Jeffrey M. Beekman

11.1k total citations · 4 hit papers
114 papers, 6.0k citations indexed

About

Jeffrey M. Beekman is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Jeffrey M. Beekman has authored 114 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Pulmonary and Respiratory Medicine, 28 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Jeffrey M. Beekman's work include Cystic Fibrosis Research Advances (71 papers), Neonatal Respiratory Health Research (49 papers) and Inhalation and Respiratory Drug Delivery (20 papers). Jeffrey M. Beekman is often cited by papers focused on Cystic Fibrosis Research Advances (71 papers), Neonatal Respiratory Health Research (49 papers) and Inhalation and Respiratory Drug Delivery (20 papers). Jeffrey M. Beekman collaborates with scholars based in Netherlands, United States and Portugal. Jeffrey M. Beekman's co-authors include Cornelis K. van der Ent, Johanna F. Dekkers, Hans Clevers, Edward E. S. Nieuwenhuis, Paul J. Coffer, Annelotte M. Vonk, Hettie M. Janssens, Karin M. de Winter‐de Groot, Hugo R. de Jonge and Turan Demircan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jeffrey M. Beekman

113 papers receiving 5.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patients

2013 1.0k citations Johanna F. Dekkers, Cornelis K. van der Ent et al. profile →
A functional CFTR assay using primary cystic fibrosis intestinal organoids

2013 734 citations Johanna F. Dekkers, Hugo R. de Jonge et al. profile →
Characterizing responses to CFTR-modulating drugs using rectal organoids derived from subjects with cystic fibrosis

2016 401 citations Johanna F. Dekkers, Gitte Berkers et al. profile →
High-resolution 3D imaging of fixed and cleared organoids

2019 360 citations Johanna F. Dekkers, Annelotte M. Vonk et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey M. Beekman Netherlands	34	2.6k	2.2k	1.0k	930	761	114	6.0k
Johanna F. Dekkers Netherlands	25	2.1k 0.8×	1.5k 0.7×	1.2k 1.2×	983 1.1×	667 0.9×	40	4.5k
Christopher N. Mayhew United States	28	3.1k 1.2×	599 0.3×	1.7k 1.6×	1.4k 1.5×	637 0.8×	60	5.1k
Qiang Ding China	42	3.0k 1.2×	1.5k 0.7×	816 0.8×	202 0.2×	260 0.3×	196	7.0k
Nobuo Sasaki Japan	26	3.4k 1.3×	447 0.2×	1.8k 1.8×	869 0.9×	943 1.2×	59	5.9k
Xiaojun Ma China	41	2.7k 1.0×	511 0.2×	1.8k 1.7×	463 0.5×	435 0.6×	167	6.6k
Eugenie S. Kleinerman United States	51	3.2k 1.2×	2.4k 1.1×	2.8k 2.7×	331 0.4×	809 1.1×	212	7.9k
Ravid Straussman Israel	20	3.7k 1.4×	511 0.2×	1.8k 1.8×	312 0.3×	358 0.5×	28	5.3k
Lianbo Yu United States	37	4.1k 1.6×	917 0.4×	1.7k 1.6×	215 0.2×	283 0.4×	155	7.6k
Stephanie K. Dougan United States	42	2.7k 1.0×	415 0.2×	2.4k 2.3×	561 0.6×	555 0.7×	91	6.5k

Countries citing papers authored by Jeffrey M. Beekman

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey M. Beekman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey M. Beekman. 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 Jeffrey M. Beekman. The network helps show where Jeffrey M. Beekman may publish in the future.

Co-authorship network of co-authors of Jeffrey M. Beekman

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

All Works

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20 of 20 papers shown

Pleguezuelos‐Manzano, Cayetano, Gijs J. F. van Son, Harry Begthel, et al.. (2025). Dual RNA sequencing of a co-culture model of Pseudomonas aeruginosa and human 2D upper airway organoids. Scientific Reports. 15(1). 2222–2222. 6 indexed citations

Bonadies, Luca, et al.. (2025). Lung organoids: a new frontier in neonatology and paediatric respiratory medicine. European Respiratory Review. 34(177). 240255–240255.

Porter, Joseph J., Sacha Spelier, K. Coote, et al.. (2025). ACE-tRNAs are a platform technology for suppressing nonsense mutations that cause cystic fibrosis. Nucleic Acids Research. 53(13). 5 indexed citations

Lütolf, Matthias P., Milica Radisic, Jeffrey M. Beekman, et al.. (2024). In vitro human cell-based models: What can they do and what are their limitations?. Cell. 187(17). 4439–4443. 5 indexed citations

Smith, Matthew B., et al.. (2024). OrgaSegment: deep-learning based organoid segmentation to quantify CFTR dependent fluid secretion. Communications Biology. 7(1). 319–319. 15 indexed citations

Ip, Wan, Claire Bartlett, Julie Avolio, et al.. (2023). Validating organoid-derived human intestinal monolayers for personalized therapy in cystic fibrosis. Life Science Alliance. 6(6). e202201857–e202201857. 8 indexed citations

Spelier, Sacha, et al.. (2023). Readthrough compounds for nonsense mutations: bridging the translational gap. Trends in Molecular Medicine. 29(4). 297–314. 38 indexed citations

Janssens, Hettie M., et al.. (2023). CFTR Function Restoration upon Elexacaftor/Tezacaftor/Ivacaftor Treatment in Patient-Derived Intestinal Organoids with Rare CFTR Genotypes. International Journal of Molecular Sciences. 24(19). 14539–14539. 22 indexed citations

Spelier, Sacha, et al.. (2023). 239 Organoid-guided synergistic treatment of minimal function CFTR mutations with CFTR modulators, roflumilast and simvastatin: A personalized approach. Journal of Cystic Fibrosis. 22. S121–S122. 1 indexed citations

10.

Pinto, Madalena C., Sam F.B. van Beuningen, Cornelis K. van der Ent, et al.. (2022). Drug Repurposing for Cystic Fibrosis: Identification of Drugs That Induce CFTR-Independent Fluid Secretion in Nasal Organoids. International Journal of Molecular Sciences. 23(20). 12657–12657. 7 indexed citations

11.

Schene, Imre F., Indi P. Joore, Remi Stevelink, et al.. (2022). Mutation-specific reporter for optimization and enrichment of prime editing. Nature Communications. 13(1). 1028–1028. 24 indexed citations

12.

Berkers, Gitte, Renske van der Meer, Annelotte M. Vonk, et al.. (2019). Forskolin-induced swelling of intestinal organoids correlates with disease severity in adults with cystic fibrosis and homozygous F508del mutations. Journal of Cystic Fibrosis. 19(4). 614–619. 38 indexed citations

13.

Dekkers, Johanna F., Peter van Mourik, Annelotte M. Vonk, et al.. (2016). Potentiator synergy in rectal organoids carrying S1251N, G551D, or F508del CFTR mutations. Journal of Cystic Fibrosis. 15(5). 568–578. 33 indexed citations

14.

Carlon, Marianne, Johanna F. Dekkers, Monika I. Hollenhorst, et al.. (2015). rAAV-CFTRΔR Rescues the Cystic Fibrosis Phenotype in Human Intestinal Organoids and Cystic Fibrosis Mice. American Journal of Respiratory and Critical Care Medicine. 193(3). 288–298. 57 indexed citations

15.

Terheggen-Lagro, Suzanne W. J., et al.. (2013). Apical CFTR Expression in Human Nasal Epithelium Correlates with Lung Disease in Cystic Fibrosis. PLoS ONE. 8(3). e57617–e57617. 15 indexed citations

16.

Rooijakkers, Suzan H. M., et al.. (2013). Optimal Complement-Mediated Phagocytosis of Pseudomonas aeruginosa by Monocytes Is Cystic Fibrosis Transmembrane Conductance Regulator–Dependent. American Journal of Respiratory Cell and Molecular Biology. 49(3). 463–470. 58 indexed citations

17.

Beekman, Jeffrey M., Cees E. van der Poel, Debbie L. C. van den Berg, et al.. (2008). Filamin A Stabilizes FcγRI Surface Expression and Prevents Its Lysosomal Routing. The Journal of Immunology. 180(6). 3938–3945. 32 indexed citations

18.

Beekman, Jeffrey M., et al.. (2007). Protein 4.1G binds to a unique motif within the FcγRI cytoplasmic tail. Molecular Immunology. 45(7). 2069–2075. 13 indexed citations

19.

Beekman, Jeffrey M., Jantine E. Bakema, Joke van der Linden, et al.. (2004). Modulation of FcγRI (CD64) Ligand Binding by Blocking Peptides of Periplakin. Journal of Biological Chemistry. 279(32). 33875–33881. 25 indexed citations

20.

Beekman, Jeffrey M., et al.. (2004). FcγRI(CD64)とペリプラキンの直接相互作用は受容体エンドサイトーシスとリガンド結合能を調節する. Proc Natl Acad Sci USA. 101(28). 10392–10397. 19 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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