Theodosia Teo

31 total papers · 842 total citations
25 papers, 684 citations indexed

About

Theodosia Teo is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Theodosia Teo has authored 25 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Oncology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Theodosia Teo's work include Cancer-related Molecular Pathways (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Cancer Mechanisms and Therapy (7 papers). Theodosia Teo is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Cancer Mechanisms and Therapy (7 papers). Theodosia Teo collaborates with scholars based in Australia, United Kingdom and China. Theodosia Teo's co-authors include Shudong Wang, Mingfeng Yu, Malika Kumarasiri, Robert Milne, Frankie Lam, Sarah Diab, Matthew J. Sykes, Sunita K. C. Basnet, Hugo Albrecht and Yuchao Yang and has published in prestigious journals such as Journal of Medicinal Chemistry, Molecules and Molecular Pharmacology.

In The Last Decade

Theodosia Teo

24 papers receiving 680 citations

Author Peers

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

Author Last Decade Papers Cites
Theodosia Teo 432 239 166 148 102 25 684
Andrii Monastyrskyi 309 0.7× 166 0.7× 181 1.1× 85 0.6× 41 0.4× 25 608
Johanne Bentley 451 1.0× 269 1.1× 177 1.1× 92 0.6× 52 0.5× 13 788
Joseph T. Repine 350 0.8× 317 1.3× 249 1.5× 266 1.8× 43 0.4× 18 774
Vijay Shahani 366 0.8× 246 1.0× 115 0.7× 64 0.4× 86 0.8× 19 705
Ted L. Underiner 387 0.9× 154 0.6× 333 2.0× 96 0.6× 100 1.0× 31 762
Montgomery Ja 282 0.7× 234 1.0× 73 0.4× 86 0.6× 45 0.4× 18 685
Gary Borzillo 492 1.1× 171 0.7× 52 0.3× 95 0.6× 93 0.9× 24 736
Alexis de Haven Brandon 422 1.0× 178 0.7× 70 0.4× 80 0.5× 54 0.5× 22 592
Eiji Nishiwaki 394 0.9× 189 0.8× 195 1.2× 92 0.6× 28 0.3× 17 785
Mauro Angiolini 386 0.9× 139 0.6× 247 1.5× 45 0.3× 49 0.5× 14 585

Countries citing papers authored by Theodosia Teo

Since Specialization
Citations

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

Fields of papers citing papers by Theodosia Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodosia Teo

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