Frederick J. Tan

2.3k total citations
17 papers, 762 citations indexed

About

Frederick J. Tan is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Frederick J. Tan has authored 17 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Frederick J. Tan's work include CRISPR and Genetic Engineering (6 papers), Mitochondrial Function and Pathology (4 papers) and Chromosomal and Genetic Variations (4 papers). Frederick J. Tan is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Mitochondrial Function and Pathology (4 papers) and Chromosomal and Genetic Variations (4 papers). Frederick J. Tan collaborates with scholars based in United States, United Kingdom and Finland. Frederick J. Tan's co-authors include Andrew Fire, Douglas Koshland, Anjali D. Zimmer, Lamia Wahba, Lorenzo Costantino, Heather McCullough, Daniel P. Riordan, Steven Johnson, R. Blake Hill and Rosa Alcazar and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Frederick J. Tan

16 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frederick J. Tan United States	11	702	167	114	60	48	17	762
Suraiya Haroon United States	9	457 0.7×	38 0.2×	65 0.6×	77 1.3×	30 0.6×	13	558
En-Zhi Shen China	10	520 0.7×	182 1.1×	30 0.3×	149 2.5×	39 0.8×	19	618
Artem Zykovich United States	9	560 0.8×	76 0.5×	96 0.8×	119 2.0×	39 0.8×	11	751
Nirmalya Chatterjee United States	7	334 0.5×	141 0.8×	28 0.2×	63 1.1×	82 1.7×	7	515
Larry Joe United States	9	337 0.5×	159 1.0×	155 1.4×	181 3.0×	170 3.5×	13	663
Xiao‐Qiong Chen China	10	209 0.3×	145 0.9×	37 0.3×	32 0.5×	36 0.8×	17	425
Carrie L. Simms United States	11	703 1.0×	41 0.2×	54 0.5×	23 0.4×	35 0.7×	13	854
Weifeng Huang China	11	332 0.5×	289 1.7×	32 0.3×	49 0.8×	17 0.4×	17	551
Robert C. McLeay Australia	9	601 0.9×	126 0.8×	108 0.9×	8 0.1×	24 0.5×	14	780

Countries citing papers authored by Frederick J. Tan

Since Specialization

Citations

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

Fields of papers citing papers by Frederick J. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederick J. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick J. Tan. A scholar is included among the top collaborators of Frederick J. 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 Frederick J. Tan. Frederick J. 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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17 of 17 papers shown

Drnevich, Jenny, Frederick J. Tan, Fabricio Almeida‐Silva, et al.. (2025). Learning and teaching biological data science in the Bioconductor community. PLoS Computational Biology. 21(4). e1012925–e1012925.

Tamrazi, Anobel, et al.. (2023). Endovascular image-guided sampling of tumor-draining veins provides an enriched source of oncological biomarkers. Frontiers in Oncology. 13. 916196–916196. 2 indexed citations

Wright, Carrie, Ava M. Hoffman, John Muschelli, et al.. (2022). Open-source Tools for Training Resources – OTTR. SHILAP Revista de lepidopterología. 31(1). 57–65. 1 indexed citations

Wilson, Meredith H., Sujith Rajan, Richard White, et al.. (2020). A point mutation decouples the lipid transfer activities of microsomal triglyceride transfer protein. PLoS Genetics. 16(8). e1008941–e1008941. 25 indexed citations

Li, Liangji, Michelle Rozo, Sibiao Yue, et al.. (2019). Muscle stem cell renewal suppressed by GAS1 can be reversed by GDNF in mice. Nature Metabolism. 1(10). 985–995. 23 indexed citations

Wang, Lu, Kun Dou, Sungjin Moon, Frederick J. Tan, & ZZ Zhao Zhang. (2018). Hijacking Oogenesis Enables Massive Propagation of LINE and Retroviral Transposons. Cell. 174(5). 1082–1094.e12. 53 indexed citations

Anderson, Jennifer L., Timothy S. Mulligan, Meng‐Chieh Shen, et al.. (2017). mRNA processing in mutant zebrafish lines generated by chemical and CRISPR-mediated mutagenesis produces unexpected transcripts that escape nonsense-mediated decay. PLoS Genetics. 13(11). e1007105–e1007105. 76 indexed citations

Wahba, Lamia, Lorenzo Costantino, Frederick J. Tan, Anjali D. Zimmer, & Douglas Koshland. (2016). S1-DRIP-seq identifies high expression and polyA tracts as major contributors to R-loop formation. Genes & Development. 30(11). 1327–1338. 204 indexed citations

Tan, Frederick J., Margaret L. Hoang, & Douglas Koshland. (2012). DNA Resection at Chromosome Breaks Promotes Genome Stability by Constraining Non-Allelic Homologous Recombination. PLoS Genetics. 8(3). e1002633–e1002633. 9 indexed citations

10.

Tan, Frederick J., Jonathan E. Zuckerman, Robert C. Wells, & R. Blake Hill. (2010). The C. elegans B‐cell lymphoma 2 (Bcl‐2) homolog cell death abnormal 9 (CED‐9) associates with and remodels LIPID membranes. Protein Science. 20(1). 62–74. 5 indexed citations

11.

Hoang, Margaret L., Frederick J. Tan, David Lai, et al.. (2010). Competitive Repair by Naturally Dispersed Repetitive DNA during Non-Allelic Homologous Recombination. PLoS Genetics. 6(12). e1001228–e1001228. 50 indexed citations

12.

Tan, Frederick J., et al.. (2008). CED-9 and mitochondrial homeostasis inC. elegansmuscle. Journal of Cell Science. 121(20). 3373–3382. 37 indexed citations

13.

Tan, Frederick J., Andrew Fire, & R. Blake Hill. (2007). Regulation of apoptosis by C. elegans CED-9 in the absence of the C-terminal transmembrane domain. Cell Death and Differentiation. 14(11). 1925–1935. 23 indexed citations

14.

Wells, Robert C., Lora K. Picton, Sarah Williams, Frederick J. Tan, & R. Blake Hill. (2007). Direct Binding of the Dynamin-like GTPase, Dnm1, to Mitochondrial Dynamics Protein Fis1 Is Negatively Regulated by the Fis1 N-terminal Arm. Journal of Biological Chemistry. 282(46). 33769–33775. 52 indexed citations

15.

Fire, Andrew, Rosa Alcazar, & Frederick J. Tan. (2006). Unusual DNA Structures Associated With Germline Genetic Activity in Caenorhabditis elegans. Genetics. 173(3). 1259–1273. 51 indexed citations

16.

Johnson, Steven, Frederick J. Tan, Heather McCullough, Daniel P. Riordan, & Andrew Fire. (2006). Flexibility and constraint in the nucleosome core landscape of Caenorhabditis elegans chromatin. Genome Research. 16(12). 1505–1516. 148 indexed citations

17.

Tan, Frederick J., et al.. (2001). Motif- and expression-based classification of DNA. 3 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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