Tamsyn Stanborough

19 total papers · 474 total citations
13 papers, 365 citations indexed

About

Tamsyn Stanborough is a scholar working on Molecular Biology, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Tamsyn Stanborough has authored 13 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Nutrition and Dietetics and 2 papers in Genetics. Recurrent topics in Tamsyn Stanborough's work include Vitamin K Research Studies (3 papers), RNA and protein synthesis mechanisms (2 papers) and Microbial Metabolism and Applications (2 papers). Tamsyn Stanborough is often cited by papers focused on Vitamin K Research Studies (3 papers), RNA and protein synthesis mechanisms (2 papers) and Microbial Metabolism and Applications (2 papers). Tamsyn Stanborough collaborates with scholars based in New Zealand, Australia and Switzerland. Tamsyn Stanborough's co-authors include Narelle Fegan, P. Scott Chandry, Mark L. Tamplin, Shane M. Powell, Barbara Koch, Brigitte Pertschy, Helmut Bergler, T. K. Singh, Dieter Kressler and Valentin Mitterer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Applied and Environmental Microbiology.

In The Last Decade

Tamsyn Stanborough

11 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Tamsyn Stanborough 249 80 79 68 43 13 365
Dharamshibhai Rank 169 0.7× 113 1.4× 52 0.7× 49 0.7× 18 0.4× 13 302
Judy W. Arnold 120 0.5× 115 1.4× 141 1.8× 145 2.1× 40 0.9× 11 385
Ana G. Abril 198 0.8× 26 0.3× 100 1.3× 30 0.4× 68 1.6× 25 359
Gerardo Landeta‐Cortés 221 0.9× 105 1.3× 183 2.3× 23 0.3× 19 0.4× 23 401
Kaiyi Zhang 157 0.6× 30 0.4× 110 1.4× 28 0.4× 74 1.7× 16 378
A. Penha Gonçalves 184 0.7× 17 0.2× 103 1.3× 30 0.4× 58 1.3× 9 401
Ramakrishnan Anish 166 0.7× 49 0.6× 17 0.2× 64 0.9× 71 1.7× 13 314
Weixiong Shi 140 0.6× 80 1.0× 119 1.5× 40 0.6× 28 0.7× 14 322
Yuanyuan Yan 76 0.3× 49 0.6× 74 0.9× 29 0.4× 61 1.4× 22 326
P. M. Rhodes 183 0.7× 21 0.3× 77 1.0× 24 0.4× 39 0.9× 16 376

Countries citing papers authored by Tamsyn Stanborough

Since Specialization
Citations

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

Fields of papers citing papers by Tamsyn Stanborough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamsyn Stanborough

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