Hans W. Hense

1.4k total citations
27 papers, 788 citations indexed

About

Hans W. Hense is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hans W. Hense has authored 27 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hans W. Hense's work include Global Cancer Incidence and Screening (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Health and Medical Studies (3 papers). Hans W. Hense is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Health and Medical Studies (3 papers). Hans W. Hense collaborates with scholars based in Germany, Switzerland and United Kingdom. Hans W. Hense's co-authors include Ulrich Keil, Hannelore Neuhauser, Angelika Schaffrath Rosario, Michael Thamm, Ute Ellert, Daniel Pauleikhoff, Manfred Fobker, B. Heimes, M. Trieschmann and John M. Nolan and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Hans W. Hense

27 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans W. Hense Germany 14 246 186 154 135 117 27 788
Antonio J. Amor Spain 17 231 0.9× 45 0.2× 30 0.2× 59 0.4× 92 0.8× 74 898
K. G. Stanton Australia 14 307 1.2× 25 0.1× 53 0.3× 77 0.6× 55 0.5× 24 942
J Rapola Finland 15 271 1.1× 614 3.3× 20 0.1× 470 3.5× 231 2.0× 41 1.5k
Youbao Li China 19 172 0.7× 36 0.2× 16 0.1× 107 0.8× 100 0.9× 56 1.1k
Matthew J. Sorrentino United States 17 444 1.8× 25 0.1× 21 0.1× 49 0.4× 93 0.8× 43 1.1k
Kazuhiko Hirobe Russia 17 516 2.1× 41 0.2× 26 0.2× 99 0.7× 141 1.2× 42 1.6k
M. H. Cummings United Kingdom 15 227 0.9× 94 0.5× 13 0.1× 28 0.2× 44 0.4× 36 931
Margarita Torres‐Tamayo Mexico 14 292 1.2× 11 0.1× 34 0.2× 85 0.6× 182 1.6× 50 969
Dragan Lović Serbia 14 360 1.5× 15 0.1× 27 0.2× 63 0.5× 67 0.6× 57 868
Catharina M. C. Mels South Africa 17 432 1.8× 16 0.1× 18 0.1× 153 1.1× 109 0.9× 107 944

Countries citing papers authored by Hans W. Hense

Since Specialization
Citations

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

Fields of papers citing papers by Hans W. Hense

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans W. Hense. 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 Hans W. Hense. The network helps show where Hans W. Hense may publish in the future.

Co-authorship network of co-authors of Hans W. Hense

This figure shows the co-authorship network connecting the top 25 collaborators of Hans W. Hense. A scholar is included among the top collaborators of Hans W. Hense 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 Hans W. Hense. Hans W. Hense 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.
Weigel, Stefanie, et al.. (2020). Stratification of Breast Cancer Risk in Terms of the Influence of Age and Mammographic density. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 192(7). 678–685. 6 indexed citations
3.
Heesterbeek, Thomas J., Eiko K. de Jong, İlhan E. Acar, et al.. (2019). Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration. Scientific Reports. 9(1). 6611–6611. 17 indexed citations
4.
Berkemeyer, Shoma, et al.. (2016). Incidence and Mortality Trends in German Women with Breast Cancer Using Age, Period and Cohort 1999 to 2008. PLoS ONE. 11(3). e0150723–e0150723. 7 indexed citations
5.
Weigel, Stefanie, Hans W. Hense, Jan Heidrich, et al.. (2015). Digital Mammography Screening: Does Age Influence the Detection Rates of Low-, Intermediate-, and High-Grade Ductal Carcinoma in Situ?. Radiology. 278(3). 707–713. 13 indexed citations
6.
Wirth, Janine, Brian Buijsse, Romina di Giuseppe, et al.. (2014). Relationship between N-Terminal Pro-Brain Natriuretic Peptide, Obesity and the Risk of Heart Failure in Middle-Aged German Adults. PLoS ONE. 9(11). e113710–e113710. 15 indexed citations
7.
Weigel, Stefanie, Walter Heindel, Oliver Heidinger, Shoma Berkemeyer, & Hans W. Hense. (2013). Digital Mammography Screening: Association between Detection Rate and Nuclear Grade of Ductal Carcinoma in Situ. Radiology. 271(1). 38–44. 21 indexed citations
8.
Zeimer, Meike, et al.. (2012). Profiles of Macular Pigment Optical Density and Their Changes Following Supplemental Lutein and Zeaxanthin: New Results from the LUNA Study. Investigative Ophthalmology & Visual Science. 53(8). 4852–4852. 21 indexed citations
10.
Trieschmann, M., Stephen Beatty, John M. Nolan, et al.. (2006). Changes in macular pigment optical density and serum concentrations of its constituent carotenoids following supplemental lutein and zeaxanthin: The LUNA study. Experimental Eye Research. 84(4). 718–728. 162 indexed citations
11.
Hense, Hans W.. (2006). The trade-off between population and individual benefit of screening.. PubMed. 100(7). 505–13. 1 indexed citations
12.
Kuch, Bernhard, et al.. (2004). Short‐Period Heart Rate Variability in the General Population as Compared to Patients with Acute Myocardial Infarction from the Same Source Population. Annals of Noninvasive Electrocardiology. 9(2). 113–120. 14 indexed citations
13.
Kuch, Bernhard, Martin Bobák, Manfred Fobker, et al.. (2001). Associations Between Homocysteine and Coagulation Factors — A Cross-Sectional Study in Two Populations of Central Europe. Thrombosis Research. 103(4). 265–273. 23 indexed citations
14.
Gasse, Christiane, Jutta Stieber, Angela Döring, Ulrich Keil, & Hans W. Hense. (1999). Population Trends in Antihypertensive Drug Use. Journal of Clinical Epidemiology. 52(7). 695–703. 18 indexed citations
15.
Hense, Hans W., et al.. (1996). Prevalence of left ventricular dysfunction in the general population. Journal of the American College of Cardiology. 27(2). 25–25. 5 indexed citations
16.
Hense, Hans W., Birgit Filipiak, & Ulrich Keil. (1993). The Association of Blood Lead and Blood Pressure in Population Surveys. Epidemiology. 4(2). 173–179. 22 indexed citations
17.
Hense, Hans W., Jutta Stieber, Birgit Filipiak, & Ulrich Keil. (1993). Five-year changes in population blood pressure and hypertension prevalence. Annals of Epidemiology. 3(4). 410–416. 19 indexed citations
18.
Hense, Hans W., Angela Döring, Jutta Stieber, & Ulrich Keil. (1992). The association of antihypertensive treatment patterns and adverse lipid effects in population-based studies. Journal of Clinical Epidemiology. 45(12). 1423–1430. 11 indexed citations
19.
Weiland, Stephan K., et al.. (1991). Diagnosis and management of hypertension by physicians in the Federal Republic of Germany. Journal of Hypertension. 9(2). 131–134. 13 indexed citations
20.
Keil, Ulrich, Hans W. Hense, & Jutta Stieber. (1985). Screening for hypertension: Results of the Munich blood pressure program. Preventive Medicine. 14(4). 519–531. 5 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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