Ute Mons

11.5k citations
147 papers · 3.3k · 1 hit paper · h-index 31

Impact in

Papers in

Ute Mons

138 papers receiving 3.2k citations

Ute Mons's Hit Papers

Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort 2016 · 395 citations
3950+3+6Years since publication100200300

Peers

Ute Mons
Comparison fields: 5 of 153
  • Physiology 1.6k
  • Aging 88
  • Applied Psychology 255
  • Speech and Hearing 219
  • Health, Toxicology and Mutagenesis 375
Replace Yao He with:
Yao He China
Gerdi Weidner United States
Bernt Lindahl Sweden
Sally Freels United States
Sharon B. Wyatt United States
Rafael Lantigua United States
Catherine Corey United States
Candyce H. Kroenke United States
Min Zhao China
Leandro F. M. Rezende Brazil
Ute Mons relative to Yao He China Yao He's profile →
Citations per field
00.5×4.3×
Yao He · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ute Mons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ute Mons Line = papers co-authored together Ute Mons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort
Hit paper breakdown →
2016395
2 2018147
3 2014121
4 2012120
5 201397
6 201492
7 201591
8 201191
9 201687
10 201360
11 201857
12 201851
13 201850
14 201348
15 201246
16 201145
17 201044
18 201743
19 201541
20 200940

About Ute Mons

Ute Mons is a scholar working on Physiology, Public Health, Environmental and Occupational Health, General Health Professions, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis, having authored 147 papers that have together received 3.3k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (69 papers), Obesity, Physical Activity, Diet (29 papers), Health and Medical Studies (19 papers), Health Promotion and Cardiovascular Prevention (16 papers), Nutritional Studies and Diet (12 papers), Global Public Health Policies and Epidemiology (11 papers), Air Quality and Health Impacts (11 papers) and School Health and Nursing Education (9 papers). The work is most often cited by research in Physiology (1.6k citations), Aging (88 citations), Applied Psychology (255 citations), Speech and Hearing (219 citations) and Health, Toxicology and Mutagenesis (375 citations). Ute Mons has collaborated with scholars based in Germany, Canada and United Kingdom. Frequent 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. Their work appears in journals such as Tobacco Induced Diseases, Tobacco Control, European Journal of Public Health, Addiction and Experimental Gerontology.

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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