C. Wells

24 papers receiving 674 citations

Peers

C. Wells
Comparison fields: 5 of 83
  • Radiological and Ultrasound Technology 265
  • Pollution 209
  • Global and Planetary Change 324
  • Safety, Risk, Reliability and Quality 121
  • Health, Toxicology and Mutagenesis 173
Replace R.T. Leah with:
R.T. Leah United Kingdom
B.G. Blaylock United States
Pål Andersson Sweden
A.V. Tkalin Russia
P. M. Ravi India
Zofia Baumann United States
Conrad Dan Volz United States
Laurent Garcia-Sanchez France
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Citations per field
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Citations per year

Countries citing papers authored by C. Wells

Since Specialization
Citations

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

Fields of papers citing papers by C. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Wells, 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 C. Wells Line = papers co-authored together C. Wells 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 2008141
2 2012113
3 2009101
4
IAEA Handbook of parameter values for the prediction of radionuclide transfer to wildlife.
201278
5 200761
6 201829
7 201128
8 201526
9 201324
10 201314
11 201614
12 202013
13 201912
14 200711
15 20189
16 19778
17 20168
18 20166
19 20024
20 20112

About C. Wells

C. Wells is a scholar working on Radiological and Ultrasound Technology, Global and Planetary Change, Safety, Risk, Reliability and Quality, Pollution and Radiation, having authored 24 papers that have together received 708 indexed citations. Recurring topics across this work include Radioactivity and Radon Measurements (17 papers), Radioactive contamination and transfer (16 papers), Nuclear and radioactivity studies (7 papers), Nuclear Physics and Applications (3 papers), Heavy metals in environment (2 papers), Fish Ecology and Management Studies (2 papers), Freshwater macroinvertebrate diversity and ecology (2 papers) and Radioactive element chemistry and processing (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (265 citations), Pollution (209 citations), Global and Planetary Change (324 citations), Safety, Risk, Reliability and Quality (121 citations) and Health, Toxicology and Mutagenesis (173 citations). C. Wells has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Brenda J. Howard, Richard J. Williams, M. G. R. Holmes, Rachel Benstead, Andrew Charles Johnson, Virginie D. J. Keller, Andrew R. J. Young, Nicholas A. Beresford, Catherine L. Barnett and Kevin W.H. Kwok. Their work appears in journals such as Journal of Environmental Radioactivity, Radioprotection, Environmental Toxicology and Chemistry, Journal of the British Archaeological Association and Environmental Science & Technology.

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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