Daniel Strech

159 papers receiving 3k citations

Peers

Daniel Strech
Comparison fields: 5 of 134
  • Statistics, Probability and Uncertainty 364
  • Public Health, Environmental and Occupational Health 1.2k
  • General Health Professions 676
  • Information Systems and Management 233
  • Health Informatics 58
Replace Kenneth A. Getz with:
Kenneth A. Getz United States
Izet Mašić Bosnia and Herzegovina
Elizabeth Wager United Kingdom
Deborah A. Zarin United States
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Patrina H. Y. Caldwell Australia
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Citations per year

Countries citing papers authored by Daniel Strech

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Strech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Strech, 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 Daniel Strech Line = papers co-authored together Daniel Strech links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011130
2 2013118
3 2018108
4 2008101
5 201699
6 201175
7 201575
8 201874
9 201071
10 200865
11 201764
12 201162
13 201962
14 200860
15 201660
16 201359
17 201855
18 200854
19 201254
20 201550

About Daniel Strech

Daniel Strech is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, General Health Professions, Information Systems and Management and Pharmacology, having authored 167 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ethics in Clinical Research (47 papers), Meta-analysis and systematic reviews (41 papers), Ethics and bioethics in healthcare (39 papers), Academic Publishing and Open Access (21 papers), Pharmaceutical industry and healthcare (19 papers), Biomedical Ethics and Regulation (12 papers), Animal testing and alternatives (12 papers) and Health Systems, Economic Evaluations, Quality of Life (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (364 citations), Public Health, Environmental and Occupational Health (1.2k citations), General Health Professions (676 citations), Information Systems and Management (233 citations) and Health Informatics (58 citations). Daniel Strech has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Neema Sofaer, Hannes Kahrass, Georg Marckmann, Marcel Mertz, Matthis Synofzik, Susanne Wieschowski, Ulrich Dirnagl, Verina Wild, Marion Danis and Jon Charles Tilburt. Their work appears in journals such as PLoS ONE, BMC Medical Ethics, Journal of Clinical Epidemiology, BMJ Open and PLoS Biology.

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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