Ute Mons

11.5k total citations · 1 hit paper
147 papers, 3.3k citations indexed

About

Ute Mons is a scholar working on Physiology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Ute Mons has authored 147 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Physiology, 51 papers in Public Health, Environmental and Occupational Health and 31 papers in General Health Professions. Recurrent topics in Ute Mons's work include Smoking Behavior and Cessation (69 papers), Obesity, Physical Activity, Diet (29 papers) and Health and Medical Studies (19 papers). Ute Mons is often cited by papers focused on Smoking Behavior and Cessation (69 papers), Obesity, Physical Activity, Diet (29 papers) and Health and Medical Studies (19 papers). Ute Mons collaborates with scholars based in Germany, Canada and United Kingdom. Ute Mons's co-authors include Hermann Brenner, Laura Perna, Bernd Holleczek, Kai-Uwe Saum, Yan Zhang, Ben Schöttker, Marc C. Willemsen, Martina Pötschke-Langer, Geoffrey T. Fong and Thomas Gredner and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and Environmental Health Perspectives.

In The Last Decade

Ute Mons

138 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort

2016 395 citations Laura Perna, Ute Mons et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Mons Germany	31	1.6k	687	554	413	375	147	3.3k
Charlotta Pisinger Denmark	40	2.0k 1.2×	1.4k 2.0×	340 0.6×	716 1.7×	297 0.8×	136	5.0k
Hongying Dai United States	33	1.5k 0.9×	702 1.0×	543 1.0×	208 0.5×	234 0.6×	187	3.5k
Brian L. Rostron United States	28	2.5k 1.5×	1.2k 1.8×	274 0.5×	411 1.0×	515 1.4×	55	3.7k
Yao He China	33	977 0.6×	704 1.0×	376 0.7×	314 0.8×	286 0.8×	254	3.9k
Catherine Corey United States	33	2.8k 1.7×	1.2k 1.8×	774 1.4×	219 0.5×	475 1.3×	64	4.6k
Sean Hu United States	10	2.6k 1.6×	1.1k 1.6×	230 0.4×	488 1.2×	380 1.0×	19	3.7k
Ian Pagano United States	35	1.4k 0.9×	950 1.4×	544 1.0×	262 0.6×	298 0.8×	147	4.7k
Tim McAfee United States	32	3.3k 2.0×	1.3k 1.9×	446 0.8×	782 1.9×	365 1.0×	65	4.7k
Office on Smoking	7	1.1k 0.7×	482 0.7×	192 0.3×	326 0.8×	225 0.6×	11	2.1k
Ann Malarcher United States	40	2.9k 1.8×	1.4k 2.1×	315 0.6×	957 2.3×	396 1.1×	103	5.5k

Countries citing papers authored by Ute Mons

Since Specialization

Citations

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

Fields of papers citing papers by Ute Mons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Mons

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

All Works

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20 of 20 papers shown

Pfister, Roman, et al.. (2024). Endomyocardial biopsy in patients with myocarditis—still justified in the CMR era? A single-centre experience. Clinical Research in Cardiology. 1 indexed citations

Mons, Ute, et al.. (2024). Alkohol- und Tabakkonsum in der Schwangerschaft. SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice. 70(5). 285–292.

Görig, Tatiana, et al.. (2024). Understanding e-Cigarette Addictiveness: Triangulation of Focus Group and Netnographic Data. Journal of Medical Internet Research. 26. e57970–e57970.

Yong, Hua‐Hie, Ron Borland, Ann McNeill, et al.. (2024). Does perceived vaping addiction predict subsequent vaping cessation behaviour among adults who use nicotine vaping products regularly?. Addictive Behaviors. 160. 108172–108172. 1 indexed citations

Crutzen, Rik, Norbert Donner‐Banzhoff, Andrea Icks, et al.. (2024). Optimising the treatment of chronic ischemic heart disease by training general practitioners to deliver very brief advice on physical activity (OptiCor): protocol of the systematic development and evaluation of a complex intervention. BMC Primary Care. 25(1). 404–404. 2 indexed citations

Lohner, Valerie, Ann McNeill, Sven Schneider, et al.. (2023). Understanding perceived addiction to and addictiveness of electronic cigarettes among electronic cigarette users: a cross‐sectional analysis of the International Tobacco Control Smoking and Vaping (ITC 4CV) England Survey. Addiction. 118(7). 1359–1369. 10 indexed citations

Perna, Laura, Ute Mons, Hannah Stocker, et al.. (2023). High cholesterol levels change the association of biomarkers of neurodegenerative diseases with dementia risk: Findings from a population‐based cohort. Alzheimer s & Dementia. 19(7). 2913–2922. 5 indexed citations

Görig, Tatiana, et al.. (2023). Addictive Potential of e-Cigarettes as Reported in e-Cigarette Online Forums: Netnographic Analysis of Subjective Experiences. Journal of Medical Internet Research. 25. e41669–e41669. 7 indexed citations

Batra, Anil, Falk Kiefer, Stefan Andreas, et al.. (2022). S3 Guideline “Smoking and Tobacco Dependence: Screening, Diagnosis, and Treatment” – Short Version. European Addiction Research. 28(5). 382–400. 9 indexed citations

10.

Willemsen, Marc C., Ute Mons, & Esteve Fernández. (2022). Tobacco control in Europe: progress and key challenges. Tobacco Control. 31(2). 160–163. 20 indexed citations

11.

Nogueira, Sarah O, Pete Driezen, Marcela Fu, et al.. (2021). Beyond the European Union Tobacco Products Directive: smokers’ and recent quitters’ support for further tobacco control measures (2016–2018). Tobacco Control. 31(6). 765–769. 9 indexed citations

12.

Vollstädt‐Klein, Sabine, et al.. (2021). Study protocol: evaluation of the addictive potential of e-cigarettes (EVAPE): neurobiological, sociological, and epidemiological perspectives. BMC Psychology. 9(1). 181–181. 5 indexed citations

13.

Ramadori, Pierluigi, et al.. (2021). Solving problems is smart, preventing them is wise: Lessons learned from the 2nd International DKFZ Conference on Cancer Prevention. International Journal of Cancer. 148(12). 3086–3096. 2 indexed citations

14.

Girvalaki, Charis, Filippos T Filippidis, Christina N Kyriakos, et al.. (2020). Perceptions, Predictors of and Motivation for Quitting among Smokers from Six European Countries from 2016 to 2018: Findings from EUREST-PLUS ITC Europe Surveys. International Journal of Environmental Research and Public Health. 17(17). 6263–6263. 13 indexed citations

15.

Herbeć, Aleksandra, Mateusz Zatoński, Witold Zatoński, et al.. (2019). Dependence, plans to quit, quitting self-efficacy and past cessation behaviours among menthol and other flavoured cigarette users in Europe: The EUREST-PLUS ITC Europe Surveys. UCL Discovery (University College London).

16.

Tigova, Olena, Beladenta Amalia, Yolanda Castellano, et al.. (2019). Secondhand exposure to e-cigarette aerosols among smokers:A cross-sectional study in six European countries of theEUREST-PLUS ITC Europe Surveys. Tobacco Induced Diseases. 16(2). A11–A11. 10 indexed citations

17.

East, Katherine, Sara C Hitchman, Máirtín S. McDermott, et al.. (2019). Social norms towards smoking and electronic cigarettesamong adult smokers in seven European Countries: Findingsfrom the EUREST-PLUS ITC Europe Surveys. Tobacco Induced Diseases. 16(2). A15–A15. 11 indexed citations

18.

Mons, Ute, et al.. (2018). E-Zigaretten: gesundheitliche Bewertung und potenzieller Nutzen für Raucher. Pneumologie. 72(6). 458–472. 1 indexed citations

19.

Brinker, Titus J., Stefan Eßer, Joachim Klode, et al.. (2018). A Face-Aging App for Smoking Cessation in a Waiting Room Setting: Pilot Study in an HIV Outpatient Clinic. Journal of Medical Internet Research. 20(8). e10976–e10976. 14 indexed citations

20.

Mons, Ute & Martina Pötschke-Langer. (2010). [Tobacco control politics in Germany. Evidence, success, and barriers].. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 53(2). 144–51. 8 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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