Thomas O. Bergmeijer

2.1k total citations · 2 hit papers
33 papers, 1.1k citations indexed

About

Thomas O. Bergmeijer is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Thomas O. Bergmeijer has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 21 papers in Surgery and 9 papers in Internal Medicine. Recurrent topics in Thomas O. Bergmeijer's work include Antiplatelet Therapy and Cardiovascular Diseases (30 papers), Acute Myocardial Infarction Research (16 papers) and Coronary Interventions and Diagnostics (10 papers). Thomas O. Bergmeijer is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (30 papers), Acute Myocardial Infarction Research (16 papers) and Coronary Interventions and Diagnostics (10 papers). Thomas O. Bergmeijer collaborates with scholars based in Netherlands, United States and United Kingdom. Thomas O. Bergmeijer's co-authors include Jurriën M. ten Berg, Vera H.M. Deneer, Johannes C. Kelder, Paul W.A. Janssen, Arnoud W.J. van ‘t Hof, Folkert W. Asselbergs, Willem J.M. Dewilde, Jean‐Paul R. Herrman, Daniel M.F. Claassens and Maarten J. Postma and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas O. Bergmeijer

30 papers receiving 1.1k citations

Hit Papers

A Genotype-Guided Strategy for Oral P2Y 12 Inhibitors in ... 2019 2026 2021 2023 2019 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas O. Bergmeijer Netherlands 15 1.0k 513 280 148 84 33 1.1k
Paul W.A. Janssen Netherlands 14 693 0.7× 354 0.7× 202 0.7× 77 0.5× 75 0.9× 30 792
Willem J.M. Dewilde Netherlands 9 1.6k 1.5× 488 1.0× 456 1.6× 75 0.5× 69 0.8× 19 1.7k
Daniel M.F. Claassens Netherlands 8 442 0.4× 237 0.5× 118 0.4× 75 0.5× 67 0.8× 16 517
Chantal Pharand Canada 15 831 0.8× 345 0.7× 229 0.8× 119 0.8× 36 0.4× 40 1.0k
Nicoline J. Breet Netherlands 18 1.7k 1.7× 831 1.6× 536 1.9× 283 1.9× 58 0.7× 28 1.8k
Ying G. Li United States 17 906 0.9× 448 0.9× 226 0.8× 370 2.5× 28 0.3× 21 1.2k
Thomas Cuisset France 22 2.0k 2.0× 1.2k 2.3× 386 1.4× 160 1.1× 39 0.5× 77 2.2k
Gerrit J.A. Vos Netherlands 6 381 0.4× 199 0.4× 99 0.4× 64 0.4× 63 0.8× 9 451
Ilaria Sestini Italy 10 413 0.4× 254 0.5× 62 0.2× 126 0.9× 47 0.6× 14 653
Bonnie L. Hiatt United States 6 1.3k 1.3× 687 1.3× 382 1.4× 164 1.1× 29 0.3× 9 1.4k

Countries citing papers authored by Thomas O. Bergmeijer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas O. Bergmeijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas O. Bergmeijer. 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 Thomas O. Bergmeijer. The network helps show where Thomas O. Bergmeijer may publish in the future.

Co-authorship network of co-authors of Thomas O. Bergmeijer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas O. Bergmeijer. A scholar is included among the top collaborators of Thomas O. Bergmeijer 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 Thomas O. Bergmeijer. Thomas O. Bergmeijer 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.
Bergmeijer, Thomas O., Dean R.P.P. Chan Pin Yin, Joyce Peper, et al.. (2022). Effects of CYP3A4*22 and CYP3A5 on clinical outcome in patients treated with ticagrelor for ST-segment elevation myocardial infarction: POPular Genetics sub-study. Frontiers in Pharmacology. 13. 1032995–1032995. 2 indexed citations
2.
Claassens, Daniel M.F., Renicus S. Hermanides, Gerrit J.A. Vos, et al.. (2021). Efficacy and safety of glycoproteinIIb/IIIainhibitors in addition toP2Y12inhibitors inST‐segment elevation myocardial infarction: A subanalysis of thePOPularGenetics trial. Catheterization and Cardiovascular Interventions. 99(3). 676–685. 4 indexed citations
3.
Claassens, Daniel M.F., Thomas O. Bergmeijer, Gerrit J.A. Vos, et al.. (2021). Clopidogrel Versus Ticagrelor or Prasugrel After Primary Percutaneous Coronary Intervention According to CYP2C19 Genotype. Circulation Cardiovascular Interventions. 14(4). 17 indexed citations
4.
Claassens, Daniel M.F., Gerrit J.A. Vos, Thomas O. Bergmeijer, et al.. (2021). Cost Effectiveness of a CYP2C19 Genotype-Guided Strategy in Patients with Acute Myocardial Infarction: Results from the POPular Genetics Trial. American Journal of Cardiovascular Drugs. 22(2). 195–206. 16 indexed citations
5.
6.
Angiolillo, Dominick J., Davide Capodanno, Nicolas Danchin, et al.. (2020). Derivation, Validation, and Prognostic Utility of a Prediction Rule for Nonresponse to Clopidogrel. JACC: Cardiovascular Interventions. 13(5). 606–617. 94 indexed citations
7.
Gimbel, Marieke E., Laura M. Willemsen, Rik Hermanides, et al.. (2020). Clopidogrel versus ticagrelor or prasugrel in patients aged 70 years or older with non-ST-elevation acute coronary syndrome (POPular AGE): the randomised, open-label, non-inferiority trial. The Lancet. 395(10233). 1374–1381. 212 indexed citations breakdown →
8.
Claassens, Daniel M.F., Gerrit J.A. Vos, Thomas O. Bergmeijer, et al.. (2019). A Genotype-Guided Strategy for Oral P2Y 12 Inhibitors in Primary PCI. New England Journal of Medicine. 381(17). 1621–1631. 378 indexed citations breakdown →
9.
Godschalk, Thea C., Marieke E. Gimbel, Giovanni Amoroso, et al.. (2018). A clinical risk score to identify patients at high risk of very late stent thrombosis. Journal of Interventional Cardiology. 31(2). 159–169. 5 indexed citations
10.
Godschalk, Thea C., Laura M. Willemsen, Bastiaan Zwart, et al.. (2017). Effect of Tailored Antiplatelet Therapy to Reduce Recurrent Stent Thrombosis and Cardiac Death After a First Episode of Stent Thrombosis. The American Journal of Cardiology. 119(10). 1500–1506. 2 indexed citations
11.
Bergmeijer, Thomas O., Paul W.A. Janssen, Thea C. Godschalk, et al.. (2017). Incidence and Causes for Early Ticagrelor Discontinuation: A “Real-World” Dutch Registry Experience. Cardiology. 138(3). 164–168. 23 indexed citations
12.
Heestermans, Antonius A.C.M., J. Wouter Jukema, Michiel Voskuil, et al.. (2015). Ticagrelor or prasugrel versus clopidogrel in elderly patients with an acute coronary syndrome: Optimization of antiplatelet treatment in patients 70 years and older—rationale and design of the POPular AGE study. American Heart Journal. 170(5). 981–985.e1. 28 indexed citations
13.
Bergmeijer, Thomas O., Paul W.A. Janssen, Folkert W. Asselbergs, et al.. (2014). CYP2C19 genotype–guided antiplatelet therapy in ST-segment elevation myocardial infarction patients—Rationale and design of the Patient Outcome after primary PCI (POPular) Genetics study. American Heart Journal. 168(1). 16–22.e1. 60 indexed citations
14.
Bergmeijer, Thomas O., Udaya S. Tantry, Jurriën M. ten Berg, et al.. (2014). The effect of CYP2C19 gene polymorphisms on the pharmacokinetics and pharmacodynamics of prasugrel 5-mg, prasugrel 10-mg and clopidogrel 75-mg in patients with coronary artery disease. Thrombosis and Haemostasis. 112(9). 589–597. 24 indexed citations
15.
Breet, Nicoline J., Willem Jan W. Bos, Heleen Bouman, et al.. (2014). The impact of renal function on platelet reactivity and clinical outcome in patients undergoing percutaneous coronary intervention with stenting. Thrombosis and Haemostasis. 112(12). 1174–1181. 22 indexed citations
16.
Bergmeijer, Thomas O., et al.. (2013). Ticagrelor is frequently discontinued in a real world setting. European Heart Journal. 34(suppl 1). P4867–P4867. 2 indexed citations
17.
Erlinge, David, Jurriën M. ten Berg, David P. Foley, et al.. (2012). PRASUGREL 5 MG IN LOW BODY WEIGHT PATIENTS REDUCES PLATELET REACTIVITY TO A SIMILAR EXTENT AS PRASUGREL 10 MG IN HIGHER BODY WEIGHT PATIENTS: RESULTS FROM THE FEATHER TRIAL. Journal of the American College of Cardiology. 59(13). E341–E341. 4 indexed citations
18.
Erlinge, David, Jurriën M. ten Berg, David P. Foley, et al.. (2012). Reduction in Platelet Reactivity With Prasugrel 5 mg in Low-Body-Weight Patients Is Noninferior to Prasugrel 10 mg in Higher-Body-Weight Patients. Journal of the American College of Cardiology. 60(20). 2032–2040. 63 indexed citations
19.
Postma, Sonja, Thomas O. Bergmeijer, Jurriën M. ten Berg, & Arnoud W.J. van ‘t Hof. (2012). Pre-hospital diagnosis, triage and treatment in patients with ST elevation myocardial infarction. Heart. 98(22). 1674–1678.
20.
Bergmeijer, Thomas O., Jochem W. van Werkum, Udaya S. Tantry, Paul A. Gurbel, & Jurriën M. ten Berg. (2011). Platelet Function Testing in Clinical Practice – Experience and Views from Europe and the US. European Cardiology Review. 7(3). 203–203. 1 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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