Olivia L. Tan

28 total papers · 619 total citations
15 papers, 491 citations indexed

About

Olivia L. Tan is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Olivia L. Tan has authored 15 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Olivia L. Tan's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Reproductive Biology and Fertility (3 papers). Olivia L. Tan is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Reproductive Biology and Fertility (3 papers). Olivia L. Tan collaborates with scholars based in Australia, United Kingdom and New Zealand. Olivia L. Tan's co-authors include Jean S. Fleming, Georgia Chenevix‐Trench, Izhak Haviv, Judith A. Clements, Ying Dong, Michael Klemba, Daniel E. Goldberg, Leann Tilley, Katherine M. Jackson and Nectarios Klonis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Biochemical Journal.

In The Last Decade

Olivia L. Tan

15 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Olivia L. Tan 176 164 141 138 115 15 491
John B. Beard 106 0.6× 110 0.7× 301 2.1× 30 0.2× 40 0.3× 8 512
Alice P. Taylor 48 0.3× 82 0.5× 163 1.2× 164 1.2× 20 0.2× 13 511
Brooke Middlebrook 54 0.3× 229 1.4× 275 2.0× 110 0.8× 18 0.2× 16 450
Elizabeth A. Macdonald 183 1.0× 105 0.6× 271 1.9× 150 1.1× 8 0.1× 21 540
L. Moretti 79 0.4× 145 0.9× 146 1.0× 13 0.1× 47 0.4× 23 455
Catherine Thériault 48 0.3× 131 0.8× 210 1.5× 30 0.2× 43 0.4× 15 440
Cédric Carli 146 0.8× 143 0.9× 144 1.0× 20 0.1× 15 0.1× 20 545
C. Von Kap-Herr 60 0.3× 105 0.6× 198 1.4× 36 0.3× 20 0.2× 18 545
Francine Walker‐Combrouze 194 1.1× 65 0.4× 188 1.3× 24 0.2× 32 0.3× 20 444
Benedikt Bosbach 85 0.5× 86 0.5× 259 1.8× 163 1.2× 14 0.1× 12 499

Countries citing papers authored by Olivia L. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Olivia L. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia L. Tan. 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 Olivia L. Tan. The network helps show where Olivia L. Tan may publish in the future.

Co-authorship network of co-authors of Olivia L. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Olivia L. Tan. A scholar is included among the top collaborators of Olivia L. Tan 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 Olivia L. Tan. Olivia L. Tan 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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