Shirlee Tan

11 total papers · 1.2k total citations
9 papers, 1.1k citations indexed

About

Shirlee Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Shirlee Tan has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Shirlee Tan's work include Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Shirlee Tan is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Shirlee Tan collaborates with scholars based in United States, France and India. Shirlee Tan's co-authors include Pamela Maher, David Schubert, Yuanbin Liu, Yutaka Sagara, Malcolm R. Wood, Nikunj V. Somia, Emiliana Borrelli, Bettina Hermann, Richard Dargusch and David Schubert and has published in prestigious journals such as The Journal of Cell Biology, Brain Research and Journal of Neurochemistry.

In The Last Decade

Shirlee Tan

8 papers receiving 1.1k citations

Hit Papers

The Regulation of Reactiv... 1998 2026 2007 2016 1998 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Shirlee Tan 658 230 160 103 103 9 1.1k
Gretchen Lawler 810 1.2× 133 0.6× 158 1.0× 69 0.7× 78 0.8× 13 1.4k
Nianyu Li 845 1.3× 138 0.6× 144 0.9× 75 0.7× 78 0.8× 10 1.4k
Helena Xicoy 451 0.7× 290 1.3× 216 1.4× 139 1.3× 106 1.0× 11 1.0k
Jacqueline Hernández‐Damián 521 0.8× 117 0.5× 138 0.9× 88 0.9× 77 0.7× 9 1.1k
Wiem Chaabane 606 0.9× 139 0.6× 226 1.4× 91 0.9× 141 1.4× 10 1.2k
Marie-France Nissou 500 0.8× 564 2.5× 185 1.2× 195 1.9× 94 0.9× 14 1.5k
Vera Dias 523 0.8× 304 1.3× 297 1.9× 206 2.0× 69 0.7× 7 1.5k
Kirsten Mielke 669 1.0× 369 1.6× 184 1.1× 250 2.4× 77 0.7× 15 1.2k
Nancy A. Burke 830 1.3× 211 0.9× 110 0.7× 94 0.9× 209 2.0× 13 1.5k
Juliana Navarro-Yepes 399 0.6× 85 0.4× 179 1.1× 79 0.8× 58 0.6× 10 1.0k

Countries citing papers authored by Shirlee Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shirlee Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shirlee Tan

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