Jan Schouten

10.6k total citations · 1 hit paper
160 papers, 7.8k citations indexed

About

Jan Schouten is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jan Schouten has authored 160 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Ophthalmology, 46 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Molecular Biology. Recurrent topics in Jan Schouten's work include Glaucoma and retinal disorders (47 papers), Retinal Diseases and Treatments (44 papers) and Corneal surgery and disorders (23 papers). Jan Schouten is often cited by papers focused on Glaucoma and retinal disorders (47 papers), Retinal Diseases and Treatments (44 papers) and Corneal surgery and disorders (23 papers). Jan Schouten collaborates with scholars based in Netherlands, United States and United Kingdom. Jan Schouten's co-authors include H. Susan J. Picavet, Carroll A.B. Webers, Martin H. Prins, Fred Hendrikse, Henny J. M. Beckers, H. A. Valkenburg, F A van den Ouweland, Rikkert van der Valk, Rudy M.M.A. Nuijts and Maurice P. Zeegers and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jan Schouten

157 papers receiving 7.4k citations

Hit Papers

Musculoskeletal pain in the Netherlands: prevalences, con... 2003 2026 2010 2018 2003 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
Jan Schouten Netherlands 46 2.6k 1.7k 1.5k 965 861 160 7.8k
Pesus Chou Taiwan 54 1.8k 0.7× 1.4k 0.8× 339 0.2× 1.4k 1.4× 785 0.9× 315 10.8k
F. Javier Nieto United States 56 1.4k 0.5× 1.7k 1.0× 148 0.1× 1.5k 1.5× 782 0.9× 106 12.6k
Yi‐Hsin Yang Taiwan 44 597 0.2× 979 0.6× 218 0.1× 646 0.7× 1.3k 1.5× 308 8.0k
Mary Frances Cotch United States 49 4.4k 1.7× 4.0k 2.4× 104 0.1× 960 1.0× 721 0.8× 127 10.6k
Trudy L. Burns United States 51 411 0.2× 1.0k 0.6× 199 0.1× 3.6k 3.8× 897 1.0× 204 10.3k
Ravindra Mohan Pandey India 46 605 0.2× 680 0.4× 140 0.1× 1.3k 1.4× 469 0.5× 304 7.1k
Peige Song China 38 721 0.3× 591 0.3× 126 0.1× 765 0.8× 576 0.7× 162 5.9k
Francesco Chiarelli Italy 63 330 0.1× 363 0.2× 730 0.5× 1.7k 1.7× 2.1k 2.4× 629 15.9k
Xiaoping Miao China 54 459 0.2× 238 0.1× 502 0.3× 665 0.7× 4.7k 5.4× 313 15.3k
Barbara E.K. Klein United States 61 8.2k 3.1× 7.5k 4.4× 109 0.1× 745 0.8× 1.2k 1.4× 181 13.5k

Countries citing papers authored by Jan Schouten

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schouten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schouten

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Schouten. A scholar is included among the top collaborators of Jan Schouten 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 Jan Schouten. Jan Schouten 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.
Beckers, Henny J. M., et al.. (2021). Effect of combined water drinking test and dark room provocative testing in Caucasian eyes with narrow angles. Eye. 36(1). 167–174. 3 indexed citations
2.
Zhou, Ting, Carla Kallen, Pieter C. Dagnelie, et al.. (2019). Carotid stiffness is associated with retinal microvascular dysfunction: the Maastricht study. TU/e Research Portal (Eindhoven University of Technology). 1 indexed citations
4.
Rouwendal, Gerard, Saskia Meyer, Karli R. Reiding, et al.. (2015). A comparison of anti-HER2 IgA and IgG1 in vivo efficacy is facilitated by high N-glycan sialylation of the IgA. mAbs. 8(1). 74–86. 41 indexed citations
5.
Webers, Carroll A.B., et al.. (2012). Prevalence of end-of-life visual impairment in patients followed for glaucoma. Acta Ophthalmologica. 91(8). 738–743. 16 indexed citations
6.
Gestel, Aukje van, Carroll A.B. Webers, Johan L. Severens, et al.. (2012). The long‐term outcomes of four alternative treatment strategies for primary open‐angle glaucoma. Acta Ophthalmologica. 90(1). 20–31. 36 indexed citations
7.
Erckens, Roel J., Carroll A.B. Webers, Henny J. M. Beckers, et al.. (2011). Detection of Raman Spectra in Ocular Drugs for Potential In Vivo Application of Raman Spectroscopy. Journal of Ocular Pharmacology and Therapeutics. 27(5). 445–451. 13 indexed citations
8.
Viechtbauer, Wolfgang, Jan Schouten, Henny J. M. Beckers, et al.. (2010). The influence of the assessment method on the incidence of visual field progression in glaucoma: a network meta‐analysis. Acta Ophthalmologica. 90(1). 10–19. 10 indexed citations
9.
Gestel, Aukje van, Carroll A.B. Webers, Henny J. M. Beckers, et al.. (2010). The relationship between visual field loss in glaucoma and health-related quality-of-life. Eye. 24(12). 1759–1769. 150 indexed citations
10.
Wetzels, Gwenn, Patricia J. Nelemans, Jan Schouten, et al.. (2007). Electronic Monitoring of Adherence as a Tool to Improve Blood Pressure ControlA Randomized Controlled Trial. American Journal of Hypertension. 20(2). 119–125. 49 indexed citations
11.
Schouten, Jan, et al.. (2006). Smoking cessation decreases the risk to develop COPD; A 25 yr follow-up study. Data Archiving and Networked Services (DANS).
12.
Wetzels, Gwenn, et al.. (2006). Determinants of poor adherence in hypertensive patients: Development and validation of the “Maastricht Utrecht Adherence in Hypertension (MUAH)-questionnaire”. Patient Education and Counseling. 64(1-3). 151–158. 44 indexed citations
13.
Beysen, Diane, Jean‐Pierre Fryns, Miranda Splitt, et al.. (2004). Genomic deletions account for more than 10% of the FOXL2 mutations in BPES families and can be revealed by MLPA analysis. European Journal of Human Genetics. 12. 248–248. 2 indexed citations
15.
Zmirou, Denis, Joel Schwartz, Marc Sáez, et al.. (1998). Time-Series Analysis of Air Pollution and Cause Specific Mortality. Epidemiology. 9(5). 495–503. 171 indexed citations
16.
Boezen, Marike, Jan Schouten, B Rijcken, et al.. (1998). Peak Expiratory Flow Variability, Bronchial Responsiveness, and Susceptibility to Ambient Air Pollution in Adults. American Journal of Respiratory and Critical Care Medicine. 158(6). 1848–1854. 42 indexed citations
17.
Weiss, Scott T., et al.. (1996). Introduction: ERS/ATS Workshop on Longitudinal Analysis of Pulmonary Function Data. American Journal of Respiratory and Critical Care Medicine. 154(6_Part_2). S207–S207. 4 indexed citations
18.
Nouws, J. F. M., et al.. (1995). Improvement of the tube diffusion test with respect to detection of antibiotic residues and sulphonamides in raw milk. Archiv für Lebensmittelhygiene. 46(6). 140–141. 13 indexed citations
19.
Brunekreef, Bert, et al.. (1985). THE ANALYSIS OF DETERMINANTS OF CHANGE IN EPIDEMIOLOGICAL-STUDIES. Data Archiving and Networked Services (DANS). 21. 45–45. 1 indexed citations
20.
Rijcken, B, et al.. (1983). LONGITUDINAL VERSUS CROSS-SECTIONAL STUDIES IN MEASURING EFFECTS OF SMOKING, AIR-POLLUTION AND HYPERREACTIVITY ON VC AND FEV1. Data Archiving and Networked Services (DANS). 2 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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