Ben Williams

1.2k citations
9 papers · 769 indexed · 1 hit paper · h-index 6

Ben Williams

8 papers receiving 740 citations

Hit Papers

Quantification of biological aging in young adults20152026201820222015200400600

Peers

Ben Williams
Comparison fields: 5 of 119
  • Physiology 215
  • Molecular Biology 161
  • Aging 123
  • Pediatrics, Perinatology and Child Health 116
  • Health, Toxicology and Mutagenesis 105
Replace Véronique Legault with:
Véronique Legault Canada
Troels Steenstrup Denmark
Adele Taylor United Kingdom
Albert Higgins‐Chen United States
Jo Wrigglesworth Australia
Pei-Lun Kuo United States
Peter Fransquet Australia
Dellara F. Terry United States
Gary A. Borkan United States
Harold Bae United States
Ben Williams relative to Véronique Legault Canada Véronique Legault's profile →
Citations per field
00.5×4.5×
Véronique Legault · 1×
Citations per year

Countries citing papers authored by Ben Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ben Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Williams. A scholar is included among the top collaborators of Ben Williams 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 Ben Williams. Ben Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 9
2 4
3 31
4
A retrospective analysis of calcium levels in pediatric trauma patients.
5
5 49
6
Quantification of biological aging in young adultsbreakdown →
626
7 1
8 1
9 43

About Ben Williams

Ben Williams is a scholar working on Aging, Nephrology and Behavioral Neuroscience, having authored 9 papers that have together received 769 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Birth, Development, and Health (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Aging (123 citations), Neuropsychology and Physiological Psychology (33 citations) and Geriatrics and Gerontology (83 citations). Ben Williams has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Karen Sugden, Terrie E. Moffitt, Avshalom Caspi, Andrea Danese, David L. Corcoran, Renate Houts, Richie Poulton, Daniel W. Belsky, Anatoli I. Yashin and HonaLee Harrington. Their work appears in journals such as Proceedings of the National Academy of Sciences, Critical Care Medicine and BMC Bioinformatics.

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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