Luc Bouwens

13.5k total citations · 1 hit paper
163 papers, 9.8k citations indexed

About

Luc Bouwens is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Luc Bouwens has authored 163 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Surgery, 49 papers in Genetics and 45 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Luc Bouwens's work include Pancreatic function and diabetes (98 papers), Diabetes and associated disorders (43 papers) and Diabetes Management and Research (32 papers). Luc Bouwens is often cited by papers focused on Pancreatic function and diabetes (98 papers), Diabetes and associated disorders (43 papers) and Diabetes Management and Research (32 papers). Luc Bouwens collaborates with scholars based in Belgium, United States and Netherlands. Luc Bouwens's co-authors include Ilse Rooman, Daniël Pipeleers, Jessy Lardon, Harry Heimberg, Eddie Wisse, Josué Kunjom Mfopou, Marijke Baekeland, G. Kl�ppel, G. Kl�ppel and Isabelle Houbracken and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Luc Bouwens

158 papers receiving 9.5k citations

Hit Papers

β Cells Can Be Generated from Endogenous Progenitors in I... 2008 2026 2014 2020 2008 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. β Cells Can Be Generated from Endogenous Progenitors in Injured Adult Mouse Pancreas
    2008 752 citations Stefan Bonné, Luc Bouwens et al. profile →

Peers

Luc Bouwens
Gregory S. Korbutt Canada
Roland Stein United States
Bernhard J. Hering United States
Takuya Moriya Japan
Rebecca Taub United States
Ellen Van Obberghen‐Schilling France
Ryohei Katoh Japan
Robert J. Matusik United States
Annik Prat Canada
Christine Perret France
Gregory S. Korbutt Canada
Luc Bouwens
Citations per year, relative to Luc Bouwens Luc Bouwens (= 1×) peers Gregory S. Korbutt

Countries citing papers authored by Luc Bouwens

Since Specialization
Citations

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

Fields of papers citing papers by Luc Bouwens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Bouwens

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Bouwens. A scholar is included among the top collaborators of Luc Bouwens 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 Luc Bouwens. Luc Bouwens 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
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Assi, Mohamad, Younès Achouri, Axelle Loriot, et al.. (2021). Dynamic Regulation of Expression of KRAS and Its Effectors Determines the Ability to Initiate Tumorigenesis in Pancreatic Acinar Cells. Cancer Research. 81(10). 2679–2689. 12 indexed citations
3.
Heremans, Yves, Mineo Kurokawa, Susumu Goyama, et al.. (2021). MECOM permits pancreatic acinar cell dedifferentiation avoiding cell death under stress conditions. Cell Death and Differentiation. 28(9). 2601–2615. 23 indexed citations
4.
Balhuizen, Alexander, Sam Massa, Jean‐Valéry Turatsinze, et al.. (2017). A nanobody-based tracer targeting DPP6 for non-invasive imaging of human pancreatic endocrine cells. Scientific Reports. 7(1). 15130–15130. 40 indexed citations
5.
Zheng, Fang, Stéphanie Put, Luc Bouwens, et al.. (2014). Molecular Imaging with Macrophage CRIg-Targeting Nanobodies for Early and Preclinical Diagnosis in a Mouse Model of Rheumatoid Arthritis. Journal of Nuclear Medicine. 55(5). 824–829. 50 indexed citations
6.
Lobo, Víctor J. Sánchez‐Arévalo, Andreia V. Pinho, Amanda Mawson, et al.. (2013). Sirtuin-1 Regulates Acinar-to-Ductal Metaplasia and Supports Cancer Cell Viability in Pancreatic Cancer. Cancer Research. 73(7). 2357–2367. 61 indexed citations
7.
Movahedi, Kiavash, Steve Schoonooghe, Damya Laoui, et al.. (2012). Nanobody-Based Targeting of the Macrophage Mannose Receptor for Effective In Vivo Imaging of Tumor-Associated Macrophages. Cancer Research. 72(16). 4165–4177. 244 indexed citations
8.
Eizirik, Décio L., Michael Sammeth, Thomas Bouckenooghe, et al.. (2012). The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines. PLoS Genetics. 8(3). e1002552–e1002552. 358 indexed citations
9.
Houbracken, Isabelle, et al.. (2012). Lineage Tracing of Pancreatic Stem Cells and Beta Cell Regeneration. Methods in molecular biology. 933. 303–315. 3 indexed citations
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Flamez, Daisy, I. Roland, Alix Berton, et al.. (2010). A genomic-based approach identifies FXYD domain containing ion transport regulator 2 (FXYD2)γa as a pancreatic beta cell-specific biomarker. Diabetologia. 53(7). 1372–1383. 33 indexed citations
12.
Baeyens, Luc, Stefan Bonné, Michael S. German, et al.. (2006). Ngn3 expression during postnatal in vitro beta cell neogenesis induced by the JAK/STAT pathway. Cell Death and Differentiation. 13(11). 1892–1899. 65 indexed citations
13.
Lardon, Jessy, et al.. (2004). Exocrine cell transdifferentiation in dexamethasone-treated rat pancreas. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 444(1). 61–65. 80 indexed citations
14.
Bouwens, Luc. (2004). Islet morphogenesis and stem cell markers. Cell Biochemistry and Biophysics. 40(S3). 81–88. 23 indexed citations
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D’Asseler, Yves, Stefaan Vandenberghe, Michel Koole, et al.. (2001). A method for the calculation of the geometric sensitivity for stationary 3D PET using a triple-headed gamma camera. European Journal of Nuclear Medicine and Molecular Imaging. 28(8). 1007–1007. 1 indexed citations
17.
Bouwens, Luc, Rik Van de Walle, Johan Nuyts, et al.. (2001). Image-correction techniques in SPECT. Computerized Medical Imaging and Graphics. 25(2). 117–126. 14 indexed citations
18.
Bouwens, Luc, et al.. (1997). Proliferation and differentiation in the human fetal endocrine pancreas. Diabetologia. 40(4). 398–404. 146 indexed citations
19.
Bouwens, Luc, et al.. (1994). Beta-cell proliferation in normal and streptozotocin-treated newborn rats: site, dynamics and capacity. Diabetologia. 37(11). 1088–1096. 132 indexed citations
20.
Vanderkerken, Karin, Luc Bouwens, & Eddie Wisse. (1990). Characterization of A Phenotypically and Functionally Distinct Subset of Large Granular Lymphocytes (Pit Cells) in Rat Liver Sinusoids. Hepatology. 12(1). 70–75. 49 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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