An S. Tan

6.3k total citations · 2 hit papers
29 papers, 4.3k citations indexed

About

An S. Tan is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, An S. Tan has authored 29 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Organic Chemistry. Recurrent topics in An S. Tan's work include Coenzyme Q10 studies and effects (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Electrochemical sensors and biosensors (4 papers). An S. Tan is often cited by papers focused on Coenzyme Q10 studies and effects (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Electrochemical sensors and biosensors (4 papers). An S. Tan collaborates with scholars based in New Zealand, Singapore and Taiwan. An S. Tan's co-authors include Michael V. Berridge, Patries M. Herst, Kathy D. McCoy, Rui Wang, Nuzhat Ahmed, James W. Baty, Maya Kansara, Fritz Rudert, Qian Hui Chew and Kang Sim and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

An S. Tan

28 papers receiving 4.1k citations

Hit Papers

Tetrazolium dyes as tools in cell biology: New insights... 1993 2026 2004 2015 2005 1993 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
An S. Tan New Zealand 20 1.8k 467 426 364 363 29 4.3k
Masuo Kondoh Japan 40 2.1k 1.2× 336 0.7× 349 0.8× 289 0.8× 357 1.0× 212 5.6k
Patrick A. Riley United Kingdom 39 2.1k 1.1× 351 0.8× 594 1.4× 352 1.0× 290 0.8× 181 6.2k
Diana A. Averill‐Bates Canada 34 2.9k 1.6× 457 1.0× 330 0.8× 340 0.9× 428 1.2× 93 6.0k
Alfonso Pompella Italy 42 2.2k 1.2× 430 0.9× 317 0.7× 298 0.8× 490 1.3× 158 7.0k
Jing Liu China 36 2.9k 1.6× 481 1.0× 429 1.0× 417 1.1× 548 1.5× 251 5.6k
Brian S. Cummings United States 33 1.9k 1.0× 382 0.8× 213 0.5× 203 0.6× 426 1.2× 111 4.1k
Magdalena L. Circu United States 19 2.1k 1.2× 264 0.6× 261 0.6× 310 0.9× 317 0.9× 24 4.4k
Munetaka Ishiyama Japan 17 1.4k 0.8× 430 0.9× 333 0.8× 230 0.6× 227 0.6× 34 3.1k
Rita Lang Austria 5 1.8k 1.0× 283 0.6× 929 2.2× 362 1.0× 298 0.8× 7 4.5k
Phillip Greenspan United States 27 2.2k 1.2× 401 0.9× 415 1.0× 323 0.9× 187 0.5× 77 5.4k

Countries citing papers authored by An S. Tan

Since Specialization
Citations

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

Fields of papers citing papers by An S. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An S. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of An S. Tan. A scholar is included among the top collaborators of An S. 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 An S. Tan. An S. Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hartono, Septian, Robert Chun Chen, Thomas Welton, et al.. (2023). Quantitative iron–neuromelanin MRI associates with motor severity in Parkinson's disease and matches radiological disease classification. Frontiers in Aging Neuroscience. 15. 1287917–1287917. 4 indexed citations
3.
Tan, An S., et al.. (2020). The Virological, Immunological, and Imaging Approaches for COVID-19 Diagnosis and Research. SLAS TECHNOLOGY. 25(6). 522–544. 20 indexed citations
4.
Tan, An S., Qian Hui Chew, & Kang Sim. (2020). Cerebral white matter changes in deficit and non-deficit subtypes of schizophrenia. Journal of Neural Transmission. 127(7). 1073–1079. 23 indexed citations
5.
Yeong, Joe, An S. Tan, Clara Chong Hui Ong, et al.. (2019). Evaluation of phospho-histone H3 in Asian triple-negative breast cancer using multiplex immunofluorescence. Breast Cancer Research and Treatment. 178(2). 295–305. 9 indexed citations
6.
Tan, An S., Clara Chong Hui Ong, Bernett Lee, et al.. (2019). The role of Ki-67 in Asian triple negative breast cancers: a novel combinatory panel approach. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 475(6). 709–725. 12 indexed citations
7.
Tan, An S., James W. Baty, & Michael V. Berridge. (2013). The role of mitochondrial electron transport in tumorigenesis and metastasis. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(4). 1454–1463. 46 indexed citations
8.
Berridge, Michael V., Patries M. Herst, & An S. Tan. (2010). Metabolic flexibility and cell hierarchy in metastatic cancer. Mitochondrion. 10(6). 584–588. 51 indexed citations
9.
Tan, An S. & Michael V. Berridge. (2009). Evidence for NAD(P)H:quinone oxidoreductase 1 (NQO1)-mediated quinone-dependent redox cycling via plasma membrane electron transport: A sensitive cellular assay for NQO1. Free Radical Biology and Medicine. 48(3). 421–429. 29 indexed citations
10.
Berridge, Michael V., Patries M. Herst, & An S. Tan. (2005). Tetrazolium dyes as tools in cell biology: New insights into their cellular reduction. PubMed. 11. 127–152. 1710 indexed citations breakdown →
11.
Tan, An S. & Michael V. Berridge. (2004). Distincttrans-plasma membrane redox pathways reduce cell-impermeable dyes in HeLa cells. Redox Report. 9(6). 302–306. 24 indexed citations
12.
Herst, Patries M., et al.. (2004). Cell surface oxygen consumption by mitochondrial gene knockout cells. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1656(2-3). 79–87. 95 indexed citations
13.
Berridge, Michael V. & An S. Tan. (2000). Cell-Surface NAD(P)H-Oxidase: Relationship to Trans-Plasma Membrane NADH-Oxidoreductase and a Potential Source of Circulating NADH-Oxidase. Antioxidants and Redox Signaling. 2(2). 277–288. 41 indexed citations
14.
Berridge, Michael V. & An S. Tan. (2000). High-Capacity Redox Control at the Plasma Membrane of Mammalian Cells: Trans-Membrane, Cell Surface, and Serum NADH-Oxidases. Antioxidants and Redox Signaling. 2(2). 231–242. 71 indexed citations
17.
McCoy, Kathy D., Nuzhat Ahmed, An S. Tan, & Michael V. Berridge. (1997). The Hemopoietic Growth Factor, Interleukin-3, Promotes Glucose Transport by Increasing the Specific Activity and Maintaining the Affinity for Glucose of Plasma Membrane Glucose Transporters. Journal of Biological Chemistry. 272(28). 17276–17282. 30 indexed citations
18.
Berridge, Michael V., Julia A. Horsfield, & An S. Tan. (1995). Evidence that cell survival is controlled by interleukin‐3 independently of cell proliferation. Journal of Cellular Physiology. 163(3). 466–476. 19 indexed citations
19.
Berridge, Michael V. & An S. Tan. (1993). Characterization of the Cellular Reduction of 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT): Subcellular Localization, Substrate Dependence, and Involvement of Mitochondrial Electron Transport in MTT Reduction. Archives of Biochemistry and Biophysics. 303(2). 474–482. 1180 indexed citations breakdown →
20.
Berridge, Michael V. & An S. Tan. (1992). The protein kinase C inhibitor, calphostin C, inhibits succinate-dependent mitochondrial reduction of MTT by a mechanism that does not involve protein kinase C. Biochemical and Biophysical Research Communications. 185(3). 806–811. 10 indexed citations

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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