Shen Mynn Tan

2.3k total citations · 2 hit papers
13 papers, 1.8k citations indexed

About

Shen Mynn Tan is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shen Mynn Tan has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Shen Mynn Tan's work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Shen Mynn Tan is often cited by papers focused on MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Shen Mynn Tan collaborates with scholars based in United States, Singapore and Italy. Shen Mynn Tan's co-authors include Judy Lieberman, Yvonne Tay, Florian A. Karreth, Pier Paolo Pandolfi, Dror Weiss, Ugo Ala, Paolo Provero, Lev M. Kats, Isidore Rigoutsos and Laura Poliseno and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Shen Mynn Tan

13 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs

2011 821 citations Yvonne Tay, Lev M. Kats et al. Cell profile →
In Vivo Identification of Tumor- Suppressive PTEN ceRNAs in an Oncogenic BRAF-Induced Mouse Model of Melanoma

2011 534 citations Florian A. Karreth, Yvonne Tay et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shen Mynn Tan United States	12	1.6k	1.4k	154	78	76	13	1.8k
Giovanni Nigita United States	25	1.3k 0.8×	965 0.7×	133 0.9×	112 1.4×	63 0.8×	66	1.6k
Ruiyun Xing China	9	1.5k 0.9×	1.3k 0.9×	112 0.7×	103 1.3×	46 0.6×	14	1.8k
Isaia Barbieri United Kingdom	9	2.3k 1.4×	1.2k 0.9×	274 1.8×	90 1.2×	74 1.0×	12	2.5k
Junho Choe South Korea	21	3.4k 2.1×	1.5k 1.1×	211 1.4×	83 1.1×	82 1.1×	28	3.5k
Nadya Dimitrova United States	15	1.6k 1.0×	784 0.6×	267 1.7×	82 1.1×	58 0.8×	20	1.8k
Yamei Niu China	15	1.3k 0.8×	564 0.4×	121 0.8×	79 1.0×	31 0.4×	34	1.4k
Kalpana Ramnarayanan Singapore	9	1.1k 0.7×	724 0.5×	138 0.9×	53 0.7×	120 1.6×	10	1.4k
Antonio Addario Italy	8	1.3k 0.8×	1.3k 0.9×	150 1.0×	94 1.2×	118 1.6×	11	1.6k
Raúl Peña Spain	12	769 0.5×	535 0.4×	313 2.0×	80 1.0×	61 0.8×	17	1.0k
William J. Faller Netherlands	15	1.1k 0.7×	728 0.5×	205 1.3×	86 1.1×	61 0.8×	30	1.4k

Countries citing papers authored by Shen Mynn Tan

Since Specialization

Citations

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

Fields of papers citing papers by Shen Mynn Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Mynn Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Mynn Tan. A scholar is included among the top collaborators of Shen Mynn 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 Shen Mynn Tan. Shen Mynn 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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13 of 13 papers shown

1.

Tan, Shen Mynn, et al.. (2024). The future of collaborative precision oncology approaches in sub-Saharan Africa: learnings from around the globe. Frontiers in Oncology. 14. 1426558–1426558. 1 indexed citations

2.

Petrocca, Fabio, et al.. (2015). miR-200 promotes the mesenchymal to epithelial transition by suppressing multiple members of the Zeb2 and Snail1 transcriptional repressor complexes. Oncogene. 35(2). 158–172. 101 indexed citations

3.

Tan, Shen Mynn & Judy Lieberman. (2015). Capture and Identification of miRNA Targets by Biotin Pulldown and RNA-seq. Methods in molecular biology. 1358. 211–228. 38 indexed citations

4.

O’Day, Elizabeth, Minh T. N. Le, Shunsuke Imai, et al.. (2015). An RNA-binding Protein, Lin28, Recognizes and Remodels G-quartets in the MicroRNAs (miRNAs) and mRNAs It Regulates. Journal of Biological Chemistry. 290(29). 17909–17922. 29 indexed citations

5.

Tan, Shen Mynn, Rory Kirchner, Jingmin Jin, et al.. (2014). Sequencing of Captive Target Transcripts Identifies the Network of Regulated Genes and Functions of Primate-Specific miR-522. Cell Reports. 8(4). 1225–1239. 42 indexed citations

6.

Tan, Shen Mynn, Gabriel Altschuler, Henry Yang, et al.. (2014). Divergent LIN28-mRNA associations result in translational suppression upon the initiation of differentiation. Nucleic Acids Research. 42(12). 7997–8007. 12 indexed citations

7.

Tay, Yvonne, Shen Mynn Tan, Florian A. Karreth, Judy Lieberman, & Pier Paolo Pandolfi. (2014). Characterization of Dual PTEN and p53-Targeting MicroRNAs Identifies MicroRNA-638/Dnm2 as a Two-Hit Oncogenic Locus. Cell Reports. 8(3). 714–722. 49 indexed citations

8.

Petrocca, Fabio, Gabriel Altschuler, Shen Mynn Tan, et al.. (2013). A Genome-wide siRNA Screen Identifies Proteasome Addiction as a Vulnerability of Basal-like Triple-Negative Breast Cancer Cells. Cancer Cell. 24(2). 182–196. 141 indexed citations

9.

Karreth, Florian A., Yvonne Tay, Daniele Perna, et al.. (2011). In Vivo Identification of Tumor- Suppressive PTEN ceRNAs in an Oncogenic BRAF-Induced Mouse Model of Melanoma. Cell. 147(2). 382–395. 534 indexed citations breakdown →

10.

Tay, Yvonne, Lev M. Kats, Leonardo Salmena, et al.. (2011). Coding-Independent Regulation of the Tumor Suppressor PTEN by Competing Endogenous mRNAs. Cell. 147(2). 344–357. 821 indexed citations breakdown →

11.

Karreth, Florian A., Yvonne Tay, Daniele Perna, et al.. (2011). In Vivo Identification of Tumor- Suppressive PTEN ceRNAs in an Oncogenic BRAF-Induced Mouse Model of Melanoma. Cell. 147(4). 948–948. 22 indexed citations

12.

Tan, Shen Mynn, Siew Tein Wang, Hannes Hentze, & Peter Dröge. (2007). A UTF1 -based selection system for stable homogeneously pluripotent human embryonic stem cell cultures. Nucleic Acids Research. 35(18). e118–e118. 28 indexed citations

13.

Tan, Shen Mynn & Peter Dröge. (2005). Comparative Analysis of Sequence‐Specific DNA Recombination Systems in Human Embryonic Stem Cells. Stem Cells. 23(7). 868–873. 12 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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