Wellington Moore

37 total papers · 611 total citations
31 papers, 428 citations indexed

About

Wellington Moore is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Wellington Moore has authored 31 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 10 papers in Health, Toxicology and Mutagenesis and 3 papers in Molecular Biology. Recurrent topics in Wellington Moore's work include Carcinogens and Genotoxicity Assessment (11 papers), Air Quality and Health Impacts (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Wellington Moore is often cited by papers focused on Carcinogens and Genotoxicity Assessment (11 papers), Air Quality and Health Impacts (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Wellington Moore collaborates with scholars based in United States, Canada and United Kingdom. Wellington Moore's co-authors include Jerry F. Stara, C. L. Comar, L. L. Hall, Mildred J. Wiester, Adi Cohen, Robert Miller, Yukio Tanaka, Carole A. Kimmel, James L. Smart and John Dobbing and has published in prestigious journals such as Nature, The Lancet and Environmental Health Perspectives.

In The Last Decade

Wellington Moore

30 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Wellington Moore 200 87 76 44 41 31 428
B Kock 234 1.2× 95 1.1× 53 0.7× 18 0.4× 40 1.0× 27 442
Yasuko Nagao 142 0.7× 66 0.8× 45 0.6× 35 0.8× 16 0.4× 22 467
Zhongqiu Wang 115 0.6× 67 0.8× 62 0.8× 26 0.6× 20 0.5× 21 367
Qiyou Tan 235 1.2× 44 0.5× 40 0.5× 37 0.8× 25 0.6× 27 410
H.A. Ragan 156 0.8× 55 0.6× 22 0.3× 98 2.2× 38 0.9× 42 485
Lulu Cao 204 1.0× 61 0.7× 41 0.5× 43 1.0× 30 0.7× 32 425
W. B. Yeoman 151 0.8× 30 0.3× 40 0.5× 80 1.8× 38 0.9× 27 444
Jolanta Antonowicz−Juchniewicz 209 1.0× 83 1.0× 71 0.9× 31 0.7× 19 0.5× 34 481
Guyanan Li 191 1.0× 42 0.5× 49 0.6× 58 1.3× 11 0.3× 21 420
Collins Otieno Asweto 222 1.1× 38 0.4× 67 0.9× 39 0.9× 9 0.2× 30 489

Countries citing papers authored by Wellington Moore

Since Specialization
Citations

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

Fields of papers citing papers by Wellington Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wellington Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Wellington Moore. A scholar is included among the top collaborators of Wellington Moore 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 Wellington Moore. Wellington Moore 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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