan Bonné, et al.. (2008). β Cells Can Be Generated from Endogenous Progenitors in Injured Adult Mouse Pancreas. Cell. 132(2). 197–207. 752 indexed citations breakdown →

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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