Annemarie Rietman

493 total citations
9 papers, 375 citations indexed

About

Annemarie Rietman is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Annemarie Rietman has authored 9 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Annemarie Rietman's work include Diet and metabolism studies (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diet, Metabolism, and Disease (3 papers). Annemarie Rietman is often cited by papers focused on Diet and metabolism studies (6 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diet, Metabolism, and Disease (3 papers). Annemarie Rietman collaborates with scholars based in Netherlands, France and United States. Annemarie Rietman's co-authors include Marco Mensink, F.J. Kok, Jessica Schwarz, Daniel Tomé, Edith J. M. Feskens, Els Siebelink, Diewertje Sluik, Clary B. Clish, Vamsi K. Mootha and Steven Grinspoon and has published in prestigious journals such as The FASEB Journal, Journal of Nutrition and Nutrients.

In The Last Decade

Annemarie Rietman

9 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annemarie Rietman Netherlands 7 220 131 105 88 73 9 375
Stephanie Sucher Germany 7 231 1.1× 96 0.7× 144 1.4× 135 1.5× 70 1.0× 10 401
Shangling Wu China 8 159 0.7× 68 0.5× 124 1.2× 49 0.6× 148 2.0× 16 347
Deborah Bujnowski United States 5 145 0.7× 154 1.2× 28 0.3× 60 0.7× 75 1.0× 8 404
A. Parra Spain 9 186 0.8× 52 0.4× 63 0.6× 30 0.3× 64 0.9× 32 383
Femke P. M. Hoevenaars Netherlands 14 246 1.1× 91 0.7× 107 1.0× 41 0.5× 131 1.8× 28 528
R. Taylor Pickering United States 13 177 0.8× 59 0.5× 103 1.0× 59 0.7× 79 1.1× 23 370
Marta P. Silvestre New Zealand 15 270 1.2× 121 0.9× 89 0.8× 85 1.0× 203 2.8× 45 551
Cécile M. Singh‐Povel Netherlands 16 206 0.9× 271 2.1× 30 0.3× 53 0.6× 75 1.0× 25 504
Savina Contini Italy 8 234 1.1× 36 0.3× 99 0.9× 89 1.0× 85 1.2× 12 367
Rongcai Ye China 10 244 1.1× 77 0.6× 96 0.9× 29 0.3× 72 1.0× 16 439

Countries citing papers authored by Annemarie Rietman

Since Specialization
Citations

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

Fields of papers citing papers by Annemarie Rietman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annemarie Rietman

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

All Works

9 of 9 papers shown
2.
Hoek, Anita M. van den, Gerben Zondag, Lars Verschuren, et al.. (2019). A novel nutritional supplement prevents muscle loss and accelerates muscle mass recovery in caloric-restricted mice. Metabolism. 97. 57–67. 11 indexed citations
3.
Rietman, Annemarie, Diewertje Sluik, Edith J. M. Feskens, F.J. Kok, & Marco Mensink. (2017). Associations between dietary factors and markers of NAFLD in a general Dutch adult population. European Journal of Clinical Nutrition. 72(1). 117–123. 68 indexed citations
4.
Rietman, Annemarie, Takara L. Stanley, Clary B. Clish, et al.. (2016). Associations between plasma branched-chain amino acids, β-aminoisobutyric acid and body composition. Journal of Nutritional Science. 5. e6–e6. 33 indexed citations
5.
Rietman, Annemarie, Jessica Schwarz, Els Siebelink, et al.. (2014). Increasing Protein Intake Modulates Lipid Metabolism in Healthy Young Men and Women Consuming a High-Fat Hypercaloric Diet. Journal of Nutrition. 144(8). 1174–1180. 30 indexed citations
6.
Feskens, Edith J. M., et al.. (2014). Partly Replacing Meat Protein with Soy Protein Alters Insulin Resistance and Blood Lipids in Postmenopausal Women with Abdominal Obesity. Journal of Nutrition. 144(9). 1423–1429. 69 indexed citations
7.
Rietman, Annemarie, Jessica Schwarz, Daniel Tomé, F.J. Kok, & Marco Mensink. (2014). High dietary protein intake, reducing or eliciting insulin resistance?. European Journal of Clinical Nutrition. 68(9). 973–979. 147 indexed citations
8.
Rietman, Annemarie, Jessica Schwarz, Els Siebelink, et al.. (2013). High dietary protein intake results in lower intra hepatic lipid content in healthy humans on a hypercaloric high‐fat diet. The FASEB Journal. 27(S1). 1 indexed citations
9.
Joosten, Michel M., Cees de Graaf, Annemarie Rietman, Renger F. Witkamp, & H. Hendriks. (2010). Short-term oral exposure to white wine transiently lowers serum free fatty acids. Appetite. 55(1). 124–129. 10 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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