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.
GBD 2010: design, definitions, and metrics
2012777 citationsChristopher J L Murray, Majid Ezzati et al.The Lancetprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Daniel Wikler'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 Wikler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wikler more than expected).
This network shows the impact of papers produced by Daniel Wikler. 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 Wikler. The network helps show where Daniel Wikler may publish in the future.
Co-authorship network of co-authors of Daniel Wikler
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wikler.
A scholar is included among the top collaborators of Daniel Wikler 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 Daniel Wikler. Daniel Wikler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bain, Luchuo Engelbert, Shannon A. McMahon, Malabika Sarker, et al.. (2022). One lesson of COVID-19: Conduct more health policy trials. Proceedings of the National Academy of Sciences. 119(24). e2119887119–e2119887119.5 indexed citations
Eyal, Nir, Samia Hurst, Christopher J L Murray, S. Andrew Schroeder, & Daniel Wikler. (2020). Measuring the Global Burden of Disease: Philosophical Dimensions.7 indexed citations
Cash, Richard A., et al.. (2014). Estudios de casos sobre ética de la investigación internacional en salud.2 indexed citations
9.
Eyal, Nir, Samia Hurst, Ole Frithjof Norheim, & Daniel Wikler. (2013). Inequalities in Health. Oxford University Press eBooks.44 indexed citations
10.
Murray, Christopher J L, Majid Ezzati, Abraham D Flaxman, et al.. (2012). GBD 2010: design, definitions, and metrics. The Lancet. 380(9859). 2063–2066.777 indexed citations breakdown →
11.
Cash, Richard A., et al.. (2009). Casebook on Ethical Issues in International Health Research. World Health Organization eBooks.9 indexed citations
Wikler, Daniel, et al.. (2007). Unconditional compensation: reducing the costs of disagreement about compensation for research subjects.. PubMed. 13(1). 6–16.5 indexed citations
14.
Buchanan, Allen, et al.. (2002). Book Reviews-From Chance to Choice--Genetics and Justice. Journal of Medical Ethics.1 indexed citations
15.
Wikler, Daniel, et al.. (1998). Class, Health, and Justice. Milbank Quarterly. 76(3). 449–467.57 indexed citations
Wikler, Daniel. (1979). Paternalism and the mildly retarded. Philosophy & Public Affairs. 8(4).39 indexed citations
20.
Wikler, Daniel. (1975). The Sick Role and the Role of the Physician Reconsidered. Milbank Quarterly. 53(3). 257–278.31 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.