Jelle J. Goeman

16.3k total citations · 6 hit papers
180 papers, 9.8k citations indexed

About

Jelle J. Goeman is a scholar working on Molecular Biology, Statistics and Probability and Epidemiology. According to data from OpenAlex, Jelle J. Goeman has authored 180 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 44 papers in Statistics and Probability and 22 papers in Epidemiology. Recurrent topics in Jelle J. Goeman's work include Statistical Methods in Clinical Trials (29 papers), Gene expression and cancer classification (29 papers) and Statistical Methods and Inference (20 papers). Jelle J. Goeman is often cited by papers focused on Statistical Methods in Clinical Trials (29 papers), Gene expression and cancer classification (29 papers) and Statistical Methods and Inference (20 papers). Jelle J. Goeman collaborates with scholars based in Netherlands, Belgium and Italy. Jelle J. Goeman's co-authors include John P. A. Ioannidis, Joanna IntHout, Maroeska M. Rovers, Hans C. van Houwelingen, Peter Bühlmann, Sara A. van de Geer, Aldo Solari, Peter Piot, Frieda Behets and Michel Alary and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jelle J. Goeman

169 papers receiving 9.6k citations

Hit Papers

Plea for routinely presen... 1993 2026 2004 2015 2016 1993 2003 2009 2007 400 800 1.2k
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. Plea for routinely presenting prediction intervals in meta-analysis
    2016 1.4k citations Jelle J. Goeman et al. profile →
  2. Non-ulcerative sexually transmitted diseases as risk factors for HIV-1 transmission in women
    1993 925 citations Jelle J. Goeman, Michel Alary et al. AIDS profile →
  3. A global test for groups of genes: testing association with a clinical outcome
    2003 794 citations Jelle J. Goeman, Hans C. van Houwelingen et al. profile →
  4. L1Penalized Estimation in the Cox Proportional Hazards Model
    2009 628 citations Jelle J. Goeman Biometrical Journal profile →
  5. Analyzing gene expression data in terms of gene sets: methodological issues
    2007 562 citations Jelle J. Goeman et al. profile →
  6. DNA methylation signatures link prenatal famine exposure to growth and metabolism
    2014 392 citations Elmar W. Tobi, Jelle J. Goeman et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jelle J. Goeman Netherlands 43 3.5k 1.3k 1.0k 975 931 180 9.8k
Charles R. Newton United Kingdom 79 2.9k 0.8× 2.1k 1.6× 2.6k 2.5× 583 0.6× 1.2k 1.3× 524 24.3k
Gary Cutter United States 96 2.2k 0.6× 3.2k 2.4× 726 0.7× 267 0.3× 1.1k 1.2× 770 35.1k
Scott M. Williams United States 58 4.2k 1.2× 1.9k 1.4× 533 0.5× 288 0.3× 3.9k 4.2× 339 13.3k
Ji‐Hyun Lee South Korea 62 4.3k 1.2× 2.9k 2.2× 522 0.5× 187 0.2× 1.3k 1.4× 648 17.1k
Heping Zhang United States 70 3.8k 1.1× 1.5k 1.1× 601 0.6× 130 0.1× 2.1k 2.3× 497 17.7k
Robert L. Davis United States 76 11.7k 3.3× 4.7k 3.5× 1.7k 1.7× 586 0.6× 2.2k 2.4× 303 26.2k
Nicky J. Welton United Kingdom 62 925 0.3× 3.0k 2.3× 592 0.6× 441 0.5× 446 0.5× 268 19.5k
Ross Lazarus United States 61 2.2k 0.6× 1.6k 1.2× 330 0.3× 170 0.2× 1.1k 1.2× 147 13.0k
Frédérique Lisacek Switzerland 38 5.8k 1.6× 1.4k 1.0× 449 0.4× 175 0.2× 873 0.9× 142 13.4k
Mads Melbye Denmark 84 2.7k 0.8× 6.9k 5.2× 2.2k 2.1× 601 0.6× 1.6k 1.7× 535 24.1k

Countries citing papers authored by Jelle J. Goeman

Since Specialization
Citations

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

Fields of papers citing papers by Jelle J. Goeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jelle J. Goeman. 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 Jelle J. Goeman. The network helps show where Jelle J. Goeman may publish in the future.

Co-authorship network of co-authors of Jelle J. Goeman

This figure shows the co-authorship network connecting the top 25 collaborators of Jelle J. Goeman. A scholar is included among the top collaborators of Jelle J. Goeman 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 Jelle J. Goeman. Jelle J. Goeman 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
1.
Quint, Koen D., Maarten H. Vermeer, Jelle J. Goeman, et al.. (2025). Prognosis of increasing percentages of lesional body surface area in early stage mycosis fungoides. Journal of the European Academy of Dermatology and Venereology. 40(1). 116–121. 1 indexed citations
2.
Goeman, Jelle J., et al.. (2025). Inference in Generalized Linear Models with Robustness to Misspecified Variances. Journal of the American Statistical Association. 120(552). 2762–2771.
3.
Kluivers, Kirsten B., Alejandra M. Ruiz‐Zapata, Rufus Cartwright, et al.. (2023). Molecular Landscape of Pelvic Organ Prolapse Provides Insights into Disease Etiology. International Journal of Molecular Sciences. 24(7). 6087–6087. 5 indexed citations
4.
Kruyt, Nyika D., Jelle J. Goeman, Aad van der Lugt, et al.. (2022). The prognostic value of extracranial vascular characteristics on procedural duration and revascularization success in endovascularly treated acute ischemic stroke patients. European Stroke Journal. 7(1). 48–56. 8 indexed citations
5.
Zwet, Erik W. van, et al.. (2020). Adaptive critical value for constrained likelihood ratio testing. Data Archiving and Networked Services (DANS). 3 indexed citations
6.
Kester, Marloes S. van, Jelle J. Goeman, & Roel E. Genders. (2019). Tissue-sparing properties of Mohs micrographic surgery for infiltrative basal cell carcinoma. Journal of the American Academy of Dermatology. 80(6). 1700–1703. 15 indexed citations
7.
Dizier, Benjamin, Andrea Callegaro, Muriel Debois, et al.. (2019). A Th1/IFNγ Gene Signature Is Prognostic in the Adjuvant Setting of Resectable High-Risk Melanoma but Not in Non–Small Cell Lung Cancer. Clinical Cancer Research. 26(7). 1725–1735. 13 indexed citations
8.
Spitali, Pietro, Kristina Hettne, Roula Tsonaka, et al.. (2018). Cross‐sectional serum metabolomic study of multiple forms of muscular dystrophy. Journal of Cellular and Molecular Medicine. 22(4). 2442–2448. 27 indexed citations
9.
Bulk, Marjolein, Boyd Kenkhuis, Linda M. van der Graaf, et al.. (2018). Postmortem T 2 * - Weighted MRI Imaging of Cortical Iron Reflects Severity of Alzheimer’s Disease. Journal of Alzheimer s Disease. 65(4). 1125–1137. 46 indexed citations
10.
Rovito, Roberta, Hans-Jörg Warnatz, Szymon M. Kiełbasa, et al.. (2018). Impact of congenital cytomegalovirus infection on transcriptomes from archived dried blood spots in relation to long-term clinical outcome. PLoS ONE. 13(7). e0200652–e0200652. 6 indexed citations
11.
Timmerman, Hans, Monique A. H. Steegers, Frank Huygen, et al.. (2017). Investigating the validity of the DN4 in a consecutive population of patients with chronic pain. PLoS ONE. 12(11). e0187961–e0187961. 48 indexed citations
12.
Goeman, Jelle J., et al.. (2014). A multiple testing method for hypotheses structured in a directed acyclic graph. Biometrical Journal. 57(1). 123–143. 13 indexed citations
13.
Bökenkamp, Regina, Ronald De Hoogt, Livio Finos, et al.. (2014). Dlx1 and Rgs5 in the Ductus Arteriosus: Vessel-Specific Genes Identified by Transcriptional Profiling of Laser-Capture Microdissected Endothelial and Smooth Muscle Cells. PLoS ONE. 9(1). e86892–e86892. 14 indexed citations
14.
Goeman, Jelle J., et al.. (2014). A region-based multiple testing method for hypotheses ordered in space or time. Statistical Applications in Genetics and Molecular Biology. 14(1). 1–19. 4 indexed citations
15.
Goossens-Beumer, Inès J., Remco Derr, Henk P.J. Buermans, et al.. (2014). MicroRNA Classifier and Nomogram for Metastasis Prediction in Colon Cancer. Cancer Epidemiology Biomarkers & Prevention. 24(1). 187–197. 26 indexed citations
16.
Tobi, Elmar W., Jelle J. Goeman, Ramin Monajemi, et al.. (2014). DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nature Communications. 5(1). 5592–5592. 392 indexed citations breakdown →
17.
Smit, Marjon A., Joost J. van den Oord, Jelle J. Goeman, et al.. (2013). Genome‐wide promoter methylation analysis identifies epigenetic silencing of MAPK13 in primary cutaneous melanoma. Pigment Cell & Melanoma Research. 26(4). 542–554. 49 indexed citations
18.
O’Leary, Thomas, Björn Heindryckx, Sylvie Lierman, et al.. (2012). Tracking the progression of the human inner cell mass during embryonic stem cell derivation. Nature Biotechnology. 30(3). 278–282. 97 indexed citations
19.
Goeman, Jelle J.. (2008). Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra. Statistical Applications in Genetics and Molecular Biology. 7(2). Article10–Article10. 8 indexed citations
20.
Vandenbruaene, M, Robert Colebunders, Jelle J. Goeman, et al.. (1993). Evaluation of two staging systems for HIV infection for use in developing countries. AIDS. 7(12). 1613–1615. 5 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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