Iris M. de Hoogh

474 total citations
18 papers, 292 citations indexed

About

Iris M. de Hoogh is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Iris M. de Hoogh has authored 18 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Genetics. Recurrent topics in Iris M. de Hoogh's work include Diet and metabolism studies (12 papers), Nutrition, Genetics, and Disease (7 papers) and Diabetes Management and Education (4 papers). Iris M. de Hoogh is often cited by papers focused on Diet and metabolism studies (12 papers), Nutrition, Genetics, and Disease (7 papers) and Diabetes Management and Education (4 papers). Iris M. de Hoogh collaborates with scholars based in Netherlands, United States and Canada. Iris M. de Hoogh's co-authors include Suzan Wopereis, Wilrike J. Pasman, Ben van Ommen, Tim J. van den Broek, André Boorsma, Joshua C. Anthony, Koen Hogenelst, Alexandre Kalache, Brian K. Kennedy and Anwen Shao and has published in prestigious journals such as Nutrients, Journal of Medical Internet Research and Physiology & Behavior.

In The Last Decade

Iris M. de Hoogh

16 papers receiving 283 citations

Peers

Countries citing papers authored by Iris M. de Hoogh

Since Specialization

Citations

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

Fields of papers citing papers by Iris M. de Hoogh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iris M. de Hoogh. 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 Iris M. de Hoogh. The network helps show where Iris M. de Hoogh may publish in the future.

Co-authorship network of co-authors of Iris M. de Hoogh

This figure shows the co-authorship network connecting the top 25 collaborators of Iris M. de Hoogh. A scholar is included among the top collaborators of Iris M. de Hoogh 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 Iris M. de Hoogh. Iris M. de Hoogh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Exploring the role of nutritional strategies to influence physiological and cognitive mechanisms in cold weather operations in military personnel 2025 ·Frontiers in Physiology ·(unknown), (unknown), Sam B. Ballak, Milène Catoire, Iris M. de Hoogh, Femke P. M. Hoevenaars	2
2	Differential effects of lifestyle interventions on continuous glucose monitoring metrics in persons with type 2 diabetes: Potential for personalised treatment 2025 ·Diabetes Obesity and Metabolism ·Iris M. de Hoogh, (unknown), (unknown), (unknown), Albert A. de Graaf, Hanno Pijl	1
3	Feasibility of digital phenotyping based on continuous glucose monitoring to support personalized lifestyle medicine in type 2 diabetes 2024 ·Maturitas ·W van den Brink, Tim J. van den Broek, Suzan Wopereis, Sonia Difrancesco, F.A.L. van der Horst, Iris M. de Hoogh	0
4	Differential impact of lifestyle factors on 2-hour glucose values in individuals with type 2 diabetes: potential for more personalized interventions 2024 ·BMJ Open Diabetes Research & Care ·(unknown), (unknown), (unknown), Hannah M. Eggink, Hanno Pijl, Albert A. de Graaf, Iris M. de Hoogh	1
5	Design Issues in Personalized Nutrition Advice Systems 2023 ·Journal of Medical Internet Research ·Iris M. de Hoogh, Machiel J. Reinders, Esmée L. Doets, Femke P. M. Hoevenaars, J.L. Top	11
6	360° Diagnostic Tool to Personalize Lifestyle Advice in Primary Care for People With Type 2 Diabetes: Development and Usability Study 2023 ·JMIR Formative Research ·Zeena Harakeh, Iris M. de Hoogh, Hilde van Keulen, (unknown), (unknown), Pepijn van Empelen, Wilma Otten	0
7	Digital Biomarkers for Personalized Nutrition: Predicting Meal Moments and Interstitial Glucose with Non-Invasive, Wearable Technologies 2022 ·Nutrients ·W van den Brink, Tim J. van den Broek, (unknown), Suzan Wopereis, Iris M. de Hoogh	24
8	Effects of a 13-Week Personalized Lifestyle Intervention Based on the Diabetes Subtype for People with Newly Diagnosed Type 2 Diabetes 2022 ·Biomedicines ·Iris M. de Hoogh, Wilrike J. Pasman, André Boorsma, Ben van Ommen, Suzan Wopereis	9
9	Predictors of the Acceptance of an Electronic Coach Targeting Self-management of Patients With Type 2 Diabetes: Web-Based Survey 2022 ·JMIR Formative Research ·Zeena Harakeh, Hilde van Keulen, Koen Hogenelst, Wilma Otten, Iris M. de Hoogh, Pepijn van Empelen	4
10	The potential of personalized nutrition for improving wholegrain consumption 2022 ·Journal of Cereal Science ·Iris M. de Hoogh, J.W. van der Kamp, Suzan Wopereis	3
11	A Novel Personalized Systems Nutrition Program Improves Dietary Patterns, Lifestyle Behaviors and Health-Related Outcomes: Results from the Habit Study 2021 ·Nutrients ·Iris M. de Hoogh, Barbara Winters, Kristin M. Nieman, Sabina Bijlsma, (unknown), Tim J. van den Broek, Barbara Anderson, Martien P. M. Caspers, Joshua C. Anthony, Suzan Wopereis	21
12	The Effect of a Lifestyle Intervention on Type 2 Diabetes Pathophysiology and Remission: The Stevenshof Pilot Study 2021 ·Nutrients ·Iris M. de Hoogh, Johanneke E. Oosterman, Wilma Otten, (unknown), (unknown), Wilrike J. Pasman, Ben van Ommen, Hanno Pijl, Suzan Wopereis	11
13	A new way to diagnose and treat type 2 diabetics studied in a primary care setting 2020 ·Proceedings of The Nutrition Society ·Wilrike J. Pasman, Iris M. de Hoogh, André Boorsma, Suzan Wopereis	1
14	Evaluation of Food-Intake Behavior in a Healthy Population: Personalized vs. One-Size-Fits-All 2020 ·Nutrients ·Femke P. M. Hoevenaars, (unknown), Wilrike J. Pasman, Tim J. van den Broek, (unknown), Iris M. de Hoogh, Suzan Wopereis	18
15	Beneficial effect of personalized lifestyle advice compared to generic advice on wellbeing among Dutch seniors – An explorative study 2019 ·Physiology & Behavior ·Esmée L. Doets, Iris M. de Hoogh, Nancy Holthuysen, Suzan Wopereis, M.C.D. Verain, (unknown), Koen Hogenelst, André Boorsma, Emily P. Bouwman, (unknown), Wilrike J. Pasman, Marjan van Erk, Machiel J. Reinders	18
16	Nutrition interventions for healthy ageing across the lifespan: a conference report 2019 ·European Journal of Nutrition ·Alexandre Kalache, Iris M. de Hoogh, Susan E. Howlett, Brian K. Kennedy, Manfred Eggersdorfer, Daniel S. Marsman, Anwen Shao, James C. Griffiths	54
17	From Diabetes Care to Diabetes Cure—The Integration of Systems Biology, eHealth, and Behavioral Change 2018 ·Frontiers in Endocrinology ·Ben van Ommen, Suzan Wopereis, Pepijn van Empelen, Hilde van Keulen, Wilma Otten, Marise J. Kasteleyn, (unknown), Iris M. de Hoogh, Niels H. Chavannes, Mattijs E. Numans, Andrea W.M. Evers, Hanno Pijl	51
18	Systems biology of personalized nutrition 2017 ·Nutrition Reviews ·Ben van Ommen, (unknown), Iris M. de Hoogh, Marjan van Erk, Eugene van Someren, (unknown), Joshua C. Anthony, Koen Hogenelst, Wilrike J. Pasman, André Boorsma, Suzan Wopereis	63

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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