Menno Pruijm

5.6k total citations
176 papers, 3.0k citations indexed

About

Menno Pruijm is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Menno Pruijm has authored 176 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Nephrology, 35 papers in Pulmonary and Respiratory Medicine and 32 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Menno Pruijm's work include Blood Pressure and Hypertension Studies (26 papers), MRI in cancer diagnosis (24 papers) and Renal and Vascular Pathologies (22 papers). Menno Pruijm is often cited by papers focused on Blood Pressure and Hypertension Studies (26 papers), MRI in cancer diagnosis (24 papers) and Renal and Vascular Pathologies (22 papers). Menno Pruijm collaborates with scholars based in Switzerland, United States and Belgium. Menno Pruijm's co-authors include Michel Burnier, Bruno Vogt, Grégoire Wuerzner, Murielle Bochud, Bastien Milani, Belén Ponte, Matthias Stuber, Daniel Ackermann, Idris Guessous and Pierre‐Yves Martin and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Menno Pruijm

157 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menno Pruijm Switzerland 32 894 607 550 481 447 176 3.0k
Bruno Vogt Switzerland 37 1.3k 1.4× 911 1.5× 562 1.0× 435 0.9× 841 1.9× 212 4.0k
Maurice Laville France 32 1.6k 1.8× 451 0.7× 277 0.5× 509 1.1× 317 0.7× 111 3.3k
Dena E. Rifkin United States 37 2.0k 2.2× 672 1.1× 530 1.0× 1.2k 2.5× 323 0.7× 122 4.4k
Claudine Jurkovitz United States 30 1.3k 1.5× 530 0.9× 417 0.8× 1.4k 3.0× 261 0.6× 90 4.3k
Tsuneo Konta Japan 32 1.3k 1.5× 607 1.0× 168 0.3× 1.0k 2.1× 450 1.0× 205 3.8k
Dong‐Wan Chae South Korea 35 2.0k 2.2× 514 0.8× 163 0.3× 576 1.2× 298 0.7× 179 4.0k
Ho Jun Chin South Korea 36 1.9k 2.1× 510 0.8× 120 0.2× 643 1.3× 328 0.7× 188 4.0k
Mark J. Sarnak United States 28 2.1k 2.4× 730 1.2× 172 0.3× 1.3k 2.7× 487 1.1× 68 3.8k
Yasufumi Doi Japan 39 615 0.7× 687 1.1× 352 0.6× 1.3k 2.8× 1.0k 2.3× 73 4.5k
Louise Roy Canada 25 899 1.0× 480 0.8× 270 0.5× 395 0.8× 111 0.2× 55 2.6k

Countries citing papers authored by Menno Pruijm

Since Specialization
Citations

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

Fields of papers citing papers by Menno Pruijm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menno Pruijm

This figure shows the co-authorship network connecting the top 25 collaborators of Menno Pruijm. A scholar is included among the top collaborators of Menno Pruijm 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 Menno Pruijm. Menno Pruijm 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.
2.
Chamberlain, J. D., Daniel Ackermann, Murielle Bochud, et al.. (2025). Development and validation of an epigenetic signature of allostatic load. Bioscience Reports. 45(4). 247–262.
3.
Rochat, Etienne, et al.. (2025). Exploration of the Spiritual Expectations of Patients in a Swiss Hemodialysis Center. SERVAL (Université de Lausanne). 5(1). 2–2. 1 indexed citations
4.
Damianaki, Aikaterini, et al.. (2023). Determinants of Renal Micro-Perfusion as Assessed with Contrast-Enhanced Ultrasound in Healthy Males and Females. Journal of Clinical Medicine. 12(12). 4141–4141. 2 indexed citations
5.
Damianaki, Aikaterini, Mariëlle Hendriks‐Balk, Erietta Polychronopoulou, et al.. (2023). Contrast-enhanced ultrasonography reveals a lower cortical perfusion and a decreased renal flow reserve in hypertensive patients. Nephrology Dialysis Transplantation. 39(2). 242–250. 2 indexed citations
6.
Petrović, Dušan, Lise Bankir, Belén Ponte, et al.. (2023). The urine-to-plasma urea concentration ratio is associated with eGFR and eGFR decline over time in a population cohort. Nephrology Dialysis Transplantation. 39(1). 122–132. 3 indexed citations
7.
Ackermann, Daniel, Bruno Vogt, Murielle Bochud, et al.. (2022). Increased glucocorticoid metabolism in diabetic kidney disease. PLoS ONE. 17(6). e0269920–e0269920. 7 indexed citations
8.
Dotta-Celio, Jennifer, Isabella Locatelli, Grégoire Wuerzner, et al.. (2021). Interprofessional Medication Adherence Program for Patients With Diabetic Kidney Disease: Protocol for a Randomized Controlled and Qualitative Study (PANDIA-IRIS). JMIR Research Protocols. 10(3). e25966–e25966. 6 indexed citations
9.
Jaques, David, Menno Pruijm, Daniel Ackermann, et al.. (2020). Sodium Intake Is Associated With Renal Resistive Index in an Adult Population-Based Study. Hypertension. 76(6). 1898–1905. 5 indexed citations
10.
Zhang, Zhen‐Yu, Cristian Carmeli, Belén Ponte, et al.. (2020). Ambulatory Blood Pressure in Relation to Plasma and Urinary Manganese. Hypertension. 75(4). 1133–1139. 11 indexed citations
11.
Dhayat, Nasser A., Menno Pruijm, Belén Ponte, et al.. (2019). Parathyroid Hormone and Plasma Phosphate Are Predictors of Soluble α-Klotho Levels in Adults of European Descent. The Journal of Clinical Endocrinology & Metabolism. 105(4). e1135–e1143. 7 indexed citations
12.
Bochud, Murielle, Belén Ponte, Menno Pruijm, et al.. (2019). Urinary Sex Steroid and Glucocorticoid Hormones Are Associated With Muscle Mass and Strength in Healthy Adults. The Journal of Clinical Endocrinology & Metabolism. 104(6). 2195–2215. 16 indexed citations
13.
Wei, Fang‐Fei, Sander Trenson, Pierre Monney, et al.. (2018). Epidemiological and histological findings implicate matrix Gla protein in diastolic left ventricular dysfunction. PLoS ONE. 13(3). e0193967–e0193967. 13 indexed citations
14.
Pruijm, Menno, Bastien Milani, Edward Pivin, et al.. (2018). Reduced cortical oxygenation predicts a progressive decline of renal function in patients with chronic kidney disease. Kidney International. 93(4). 932–940. 140 indexed citations
15.
Colson, Arthur, et al.. (2018). Impact of salt reduction in meals consumed during hemodialysis sessions on interdialytic weight gain and hemodynamic stability. Hemodialysis International. 22(4). 501–506. 8 indexed citations
16.
Alwan, Heba, Menno Pruijm, Belén Ponte, et al.. (2014). Epidemiology of Masked and White-Coat Hypertension: The Family-Based SKIPOGH Study. PLoS ONE. 9(3). e92522–e92522. 49 indexed citations
17.
18.
Pruijm, Menno, Belén Ponte, Lucie Hofmann, et al.. (2011). [New radiological techniques to investigate patients suffering from chronic kidney disease].. PubMed. 7(284). 505–9. 1 indexed citations
19.
Pruijm, Menno, et al.. (2010). Alimentation et hypertension artérielle: au-delà du sel de table. Archive ouverte UNIGE (University of Geneva).
20.
Burnier, Michel, Menno Pruijm, & Murielle Bochud. (2009). Génétique et hypertension artérielle: qu'avons nous-appris?. Revue Médicale Suisse. 5(216). 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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