Peter G. Noordzij

2.9k total citations
84 papers, 1.5k citations indexed

About

Peter G. Noordzij is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peter G. Noordzij has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cardiology and Cardiovascular Medicine, 42 papers in Surgery and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peter G. Noordzij's work include Cardiac, Anesthesia and Surgical Outcomes (54 papers), Frailty in Older Adults (13 papers) and Hemodynamic Monitoring and Therapy (11 papers). Peter G. Noordzij is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (54 papers), Frailty in Older Adults (13 papers) and Hemodynamic Monitoring and Therapy (11 papers). Peter G. Noordzij collaborates with scholars based in Netherlands, United States and Poland. Peter G. Noordzij's co-authors include Don Poldermans, Jeroen J. Bax, Eric Boersma, Olaf Schouten, Frodo Schreiner, Harm H.H. Feringa, Jan Klein, E.M.W. van de Garde, Lisa Verwijmeren and Miklós D. Kertai and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Peter G. Noordzij

76 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter G. Noordzij Netherlands 20 970 861 366 172 151 84 1.5k
Prateek K. Gupta United States 24 1.1k 1.2× 1.2k 1.4× 913 2.5× 83 0.5× 99 0.7× 66 2.0k
Justin Vader United States 21 1.1k 1.2× 462 0.5× 297 0.8× 174 1.0× 35 0.2× 76 1.6k
Veli‐Pekka Harjola Finland 23 2.3k 2.4× 687 0.8× 406 1.1× 199 1.2× 57 0.4× 43 3.2k
Laura Findeiss United States 16 667 0.7× 1.1k 1.3× 701 1.9× 216 1.3× 93 0.6× 43 1.9k
Mert İlker Hayıroğlu Türkiye 27 1.2k 1.2× 426 0.5× 208 0.6× 113 0.7× 180 1.2× 136 1.9k
Marc Husmann Switzerland 24 693 0.7× 892 1.0× 420 1.1× 130 0.8× 63 0.4× 85 1.7k
Abhishek Sharma United States 22 1.1k 1.1× 425 0.5× 188 0.5× 104 0.6× 100 0.7× 99 1.8k
Francesco Torella United Kingdom 27 942 1.0× 967 1.1× 1.3k 3.6× 143 0.8× 52 0.3× 134 2.4k
Omar F. AbouEzzeddine United States 24 1.4k 1.5× 326 0.4× 540 1.5× 113 0.7× 81 0.5× 61 2.0k
Leili Pourafkari Iran 17 668 0.7× 299 0.3× 210 0.6× 82 0.5× 166 1.1× 150 1.2k

Countries citing papers authored by Peter G. Noordzij

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Noordzij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Noordzij. 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 Peter G. Noordzij. The network helps show where Peter G. Noordzij may publish in the future.

Co-authorship network of co-authors of Peter G. Noordzij

This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Noordzij. A scholar is included among the top collaborators of Peter G. Noordzij 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 Peter G. Noordzij. Peter G. Noordzij 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
2.
Noordzij, Peter G., Eelco J. Veen, W. Anton Visser, et al.. (2025). Does postoperative plasma IL-6 improve early prediction of infection after pulmonary cancer surgery? A two-centre prospective study. PLoS ONE. 20(6). e0326537–e0326537.
3.
Vernooij, Lisette M., Dianne de Korte‐de Boer, Markus W. Hollmann, et al.. (2025). Performance of the early warning system score in predicting postoperative complications in older versus younger patients. Perioperative Medicine. 14(1). 39–39.
4.
Rettig, Thijs C.D., Ineke M. Dijkstra, Hjalmar van Santvoort, et al.. (2025). Is chronic inflammation a risk factor for perioperative myocardial injury or heart failure in pancreatic surgery patients?. BJA Open. 14. 100417–100417. 1 indexed citations
5.
Vries, Ralph de, et al.. (2024). The effect of early warning scoring systems on adverse outcome in surgical patients: A systematic review. International Journal of Nursing Studies Advances. 7. 100256–100256. 1 indexed citations
6.
Noordzij, Peter G., Henk J.T. Ruven, Olaf L. Cremer, et al.. (2024). Cohort profile of BIGPROMISE: a perioperative biobank of a high-risk surgical population. BMJ Open. 14(6). e078307–e078307. 2 indexed citations
7.
Dongen, Eric P.A. van, Lisa Verwijmeren, Mariëlle H. Emmelot‐Vonk, et al.. (2023). Advanced glycation end products for preoperative frailty screening in older cardiac surgery patients. Journal of the American Geriatrics Society. 71(8). 2520–2529. 2 indexed citations
9.
Vernooij, Lisette M., Lisa Verwijmeren, Douwe H. Biesma, et al.. (2022). Preoperative frailty and chronic pain after cardiac surgery: a prospective observational study. BMC Anesthesiology. 22(1). 201–201. 8 indexed citations
10.
Breel, Jennifer S., Sander M. J. van Kuijk, Carolien S. E. Bulte, et al.. (2022). Outcome in patients undergoing postponed elective surgery during the COVID-19 pandemic (TRACE II): study protocol for a multicentre prospective observational study. BMJ Open. 12(6). e060354–e060354. 3 indexed citations
13.
Dijksman, Lea M., et al.. (2021). Effect of Intra-Operative Hypothermia on Post-Operative Morbidity in Patients with Colorectal Cancer. Surgical Infections. 22(8). 803–809. 4 indexed citations
14.
Boerma, E. Christiaan, Can İnce, Matthias P. Hilty, et al.. (2021). Association between serosal intestinal microcirculation and blood pressure during major abdominal surgery. SHILAP Revista de lepidopterología. 1(1). 59–64. 4 indexed citations
15.
Wijngaarden, Els van, et al.. (2019). Anesthesia Geriatric Evaluation (AGE): A Care-Ethical Perspective of a Multi-Disciplinary Approach for Tailored Preoperative Interventions. SHILAP Revista de lepidopterología. 5. 3694954270–3694954270. 6 indexed citations
16.
Verwijmeren, Lisa, Peter G. Noordzij, Edgar J. Daeter, et al.. (2018). Preoperative determinants of quality of life a year after coronary artery bypass grafting: a historical cohort study. Journal of Cardiothoracic Surgery. 13(1). 118–118. 15 indexed citations
17.
Noordzij, Peter G., Don Poldermans, Olaf Schouten, et al.. (2010). Postoperative Mortality in The Netherlands. Anesthesiology. 112(5). 1105–1115. 145 indexed citations
18.
Feringa, Harm H.H., Jeroen J. Bax, Eric Boersma, et al.. (2006). Abstract 1898: A Prognostic Risk Index Predicts Long-Term Mortality in Patients with Peripheral Arterial Disease. Circulation. 114. 1 indexed citations
19.
Dunkelgrün, Martin, Olaf Schouten, Harm H.H. Feringa, et al.. (2006). Perioperative Cardiac Risk Stratification and Modification in Abdominal Aortic Aneurysm Repair. Acta chirurgica Belgica. 106(4). 361–366. 2 indexed citations
20.
Boersma, Eric, Miklós D. Kertai, Olaf Schouten, et al.. (2005). Perioperative cardiovascular mortality in noncardiac surgery: Validation of the Lee cardiac risk index. The American Journal of Medicine. 118(10). 1134–1141. 224 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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