Mandy Schulz

4.9k total citations
54 papers, 1.5k citations indexed

About

Mandy Schulz is a scholar working on Public Health, Environmental and Occupational Health, Physiology and General Health Professions. According to data from OpenAlex, Mandy Schulz has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 15 papers in Physiology and 8 papers in General Health Professions. Recurrent topics in Mandy Schulz's work include Nutritional Studies and Diet (19 papers), Diet and metabolism studies (12 papers) and Health and Medical Studies (8 papers). Mandy Schulz is often cited by papers focused on Nutritional Studies and Diet (19 papers), Diet and metabolism studies (12 papers) and Health and Medical Studies (8 papers). Mandy Schulz collaborates with scholars based in Germany, United States and Canada. Mandy Schulz's co-authors include Angela D. Liese, Heiner Boeing, Kurt Hoffmann, Elizabeth J. Mayer‐Davis, Manuela M. Bergmann, Ralph B. D’Agostino, Anja Kroke, Thomas M.S. Wolever, Matthias B. Schulze and Ute Nöthlings and has published in prestigious journals such as Journal of Clinical Oncology, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

Mandy Schulz

49 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
Mandy Schulz Germany 21 857 654 270 249 182 54 1.5k
Jytte Halkjær Denmark 22 1.0k 1.2× 685 1.0× 353 1.3× 130 0.5× 115 0.6× 49 1.8k
Janett Barbaresko Germany 16 691 0.8× 483 0.7× 206 0.8× 298 1.2× 75 0.4× 27 1.6k
Cecilia Galbete Germany 20 803 0.9× 550 0.8× 184 0.7× 168 0.7× 91 0.5× 27 1.5k
Guri Skeie Norway 23 892 1.0× 430 0.7× 303 1.1× 88 0.4× 234 1.3× 73 1.5k
Mariarosaria Persichillo Italy 26 973 1.1× 439 0.7× 213 0.8× 95 0.4× 81 0.4× 77 1.8k
Masoud Kimiagar Iran 19 1.0k 1.2× 683 1.0× 613 2.3× 598 2.4× 86 0.5× 49 2.3k
Manuela Neuenschwander Germany 16 714 0.8× 610 0.9× 176 0.7× 406 1.6× 42 0.2× 25 1.7k
Ana García‐Arellano Spain 12 1.0k 1.2× 669 1.0× 335 1.2× 147 0.6× 33 0.2× 16 1.7k
Chiho Goto Japan 21 488 0.6× 500 0.8× 331 1.2× 109 0.4× 117 0.6× 60 1.6k
Younjhin Ahn South Korea 22 512 0.6× 309 0.5× 264 1.0× 305 1.2× 62 0.3× 34 1.3k

Countries citing papers authored by Mandy Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Mandy Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandy Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Mandy Schulz. A scholar is included among the top collaborators of Mandy Schulz 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 Mandy Schulz. Mandy Schulz 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.
Schulz, Mandy, et al.. (2025). Noninvasive Assessment of Arterial Wall and Soluble ST2 in Patients with Type 2 Diabetes and Coronary Artery Disease. International Journal of Molecular Sciences. 26(15). 7561–7561.
2.
3.
Rathmann, Wolfgang, et al.. (2023). Age at type 2 diabetes diagnosis among adults in Germany in 2014, 2019 and 2020. Acta Diabetologica. 60(11). 1591–1593. 2 indexed citations
4.
Lortz, Julia, et al.. (2023). Underutilization of guideline-recommended therapy in patients 80 years and older with peripheral artery diseases. VASA. 52(6). 379–385. 3 indexed citations
5.
Lortz, Julia, et al.. (2022). Gender Differences in Outpatient Peripheral Artery Disease Management in Germany: A Population Based Study 2009–2018. European Journal of Vascular and Endovascular Surgery. 63(5). 714–720. 21 indexed citations
6.
Lortz, Julia, et al.. (2022). Income-Related Peripheral Artery Disease Treatment: A Nation-Wide Analysis from 2009–2018. Journal of Cardiovascular Development and Disease. 9(11). 392–392. 4 indexed citations
7.
Köhler, Sabine, et al.. (2022). Mental, neurological, and somatic comorbidities and their treatment in persons with intellectual disability. Deutsches Ärzteblatt international. 119(24). 418–414. 4 indexed citations
8.
Rammos, Christos, Martin Steinmetz, Julia Lortz, et al.. (2021). Peripheral artery disease in Germany (2009–2018): Prevalence, frequency of specialized ambulatory care and use of guideline-recommended therapy – A population-based study. The Lancet Regional Health - Europe. 5. 100113–100113. 27 indexed citations
9.
Liese, Angela D., Michele Nichols, Philip B. Mellen, et al.. (2010). Food intake patterns associated with carotid artery atherosclerosis in the Insulin Resistance Atherosclerosis Study. British Journal Of Nutrition. 103(10). 1471–1479. 25 indexed citations
10.
11.
Drogan, Dagmar, Kurt Hoffmann, Mandy Schulz, et al.. (2007). A Food Pattern Predicting Prospective Weight Change Is Associated with Risk of Fatal but Not with Nonfatal Cardiovascular Disease ,. Journal of Nutrition. 137(8). 1961–1967. 17 indexed citations
12.
Liese, Angela D., et al.. (2006). Carbohydrate nutrition, glycaemic load, and plasma lipids: the Insulin Resistance Atherosclerosis Study. European Heart Journal. 28(1). 80–87. 20 indexed citations
13.
Mayer‐Davis, Elizabeth J., Ashish Dhawan, Angela D. Liese, Karen L. Teff, & Mandy Schulz. (2006). Towards understanding of glycaemic index and glycaemic load in habitual diet: associations with measures of glycaemia in the Insulin Resistance Atherosclerosis Study. British Journal Of Nutrition. 95(2). 397–405. 46 indexed citations
14.
Schulz, Mandy. (2006). Is the Association Between Dietary Glycemic Index and Type 2 Diabetes Modified by Waist Circumference?. Diabetes Care. 29(5). 1102–1104. 14 indexed citations
15.
Schulz, Mandy, Ute Nöthlings, Kurt Hoffmann, Manuela M. Bergmann, & Heiner Boeing. (2005). Identification of a Food Pattern Characterized by High-Fiber and Low-Fat Food Choices Associated with Low Prospective Weight Change in the EPIC-Potsdam Cohort. Journal of Nutrition. 135(5). 1183–1189. 96 indexed citations
16.
Schulz, Mandy, Angela D. Liese, Elizabeth J. Mayer‐Davis, et al.. (2005). Nutritional correlates of dietary glycaemic index: new aspects from a population perspective. British Journal Of Nutrition. 94(3). 397–406. 51 indexed citations
17.
Lahmann, Petra H., Mandy Schulz, Kurt Hoffmann, et al.. (2005). Long-term weight change and breast cancer risk: the European prospective investigation into cancer and nutrition (EPIC). British Journal of Cancer. 93(5). 582–589. 114 indexed citations
18.
Schulz, Mandy, et al.. (2003). Quantifizierung des Schienenbonus: Messung des Kundennutzens mittels Choice-Based-Conjoint-Analyse / Quantifying the Preference for Trains. 21(6). 1 indexed citations
19.
Schulz, Mandy, et al.. (2002). Food Groups as Predictors for Short-Term Weight Changes in Men and Women of the EPIC-Potsdam Cohort. Journal of Nutrition. 132(6). 1335–1340. 103 indexed citations
20.
Kroke, Anja, et al.. (2002). Recent weight changes and weight cycling as predictors of subsequent two year weight change in a middle-aged cohort. International Journal of Obesity. 26(3). 403–409. 99 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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