Daniel Mauss

1.1k total citations
27 papers, 778 citations indexed

About

Daniel Mauss is a scholar working on General Health Professions, Social Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Mauss has authored 27 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 9 papers in Social Psychology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Mauss's work include Workplace Health and Well-being (18 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers) and Employment and Welfare Studies (6 papers). Daniel Mauss is often cited by papers focused on Workplace Health and Well-being (18 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (6 papers) and Employment and Welfare Studies (6 papers). Daniel Mauss collaborates with scholars based in Germany, United States and Netherlands. Daniel Mauss's co-authors include Marc N. Jarczok, Joachim E. Fischer, Jian Li, Julian F. Thayer, Julian Koenig, Raphael M. Herr, Peter Angerer, Burkhard Schmidt, Jos A. Bosch and Adrian Loerbroks and has published in prestigious journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and International Journal of Environmental Research and Public Health.

In The Last Decade

Daniel Mauss

26 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Mauss Germany 15 302 294 122 115 109 27 778
Carol A. Dolan United States 10 107 0.4× 321 1.1× 134 1.1× 179 1.6× 94 0.9× 14 750
Nicolas J. C. Stapelberg Australia 14 87 0.3× 193 0.7× 113 0.9× 116 1.0× 81 0.7× 36 649
Susan M. Hedges United States 10 87 0.3× 315 1.1× 147 1.2× 62 0.5× 139 1.3× 15 740
Susana Vale Portugal 27 405 1.3× 224 0.8× 53 0.4× 17 0.1× 74 0.7× 73 2.0k
Sisitha Jayasinghe Australia 13 97 0.3× 146 0.5× 84 0.7× 169 1.5× 66 0.6× 49 679
Marnie Dobson United States 15 486 1.6× 92 0.3× 171 1.4× 18 0.2× 171 1.6× 25 964
Sandra L. Ramey United States 16 180 0.6× 96 0.3× 59 0.5× 26 0.2× 95 0.9× 27 650
Nicola J. Paine United Kingdom 14 71 0.2× 154 0.5× 95 0.8× 70 0.6× 75 0.7× 42 487
Mandy X. Hu Netherlands 10 65 0.2× 140 0.5× 59 0.5× 52 0.5× 80 0.7× 18 449
Romano Endrighi United States 13 160 0.5× 145 0.5× 109 0.9× 139 1.2× 106 1.0× 28 742

Countries citing papers authored by Daniel Mauss

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mauss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mauss

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mauss. A scholar is included among the top collaborators of Daniel Mauss 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 Daniel Mauss. Daniel Mauss 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.
Mauss, Daniel & Marc N. Jarczok. (2021). The streamlined allostatic load index is associated with perceived stress in life – findings from the MIDUS study. Stress. 24(4). 404–412. 19 indexed citations
3.
Jarczok, Marc N., Thomas Buckley, Harald Guendel, et al.. (2021). 24 h-Heart Rate Variability as a Communication Tool for a Personalized Psychosomatic Consultation in Occupational Health. Frontiers in Neuroscience. 15. 600865–600865. 10 indexed citations
6.
Mauss, Daniel, et al.. (2020). The association of cortisol levels with leukocyte distribution is disrupted in the metabolic syndrome. Obesity Research & Clinical Practice. 15(1). 78–84. 6 indexed citations
7.
Allwang, Christine, Birgitt Marten‐Mittag, Andreas Dinkel, Daniel Mauss, & Claas Lahmann. (2020). Effectiveness of a Brief Psychotherapeutic Intervention for Employees With Psychosomatic and Psychosocial Complaints—Pilot Study of a Consultation Off the Workplace. Frontiers in Psychiatry. 11. 867–867. 1 indexed citations
8.
Mauss, Daniel, Raphael M. Herr, Töres Theorell, Peter Angerer, & Jian Li. (2018). Validating the Demand Control Support Questionnaire among white-collar employees in Switzerland and the United States. Journal of Occupational Medicine and Toxicology. 13(1). 7–7. 28 indexed citations
9.
10.
Mauss, Daniel, Marc N. Jarczok, & Joachim E. Fischer. (2016). Daily commuting to work is not associated with variables of health. Journal of Occupational Medicine and Toxicology. 11(1). 12–12. 12 indexed citations
11.
Mauss, Daniel, Marc N. Jarczok, & Joachim E. Fischer. (2016). The streamlined Allostatic Load Index: a replication of study results. Stress. 19(6). 553–558. 31 indexed citations
12.
Mauss, Daniel, Marc N. Jarczok, Kristina Hoffmann, G. Neil Thomas, & Joachim E. Fischer. (2015). Association of Vitamin D Levels with Type 2 Diabetes in Older Working Adults. International Journal of Medical Sciences. 12(5). 362–368. 30 indexed citations
13.
Mauss, Daniel, Marc N. Jarczok, & Joachim E. Fischer. (2015). A streamlined approach for assessing the Allostatic Load Index in industrial employees. Stress. 18(4). 475–483. 31 indexed citations
14.
Jarczok, Marc N., Julian Koenig, Daniel Mauss, Joachim E. Fischer, & Julian F. Thayer. (2014). Lower heart rate variability predicts increased level of C‐reactive protein 4 years later in healthy, nonsmoking adults. Journal of Internal Medicine. 276(6). 667–671. 59 indexed citations
15.
Jarczok, Marc N., Daniel Mauss, Julian Koenig, et al.. (2013). Autonomic nervous system activity and workplace stressors—A systematic review. Neuroscience & Biobehavioral Reviews. 37(8). 1810–1823. 171 indexed citations
16.
Schmidt, Burkhard, Adrian Loerbroks, Raphael M. Herr, et al.. (2013). Associations Between Supportive Leadership and Employees Self-Rated Health in an Occupational Sample. International Journal of Behavioral Medicine. 21(5). 750–756. 29 indexed citations
17.
Jarczok, Marc N., Jian Li, Daniel Mauss, Joachim E. Fischer, & Julian F. Thayer. (2012). Heart Rate Variability is Associated with Glycemic Status After Controlling for Components of the Metabolic Syndrome. International Journal of Cardiology. 167(3). 855–861. 66 indexed citations
19.
Li, Jian, Marc N. Jarczok, Adrian Loerbroks, et al.. (2012). Work Stress is Associated with Diabetes and Prediabetes: Cross-Sectional Results from the MIPH Industrial Cohort Studies. International Journal of Behavioral Medicine. 20(4). 495–503. 41 indexed citations
20.
Li, Jian, Adrian Loerbroks, Marc N. Jarczok, et al.. (2012). Psychometric properties and differential explanation of a short measure of effort–reward imbalance at work: A study of industrial workers in Germany. American Journal of Industrial Medicine. 55(9). 808–815. 34 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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