N.A.W. van Riel

4.3k total citations
128 papers, 2.4k citations indexed

About

N.A.W. van Riel is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, N.A.W. van Riel has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 26 papers in Physiology and 25 papers in Surgery. Recurrent topics in N.A.W. van Riel's work include Microbial Metabolic Engineering and Bioproduction (22 papers), Diet and metabolism studies (14 papers) and Diabetes Management and Research (13 papers). N.A.W. van Riel is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (22 papers), Diet and metabolism studies (14 papers) and Diabetes Management and Research (13 papers). N.A.W. van Riel collaborates with scholars based in Netherlands, United States and Germany. N.A.W. van Riel's co-authors include P.A.J. Hilbers, C. Theo Verrips, Christian Tiemann, Joep Vanlier, Eelko G. ter Schure, Walter H. Backes, Joep Schmitz, Jeroen A. L. Jeneson, Jorn op den Buijs and Klaas Nicolay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

N.A.W. van Riel

122 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.A.W. van Riel Netherlands 27 1.1k 356 335 270 250 128 2.4k
Jianhua Huang China 31 1.4k 1.2× 264 0.7× 290 0.9× 297 1.1× 116 0.5× 160 3.4k
Edward Lau United States 33 1.6k 1.4× 299 0.8× 305 0.9× 137 0.5× 577 2.3× 94 3.4k
Yue Li China 31 1.4k 1.2× 206 0.6× 236 0.7× 139 0.5× 226 0.9× 199 3.3k
Jianwen Chen China 35 2.0k 1.7× 284 0.8× 519 1.5× 101 0.4× 156 0.6× 148 4.0k
Thomas Noll Germany 39 2.9k 2.5× 520 1.5× 352 1.1× 311 1.2× 280 1.1× 169 4.8k
Frank D. Sistare United States 33 1.9k 1.6× 228 0.6× 123 0.4× 127 0.5× 266 1.1× 109 3.9k
Ashok Sharma United States 30 1.2k 1.1× 253 0.7× 261 0.8× 71 0.3× 98 0.4× 192 2.9k
Ying Zhou China 30 2.0k 1.8× 202 0.6× 170 0.5× 507 1.9× 126 0.5× 128 3.8k
Ann Chen Taiwan 39 2.2k 1.9× 250 0.7× 134 0.4× 133 0.5× 141 0.6× 135 4.3k

Countries citing papers authored by N.A.W. van Riel

Since Specialization
Citations

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

Fields of papers citing papers by N.A.W. van Riel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.A.W. van Riel. 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 N.A.W. van Riel. The network helps show where N.A.W. van Riel may publish in the future.

Co-authorship network of co-authors of N.A.W. van Riel

This figure shows the co-authorship network connecting the top 25 collaborators of N.A.W. van Riel. A scholar is included among the top collaborators of N.A.W. van Riel 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 N.A.W. van Riel. N.A.W. van Riel 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.
Aydin, Ömrüm, Albert K. Groen, Abraham S. Meijnikman, et al.. (2024). Does GLP-1 cause post-bariatric hypoglycemia: ‘Computer says no’. Computer Methods and Programs in Biomedicine. 257. 108424–108424.
2.
Riel, N.A.W. van, et al.. (2024). Serious digital games for diabetes Mellitus: A scoping review of its current State, Accessibility, and functionality for patients and healthcare providers. Diabetes Research and Clinical Practice. 216. 111833–111833. 1 indexed citations
3.
Riel, N.A.W. van, et al.. (2024). Mechanism-based and data-driven modeling in cell-free synthetic biology. Chemical Communications. 60(51). 6466–6475. 3 indexed citations
4.
Kox, Matthijs, et al.. (2024). Mathematical model of the inflammatory response to acute and prolonged lipopolysaccharide exposure in humans. npj Systems Biology and Applications. 10(1). 146–146. 1 indexed citations
5.
Nienhuijs, Simon W., Ignace H. J. T. de Hingh, Arjen‐Kars Boer, et al.. (2023). Postoperative circadian patterns in wearable sensor measured heart rate: a prospective observational study. Journal of Clinical Monitoring and Computing. 38(1). 147–156. 2 indexed citations
6.
Bouwman, R. Arthur, et al.. (2023). Machine Learning for Postoperative Continuous Recovery Scores of Oncology Patients in Perioperative Care with Data from Wearables. Sensors. 23(9). 4455–4455. 11 indexed citations
7.
Scheerhoorn, Jai, Simon W. Nienhuijs, Arjen‐Kars Boer, et al.. (2023). The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study. SHILAP Revista de lepidopterología. 6. e40474–e40474. 7 indexed citations
8.
9.
Riel, N.A.W. van, et al.. (2022). Prognostic Value of Combined Biomarkers in Patients With Heart Failure: The Heartmarker Score. Annals of Laboratory Medicine. 43(3). 253–262. 6 indexed citations
10.
Boer, Arjen‐Kars, Heidi Ammerlaan, Mathie P.G. Leers, et al.. (2022). Development and validation of an early warning score to identify COVID-19 in the emergency department based on routine laboratory tests: a multicentre case–control study. BMJ Open. 12(8). e059111–e059111. 2 indexed citations
11.
Heide, Loek J. M. de, Martijn Koehorst, Tim van Zutphen, et al.. (2021). Altered bile acid kinetics contribute to postprandial hypoglycaemia after Roux-en-Y gastric bypass surgery. International Journal of Obesity. 45(3). 619–630. 29 indexed citations
12.
Reeskamp, Laurens F., Jorge Peter, M. Mahdi Motazacker, et al.. (2021). Intronic variant screening with targeted next-generation sequencing reveals first pseudoexon in LDLR in familial hypercholesterolemia. Atherosclerosis. 321. 14–20. 10 indexed citations
13.
Driessens, Kurt, Evgueni Smirnov, Michael Lenz, et al.. (2020). Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes. PLoS ONE. 15(8). e0236392–e0236392. 4 indexed citations
14.
Eggink, Hannah M., Martijn Koehorst, Johannes A. Romijn, et al.. (2020). Model‐based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine. Physiological Reports. 8(5). e14358–e14358. 7 indexed citations
15.
Lenz, Michael, Joerg Liebmann, Gökhan Ertaylan, et al.. (2019). Characterization of disease-specific cellular abundance profiles of chronic inflammatory skin conditions from deconvolution of biopsy samples. BMC Medical Genomics. 12(1). 121–121. 20 indexed citations
16.
Pul, Carola van, et al.. (2018). Model-based analysis of postprandial glycemic response dynamics for different types of food. SHILAP Revista de lepidopterología. 19. 32–45. 24 indexed citations
17.
Chen, Wei, et al.. (2016). Concept Development of the Eindhoven Diabetes Education Simulator Project. Games for Health Journal. 5(2). 120–127. 4 indexed citations
18.
Tiemann, Christian, Joep Vanlier, Maaike H. Oosterveer, et al.. (2013). Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions. PLoS Computational Biology. 9(8). e1003166–e1003166. 27 indexed citations
19.
Groenendaal, Willemijn, et al.. (2008). Modeling Glucose and Water Dynamics in Human Skin. Diabetes Technology & Therapeutics. 10(4). 283–293. 25 indexed citations
20.
Riel, N.A.W. van, et al.. (2001). The glutamate synthase (GOGAT) of Saccharomyces cerevisiae plays an important role in the central nitrogen metabolism. FEMS Yeast Research. 1(3). 169–175. 6 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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