Joanne M. de Laat

887 total citations
16 papers, 563 citations indexed

About

Joanne M. de Laat is a scholar working on Epidemiology, Neurology and Oncology. According to data from OpenAlex, Joanne M. de Laat has authored 16 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Neurology and 11 papers in Oncology. Recurrent topics in Joanne M. de Laat's work include Neuroendocrine Tumor Research Advances (15 papers), Neuroblastoma Research and Treatments (13 papers) and Lung Cancer Research Studies (11 papers). Joanne M. de Laat is often cited by papers focused on Neuroendocrine Tumor Research Advances (15 papers), Neuroblastoma Research and Treatments (13 papers) and Lung Cancer Research Studies (11 papers). Joanne M. de Laat collaborates with scholars based in Netherlands, United States and Denmark. Joanne M. de Laat's co-authors include Gerlof D. Valk, Carolina R C Pieterman, Menno R. Vriens, Madeleine L. Drent, Peter H. Bisschop, Olaf M. Dekkers, Wouter W. de Herder, Ad R. Hermus, Bas Havekes and Anouk N. van der Horst‐Schrivers and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, BMC Medicine and European Journal of Endocrinology.

In The Last Decade

Joanne M. de Laat

16 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanne M. de Laat Netherlands 11 490 354 346 140 66 16 563
C. Cardot‐Bauters France 5 346 0.7× 285 0.8× 244 0.7× 136 1.0× 105 1.6× 6 466
G Chabrier France 6 333 0.7× 238 0.7× 215 0.6× 148 1.1× 62 0.9× 13 416
Jeffrey A. Norton United States 10 357 0.7× 220 0.6× 266 0.8× 103 0.7× 125 1.9× 10 473
Ali Reza Moattari United States 8 304 0.6× 203 0.6× 202 0.6× 61 0.4× 63 1.0× 8 375
Martin B. Niederle Austria 8 403 0.8× 222 0.6× 331 1.0× 140 1.0× 125 1.9× 26 535
Hélène Du Boullay France 4 181 0.4× 161 0.5× 134 0.4× 86 0.6× 93 1.4× 4 305
Dimitrios Papadogias Greece 8 210 0.4× 162 0.5× 151 0.4× 191 1.4× 149 2.3× 12 446
Crystal Kamilaris United States 7 103 0.2× 81 0.2× 80 0.2× 126 0.9× 133 2.0× 14 323
Max B. Albers Germany 13 346 0.7× 234 0.7× 306 0.9× 38 0.3× 58 0.9× 33 401
Kimberly Kamp Netherlands 12 391 0.8× 301 0.9× 322 0.9× 85 0.6× 51 0.8× 14 449

Countries citing papers authored by Joanne M. de Laat

Since Specialization
Citations

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

Fields of papers citing papers by Joanne M. de Laat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanne M. de Laat. 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 Joanne M. de Laat. The network helps show where Joanne M. de Laat may publish in the future.

Co-authorship network of co-authors of Joanne M. de Laat

This figure shows the co-authorship network connecting the top 25 collaborators of Joanne M. de Laat. A scholar is included among the top collaborators of Joanne M. de Laat 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 Joanne M. de Laat. Joanne M. de Laat 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.
Herwaarden, Antonius E. van, Annenienke C. van de Ven, Benno Küsters, et al.. (2025). Prolactin‐adjusted inferior petrosal sinus sampling: Pituitary and ectopic adrenocorticotropic hormone‐dependent Cushing syndrome. Journal of Neuroendocrinology. 37(9). e70066–e70066. 1 indexed citations
3.
Laat, Joanne M. de, Rachel S. van Leeuwaarde, Annenienke C. van de Ven, et al.. (2020). The Management of Neuroendocrine Tumors of the Lung in MEN1: Results From the Dutch MEN1 Study Group. The Journal of Clinical Endocrinology & Metabolism. 106(2). e1014–e1027. 16 indexed citations
4.
Laat, Joanne M. de, Rachel S. van Leeuwaarde, & Gerlof D. Valk. (2018). The Importance of an Early and Accurate MEN1 Diagnosis. Frontiers in Endocrinology. 9. 533–533. 34 indexed citations
5.
Pieterman, Carolina R C, Joanne M. de Laat, Jos W. R. Twisk, et al.. (2017). Long-Term Natural Course of Small Nonfunctional Pancreatic Neuroendocrine Tumors in MEN1—Results From the Dutch MEN1 Study Group. The Journal of Clinical Endocrinology & Metabolism. 102(10). 3795–3805. 48 indexed citations
6.
Leeuwaarde, Rachel S. van, Joanne M. de Laat, Carolina R C Pieterman, et al.. (2017). The future: medical advances in MEN1 therapeutic approaches and management strategies. Endocrine Related Cancer. 24(10). T179–T193. 14 indexed citations
7.
Nell, Sjoerd, Elfi B. Conemans, Joanne M. de Laat, et al.. (2016). Liver metastases of MEN1 related duodenopancreatic neuro-endocrine tumors; strategies and outcomes. HPB. 18. e61–e61. 1 indexed citations
8.
Laat, Joanne M. de, Rob B. van der Luijt, Carolina R C Pieterman, et al.. (2016). MEN1 redefined, a clinical comparison of mutation-positive and mutation-negative patients. BMC Medicine. 14(1). 182–182. 93 indexed citations
9.
Leeuwaarde, Rachel S. van, Bernadette P. M. van Nesselrooij, Ad R. Hermus, et al.. (2016). Impact of Delay in Diagnosis in Outcomes in MEN1: Results From the Dutch MEN1 Study Group. The Journal of Clinical Endocrinology & Metabolism. 101(3). 1159–1165. 34 indexed citations
10.
Laat, Joanne M. de, Olaf M. Dekkers, Carolina R C Pieterman, et al.. (2015). Long-Term Natural Course of Pituitary Tumors in Patients With MEN1: Results From the DutchMEN1 Study Group (DMSG). The Journal of Clinical Endocrinology & Metabolism. 100(9). 3288–3296. 98 indexed citations
11.
Lodewijk, Lutske, Jakob W. Kist, Elfi B. Conemans, et al.. (2015). Thyroid incidentalomas in patients with multiple endocrine neoplasia type 1. European Journal of Endocrinology. 172(4). 337–342. 8 indexed citations
12.
Nell, Sjoerd, Rachel S. van Leeuwaarde, Carolina R C Pieterman, et al.. (2015). No Association of Blood Type O With Neuroendocrine Tumors in Multiple Endocrine Neoplasia Type 1. The Journal of Clinical Endocrinology & Metabolism. 100(10). 3850–3855. 6 indexed citations
13.
Pieterman, Carolina R C, Elfi B. Conemans, Koen M.A. Dreijerink, et al.. (2014). Thoracic and duodenopancreatic neuroendocrine tumors in multiple endocrine neoplasia type 1: natural history and function of menin in tumorigenesis. Endocrine Related Cancer. 21(3). R121–R142. 59 indexed citations
14.
Laat, Joanne M. de, Carolina R C Pieterman, Jos W. R. Twisk, et al.. (2014). Natural Course and Survival of Neuroendocrine Tumors of Thymus and Lung in MEN1 Patients. The Journal of Clinical Endocrinology & Metabolism. 99(9). 3325–3333. 61 indexed citations
15.
Laat, Joanne M. de, Carolina R C Pieterman, Ad R. Hermus, et al.. (2013). Low Accuracy of Tumor Markers for Diagnosing Pancreatic Neuroendocrine Tumors in Multiple Endocrine Neoplasia Type 1 Patients. The Journal of Clinical Endocrinology & Metabolism. 98(10). 4143–4151. 57 indexed citations
16.
Laat, Joanne M. de, Emma Tham, Carolina R C Pieterman, et al.. (2012). Predicting the risk of multiple endocrine neoplasia type 1 for patients with commonly occurring endocrine tumors. European Journal of Endocrinology. 167(2). 181–187. 32 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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