Geoffrey Childs

1.7k citations
21 papers · 1.3k indexed · h-index 15
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3
    • Cancer-related gene regulation 4
    • Gene expression and cancer classification 4
    • Molecular Biology Techniques and Applications 3
    • Bioinformatics and Genomic Networks 3
    • Signaling Pathways in Disease 3
    • Circular RNAs in diseases 3

Geoffrey Childs

21 papers receiving 1.3k citations

Peers

Geoffrey Childs
Comparison fields: 5 of 108
  • Cancer Research 451
  • Otorhinolaryngology 68
  • Molecular Biology 1.0k
  • Oncology 142
  • Reproductive Medicine 36
Replace Darawalee Wangsa with:
Darawalee Wangsa United States
Mieke E.R. Henfling Netherlands
William K. Dahlberg United States
Arshi Rizwan India
Daria A. Gaykalova United States
Victoria J. Heath United Kingdom
Jennifer M. Spangle United States
R L Strausberg United States
N Pourreau-Schneider France
Else Driehuis Netherlands
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Citations per field
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Darawalee Wangsa · 1×
Citations per year

Countries citing papers authored by Geoffrey Childs

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Childs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202020
2 201925
3 201714
4 201517
5 20156
6 201371
7 201294
8 201234
9 200944
10 2009281
11 200730
12 20059
13 200429
14 200428
15 20047
16 200327
17 200251
18 1999489
19 199821
20 198811

About Geoffrey Childs

Geoffrey Childs is a scholar working on Cancer Research, Otorhinolaryngology and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Gene expression and cancer classification (4 papers), Molecular Biology Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), MicroRNA in disease regulation (3 papers), Signaling Pathways in Disease (3 papers), Circular RNAs in diseases (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (451 citations), Otorhinolaryngology (68 citations) and Molecular Biology (1.0k citations). Geoffrey Childs has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Aldo Massimi, Francisco Aguilar, Vivian G. Cheung, Raju Kucherlapati, Michael P. Morley, Michael B. Prystowsky, Thomas J. Belbin, Nicolas F. Schlecht, Richard V. Smith and Nicole Kawachi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

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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