Natasha Tetlow

19 total papers · 853 total citations
11 papers, 658 citations indexed

About

Natasha Tetlow is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Natasha Tetlow has authored 11 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Natasha Tetlow's work include Glutathione Transferases and Polymorphisms (9 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Kruppel-like factors research (2 papers). Natasha Tetlow is often cited by papers focused on Glutathione Transferases and Polymorphisms (9 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Kruppel-like factors research (2 papers). Natasha Tetlow collaborates with scholars based in Australia, United States and Ireland. Natasha Tetlow's co-authors include Philip G. Board, Astrid K. Whitbread, Amir Hassan Masoumi, Marjorie Coggan, Grant R. Sutherland, Helen J. Eyre, Anneke C. Blackburn, Juleen A. Cavanaugh, Dan Liu and Anna Robinson and has published in prestigious journals such as Cancer Research, Methods in enzymology on CD-ROM/Methods in enzymology and Human Mutation.

In The Last Decade

Natasha Tetlow

11 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Natasha Tetlow 532 83 63 59 52 11 658
Astrid K. Whitbread 457 0.9× 85 1.0× 47 0.7× 33 0.6× 29 0.6× 10 591
Michele H. Rosner 633 1.2× 29 0.3× 46 0.7× 95 1.6× 54 1.0× 9 741
Xiaojun Xie 423 0.8× 44 0.5× 22 0.3× 52 0.9× 23 0.4× 19 759
Will M. Lee 312 0.6× 16 0.2× 146 2.3× 60 1.0× 13 0.3× 8 735
Rachel M. Patterson 365 0.7× 182 2.2× 14 0.2× 43 0.7× 24 0.5× 26 751
Peizheng Zheng 630 1.2× 21 0.3× 72 1.1× 46 0.8× 14 0.3× 8 710
Dilip D. Vakharia 213 0.4× 35 0.4× 35 0.6× 97 1.6× 78 1.5× 26 744
Isildinha Reis 513 1.0× 32 0.4× 62 1.0× 42 0.7× 4 0.1× 13 702
Qin Li 421 0.8× 27 0.3× 25 0.4× 32 0.5× 7 0.1× 19 580
Patricia Guzmán 255 0.5× 103 1.2× 35 0.6× 40 0.7× 12 0.2× 11 681

Countries citing papers authored by Natasha Tetlow

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Tetlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Tetlow

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