A.-P. Tsou

1.8k total citations
9 papers, 1.5k citations indexed

About

A.-P. Tsou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, A.-P. Tsou has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in A.-P. Tsou's work include Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Gene expression and cancer classification (2 papers). A.-P. Tsou is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Gene expression and cancer classification (2 papers). A.-P. Tsou collaborates with scholars based in Taiwan, Bulgaria and United States. A.-P. Tsou's co-authors include Kristie Clarkin, Geoffrey M. Wahl, Steven P. Linke, Aldo Di Leonardo, Henry Chan, Elsie M. Eugui, A. C. Allison, J. Thomas, Keith J. Petrie and Haidong Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

In The Last Decade

A.-P. Tsou

9 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.-P. Tsou Taiwan 7 952 421 365 228 113 9 1.5k
Eric A. Hanse United States 19 693 0.7× 485 1.2× 220 0.6× 214 0.9× 68 0.6× 28 1.3k
Sander H. Diks Netherlands 21 810 0.9× 183 0.4× 191 0.5× 166 0.7× 100 0.9× 46 1.4k
Todd M. Savarese United States 24 1.1k 1.2× 179 0.4× 463 1.3× 249 1.1× 56 0.5× 41 1.8k
Hongyun Wu China 14 747 0.8× 288 0.7× 710 1.9× 148 0.6× 44 0.4× 41 1.3k
Yinyin Huang United States 17 1.4k 1.4× 189 0.4× 529 1.4× 166 0.7× 149 1.3× 36 1.8k
Noreen M. Robertson United States 18 919 1.0× 114 0.3× 183 0.5× 284 1.2× 74 0.7× 33 1.4k
Janet H. Scott United States 24 762 0.8× 424 1.0× 687 1.9× 197 0.9× 238 2.1× 49 1.9k
Christopher Albanese United States 23 818 0.9× 263 0.6× 481 1.3× 157 0.7× 79 0.7× 51 1.7k
Marlène Dufresne France 26 1.1k 1.2× 404 1.0× 683 1.9× 141 0.6× 106 0.9× 67 2.3k
Min Ju Kang South Korea 22 1.3k 1.4× 638 1.5× 309 0.8× 138 0.6× 157 1.4× 43 1.8k

Countries citing papers authored by A.-P. Tsou

Since Specialization
Citations

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

Fields of papers citing papers by A.-P. Tsou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.-P. Tsou. 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 A.-P. Tsou. The network helps show where A.-P. Tsou may publish in the future.

Co-authorship network of co-authors of A.-P. Tsou

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

All Works

9 of 9 papers shown
1.
Chang, Wen‐Chi, et al.. (2011). Identifying transcriptional start sites of human microRNAs based on high-throughput sequencing data. Nucleic Acids Research. 39(21). 9345–9356. 135 indexed citations
2.
Hsu, Sheng‐Da, C. H. Chu, A.-P. Tsou, et al.. (2007). miRNAMap 2.0: genomic maps of microRNAs in metazoan genomes. Nucleic Acids Research. 36(Database). D165–D169. 223 indexed citations
3.
Tsou, A.-P., et al.. (2006). Biological Data Warehousing System for Identifying Transcriptional Regulatory Sites From Gene Expressions of Microarray Data. IEEE Transactions on Information Technology in Biomedicine. 10(3). 550–558. 4 indexed citations
4.
Lin, Feng-Ming, et al.. (2006). Database to Dynamically Aid Probe Design for Virus Identification. IEEE Transactions on Information Technology in Biomedicine. 10(4). 705–713. 3 indexed citations
5.
Tsou, A.-P., et al.. (2003). Identification of a novel cell cycle regulated gene, HURP, overexpressed in human hepatocellular carcinoma. Oncogene. 22(2). 298–307. 124 indexed citations
6.
Chen, Chia‐Hsiang, Honglin Liu, Tianyu Liu, et al.. (2002). Identification of mutations in the arginine vasopressin receptor 2 gene causing nephrogenic diabetes insipidus in Chinese patients. Journal of Human Genetics. 47(2). 66–73. 26 indexed citations
7.
Linke, Steven P., Kristie Clarkin, Aldo Di Leonardo, A.-P. Tsou, & Geoffrey M. Wahl. (1996). A reversible, p53-dependent G0/G1 cell cycle arrest induced by ribonucleotide depletion in the absence of detectable DNA damage.. Genes & Development. 10(8). 934–947. 460 indexed citations
8.
Strulovici, Berta, et al.. (1989). Activation of distinct protein kinase C isozymes by phorbol esters: correlation with induction of interleukin 1.beta. gene expression. Biochemistry. 28(8). 3569–3576. 71 indexed citations
9.
Tsou, A.-P., Henry Chan, J. Thomas, et al.. (1988). Glucocorticoids selectively inhibit the transcription of the interleukin 1 beta gene and decrease the stability of interleukin 1 beta mRNA.. Proceedings of the National Academy of Sciences. 85(4). 1204–1208. 429 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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