Natalie Danford

28 total papers · 446 total citations
19 papers, 366 citations indexed

About

Natalie Danford is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Natalie Danford has authored 19 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Natalie Danford's work include Carcinogens and Genotoxicity Assessment (10 papers), DNA Repair Mechanisms (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Natalie Danford is often cited by papers focused on Carcinogens and Genotoxicity Assessment (10 papers), DNA Repair Mechanisms (4 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Natalie Danford collaborates with scholars based in United Kingdom. Natalie Danford's co-authors include James M. Parry, J. A. Beardmore, U. Kliesch, I.‐D. Adler, Elizabeth M. Parry, Philip E. Wilcox, W. Duncan, R. Anand, Alan E H Emery and Louise N. Paton and has published in prestigious journals such as The Lancet, Environmental Health Perspectives and Mutation Research/Reviews in Genetic Toxicology.

In The Last Decade

Natalie Danford

19 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalie Danford 199 154 79 60 49 19 366
B. W. Collins 82 0.4× 197 1.3× 64 0.8× 64 1.1× 44 0.9× 13 377
Lawrence R. Valcovic 187 0.9× 147 1.0× 85 1.1× 77 1.3× 47 1.0× 9 334
Mie Watanabe‐Akanuma 185 0.9× 171 1.1× 96 1.2× 57 0.9× 28 0.6× 18 381
Gu Zhou 89 0.4× 124 0.8× 92 1.2× 70 1.2× 16 0.3× 17 350
Zita Cavalieri 180 0.9× 134 0.9× 60 0.8× 93 1.6× 19 0.4× 11 314
R. Roll 92 0.5× 66 0.4× 63 0.8× 97 1.6× 17 0.3× 18 324
Nalan İmamoğlu 85 0.4× 122 0.8× 45 0.6× 71 1.2× 46 0.9× 26 348
S. K. Majumdar 67 0.3× 118 0.8× 32 0.4× 144 2.4× 34 0.7× 38 339
R. Barhoumi 63 0.3× 190 1.2× 98 1.2× 56 0.9× 47 1.0× 14 402
Gabriella Argentin 114 0.6× 118 0.8× 71 0.9× 67 1.1× 8 0.2× 15 336

Countries citing papers authored by Natalie Danford

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Danford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Danford

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

All Works

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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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