Daniel Strech

4.4k citations
157 papers · 2.8k · h-index 29

Impact in

Papers in

Daniel Strech

150 papers receiving 2.7k citations

Peers

Daniel Strech
Comparison fields: 5 of 164
  • General Health Professions 875
  • Health Informatics 43
  • Public Health, Environmental and Occupational Health 817
  • Statistics, Probability and Uncertainty 206
  • Small Animals 133
Replace Kenneth Getz with:
Kenneth Getz United States
Deborah A. Zarin United States
David Wendler United States
Elizabeth Wager United Kingdom
Matt Vassar United States
Eric M. Meslin United States
Nikola Biller‐Andorno Switzerland
James M. DuBois United States
Quinn Grundy Canada
Kevin McGeechan Australia
Daniel Strech relative to Kenneth Getz United States Kenneth Getz's profile →
Citations per field
00.5×10×13.3×
Kenneth Getz · 1×
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 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011126
2 2013108
3 201697
4 200895
5 201892
6 201571
7 201070
8 201170
9 200865
10 201864
11 201760
12 201359
13 200859
14 201158
15 201657
16 201956
17 201253
18 201849
19 200849
20 201546

About Daniel Strech

Daniel Strech is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Economics and Econometrics, Statistics, Probability and Uncertainty and Physiology, having authored 157 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ethics in Clinical Research (41 papers), Health Systems, Economic Evaluations, Quality of Life (25 papers), Healthcare cost, quality, practices (20 papers), Ethics in medical practice (19 papers), Meta-analysis and systematic reviews (16 papers), Biomedical Ethics and Regulation (13 papers), Clinical practice guidelines implementation (10 papers) and Animal testing and alternatives (10 papers). The work is most often cited by research in General Health Professions (875 citations), Health Informatics (43 citations), Public Health, Environmental and Occupational Health (817 citations), Statistics, Probability and Uncertainty (206 citations) and Small Animals (133 citations). Daniel Strech has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Neema Sofaer, Georg Marckmann, Hannes Kahrass, Marcel Mertz, Sabine Bossert, Matthis Synofzik, Susanne Wieschowski, Ulrich Dirnagl, Verina Wild and Marion Danis. Their work appears in journals such as PLoS ONE, BMC Medical Ethics, PLoS Biology, BMJ Open and Journal of Clinical Epidemiology.

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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