Peter Childs

750 citations
24 papers · 488 · h-index 14

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Bone Tissue Engineering Materials
    • 3D Printing in Biomedical Research
    • Microfluidic and Bio-sensing Technologies

Papers in

Peter Childs

23 papers receiving 480 citations

Peers

Peter Childs
Comparison fields: 5 of 66
  • Cell Biology 140
  • Biomedical Engineering 285
  • Biomaterials 62
  • Genetics 37
  • Orthopedics and Sports Medicine 25
Replace Bryan A. Sutermaster with:
Bryan A. Sutermaster United States
Nick R. M. Beijer Netherlands
Hannah Donnelly United Kingdom
Ana Sala Switzerland
Gregory Yourek United States
Pattie S. Mathieu United States
Thomas E. Whittaker United Kingdom
Su-Jin Heo South Korea
Matthew D. Treiser United States
Thuy U. Luu United States
Peter Childs relative to Bryan A. Sutermaster United States Bryan A. Sutermaster's profile →
Citations per field
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Bryan A. Sutermaster · 1×
Citations per year

Countries citing papers authored by Peter Childs

Since Specialization
Citations

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

Fields of papers citing papers by Peter Childs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201864
3 202045
4 202135
5 202131
6 201529
7 201827
8 201527
9 202020
10 202018
11 202317
12 201916
13 201614
14 202313
15 195111
16 20219
17 20196
18 20255
19 20234
20 20244

About Peter Childs

Peter Childs is a scholar working on Cell Biology, Biomedical Engineering, Surgery, Molecular Biology and Epidemiology, having authored 24 papers that have together received 488 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Bone Tissue Engineering Materials (7 papers), 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Bone Metabolism and Diseases (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Bone fractures and treatments (3 papers) and Planarian Biology and Electrostimulation (2 papers). The work is most often cited by research in Cell Biology (140 citations), Biomedical Engineering (285 citations), Biomaterials (62 citations), Genetics (37 citations) and Orthopedics and Sports Medicine (25 citations). Peter Childs has collaborated with scholars based in United Kingdom, Ireland and Spain. Frequent co-authors include Matthew J. Dalby, Manuel Salmerón‐Sánchez, S. Reid, Vineetha Jayawarna, Adam Curtis, Penelope M. Tsimbouri, Paul Campsie, Manus Biggs, Cristina González‐García and Habib Nikukar. Their work appears in journals such as Advanced Science, ACS Nano, Scientific Reports, npj Regenerative Medicine and Advanced Materials.

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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