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.
Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders
20112.7k citationsDarren J. Baker, Tobias Wijshake et al.Natureprofile →
Citations per year, relative to Bennett G. Childs Bennett G. Childs (= 1×)
peers
Diana Jurk
Countries citing papers authored by Bennett G. Childs
Since
Specialization
Citations
This map shows the geographic impact of Bennett G. Childs'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 Bennett G. Childs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bennett G. Childs more than expected).
Fields of papers citing papers by Bennett G. Childs
This network shows the impact of papers produced by Bennett G. Childs. 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 Bennett G. Childs. The network helps show where Bennett G. Childs may publish in the future.
Co-authorship network of co-authors of Bennett G. Childs
This figure shows the co-authorship network connecting the top 25 collaborators of Bennett G. Childs.
A scholar is included among the top collaborators of Bennett G. Childs 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 Bennett G. Childs. Bennett G. Childs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Childs, Bennett G., et al.. (2017). Senescent cells: an emerging target for diseases of ageing. Nature Reviews Drug Discovery. 16(10). 718–735.888 indexed citations breakdown →
6.
Childs, Bennett G., Darren J. Baker, Tobias Wijshake, et al.. (2016). Senescent intimal foam cells are deleterious at all stages of atherosclerosis. Science. 354(6311). 472–477.857 indexed citations breakdown →
7.
Baker, Darren J., Bennett G. Childs, Matej Durik, et al.. (2016). Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature. 530(7589). 184–189.1984 indexed citations breakdown →
8.
Childs, Bennett G., Matej Durik, Darren J. Baker, & Jan M. van Deursen. (2015). Cellular senescence in aging and age-related disease: from mechanisms to therapy. Nature Medicine. 21(12). 1424–1435.1670 indexed citations breakdown →
Childs, Bennett G., Darren J. Baker, James L. Kirkland, Judith Campisi, & Jan M. van Deursen. (2014). Senescence and apoptosis: dueling or complementary cell fates?. EMBO Reports. 15(11). 1139–1153.650 indexed citations breakdown →
12.
Baker, Darren J., Tobias Wijshake, Tamar Tchkonia, et al.. (2011). Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders. Nature. 479(7372). 232–236.2693 indexed citations breakdown →
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.