J. Moquet

513 total citations
7 papers, 239 citations indexed

About

J. Moquet is a scholar working on Cancer Research, Food Science and Molecular Biology. According to data from OpenAlex, J. Moquet has authored 7 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Food Science and 3 papers in Molecular Biology. Recurrent topics in J. Moquet's work include Carcinogens and Genotoxicity Assessment (7 papers), Radiation Effects and Dosimetry (5 papers) and Effects of Radiation Exposure (3 papers). J. Moquet is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Radiation Effects and Dosimetry (5 papers) and Effects of Radiation Exposure (3 papers). J. Moquet collaborates with scholars based in United Kingdom, Finland and France. J. Moquet's co-authors include Carita Lindholm, H. Romm, Stephan Günther, Joan Francesc Barquinero, A.A. Edwards, Leonardo Barrios, E. Schmid, F. Darroudi, E. Janet Tawn and Elizabeth A. Ainsbury and has published in prestigious journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, International Journal of Radiation Biology and Health Physics.

In The Last Decade

J. Moquet

7 papers receiving 231 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. Moquet United Kingdom	6	152	124	120	52	38	7	239
Volodymyr Vinnikov Ukraine	9	136 0.9×	118 1.0×	82 0.7×	57 1.1×	50 1.3×	27	243
Farrah Flegal Canada	8	168 1.1×	132 1.1×	89 0.7×	76 1.5×	61 1.6×	11	266
A. Wojcik Sweden	6	146 1.0×	116 0.9×	142 1.2×	74 1.4×	89 2.3×	7	360
Nataliya Maznyk Ukraine	7	151 1.0×	122 1.0×	65 0.5×	70 1.3×	51 1.3×	15	226
Christian Schunck Germany	9	237 1.6×	55 0.4×	180 1.5×	34 0.7×	38 1.0×	17	358
A. Vral Belgium	11	344 2.3×	208 1.7×	212 1.8×	105 2.0×	89 2.3×	17	465
Antoni Subias Spain	8	209 1.4×	163 1.3×	167 1.4×	40 0.8×	62 1.6×	9	347
U. Nahrstedt Germany	7	205 1.3×	140 1.1×	192 1.6×	54 1.0×	86 2.3×	17	365
Ellina Macaeva Belgium	8	73 0.5×	156 1.3×	113 0.9×	24 0.5×	114 3.0×	9	297
Valeria Hadjidekova Spain	6	71 0.5×	65 0.5×	56 0.5×	22 0.4×	31 0.8×	9	121

Countries citing papers authored by J. Moquet

Since Specialization

Citations

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

Fields of papers citing papers by J. Moquet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Moquet

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

All Works

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7 of 7 papers shown

Barquinero, Joan Francesc, Christina Beinke, Iwona Buraczewska, et al.. (2016). RENEB biodosimetry intercomparison analyzing translocations by FISH. International Journal of Radiation Biology. 93(1). 30–35. 13 indexed citations

Romm, H., Elizabeth A. Ainsbury, Stephen Barnard, et al.. (2014). Validation of Semi-automatic Scoring of Dicentric Chromosomes after Simulation of Three Different Irradiation Scenarios. Health Physics. 106(6). 764–771. 19 indexed citations

Romm, H., Elizabeth A. Ainsbury, Stephen Barnard, et al.. (2014). Web-based scoring of the dicentric assay, a collaborative biodosimetric scoring strategy for population triage in large scale radiation accidents. Radiation and Environmental Biophysics. 53(2). 241–254. 20 indexed citations

Rothkamm, Kai, Stephen Barnard, Elizabeth A. Ainsbury, et al.. (2013). Manual versus automated γ-H2AX foci analysis across five European laboratories: Can this assay be used for rapid biodosimetry in a large scale radiation accident?. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 756(1-2). 170–173. 54 indexed citations

Romm, H., Elizabeth A. Ainsbury, Stephen Barnard, et al.. (2012). The dicentric assay in triage mode as a reliable biodosimetric scoring strategy for population triage in large scale radiation accidents. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 5 indexed citations

Edwards, A.A., Carita Lindholm, F. Darroudi, et al.. (2005). Review of translocations detected by FISH for retrospective biological dosimetry applications. Radiation Protection Dosimetry. 113(4). 396–402. 83 indexed citations

Lindholm, Carita, H. Romm, Stephan Günther, et al.. (2002). Intercomparison of translocation and dicentric frequencies between laboratories in a follow-up of the radiological accident in Estonia. International Journal of Radiation Biology. 78(10). 883–890. 45 indexed citations

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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