Michaela Walton

14 total papers · 1.1k total citations
10 papers, 885 citations indexed

About

Michaela Walton is a scholar working on Biochemistry, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Michaela Walton has authored 10 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biochemistry, 3 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Michaela Walton's work include Phytochemicals and Antioxidant Activities (5 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Cancer therapeutics and mechanisms (2 papers). Michaela Walton is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Cancer therapeutics and mechanisms (2 papers). Michaela Walton collaborates with scholars based in New Zealand and Netherlands. Michaela Walton's co-authors include Tony K. McGhie, Jacquie L. Harper, W. J. Martin, Gordon Reynolds, W.H. Hendriks, Marlena C. Kruger, Michael V. Berridge, Roger G. Lentle, Mattie S. M. Timmer and Christopher G. Newton and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Food Science and Journal of the Science of Food and Agriculture.

In The Last Decade

Michaela Walton

10 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Michaela Walton 383 324 147 143 128 10 885
Marie‐Annette Carbonneau 298 0.8× 230 0.7× 99 0.7× 153 1.1× 113 0.9× 27 884
H C Chiang 153 0.4× 262 0.8× 73 0.5× 53 0.4× 75 0.6× 22 1.0k
Hongjin Tang 132 0.3× 328 1.0× 156 1.1× 97 0.7× 154 1.2× 29 780
L. Sugherini 206 0.5× 229 0.7× 42 0.3× 250 1.7× 63 0.5× 12 868
Chien-Shu Chen 123 0.3× 371 1.1× 51 0.3× 50 0.3× 205 1.6× 16 896
Anup Srivastava 155 0.4× 304 0.9× 134 0.9× 72 0.5× 40 0.3× 21 949
Amalia Di Petrillo 164 0.4× 216 0.7× 121 0.8× 114 0.8× 23 0.2× 25 813
Suyun Lin 194 0.5× 301 0.9× 267 1.8× 310 2.2× 212 1.7× 31 1.0k
Masato Yonamine 351 0.9× 210 0.6× 263 1.8× 136 1.0× 27 0.2× 15 1.0k
Michiyo Furugori 313 0.8× 351 1.1× 131 0.9× 58 0.4× 14 0.1× 9 883

Countries citing papers authored by Michaela Walton

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Walton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Walton

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