D. Moir

40 papers receiving 398 citations

Peers

D. Moir
Comparison fields: 5 of 108
  • Radiological and Ultrasound Technology 190
  • Safety, Risk, Reliability and Quality 63
  • Health, Toxicology and Mutagenesis 89
  • Radiology, Nuclear Medicine and Imaging 128
  • Global and Planetary Change 105
Replace P. Fritsch with:
P. Fritsch France
N. D. Priest United Kingdom
P.W. Durbin United States
Florence Ménétrier France
Luiz Bertelli United States
M. Limson Zamora Canada
V. Chazel France
M.H. Hengé-Napoli France
William L. Lappenbusch United States
Hideo Sugiyama Japan
D. Moir relative to P. Fritsch France P. Fritsch's profile →
Citations per field
00.5×2.7×
P. Fritsch · 1×
Citations per year

Countries citing papers authored by D. Moir

Since Specialization
Citations

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

Fields of papers citing papers by D. Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201257
2 199845
3 200241
4 201125
5
Structure-activity relationship study on the bioreduction of azo dyes by Clostridium paraputrificum.
200123
6 201020
7 199219
8 201117
9 200215
10 201015
11 201015
12 201011
13 201010
14 200710
15 20088
16 20128
17 19947
18 20116
19 19976
20 20126

About D. Moir

D. Moir is a scholar working on Radiological and Ultrasound Technology, Radiology, Nuclear Medicine and Imaging, Global and Planetary Change, Health, Toxicology and Mutagenesis and Inorganic Chemistry, having authored 40 papers that have together received 415 indexed citations. Recurring topics across this work include Radioactivity and Radon Measurements (16 papers), Radioactive contamination and transfer (14 papers), Radiation Dose and Imaging (14 papers), Radioactive element chemistry and processing (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Nuclear and radioactivity studies (4 papers), Chemical Synthesis and Characterization (3 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (190 citations), Safety, Risk, Reliability and Quality (63 citations), Health, Toxicology and Mutagenesis (89 citations), Radiology, Nuclear Medicine and Imaging (128 citations) and Global and Planetary Change (105 citations). D. Moir has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include J. Chen, Jing Chen, Jeff Whyte, Shinji Tokonami, I. Chu, Atsuyuki Sorimachi, Mirosław Janik, Mike Walker, M.E. Meek and Linda A. Turner. Their work appears in journals such as Radiation Protection Dosimetry, Journal of Radioanalytical and Nuclear Chemistry, Journal of Radiological Protection, Journal of Environmental Science and Health Part B and Radiation and Environmental Biophysics.

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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