Tsun-Po Yang

25.6k total citations · 1 hit paper
16 papers, 973 citations indexed

About

Tsun-Po Yang is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Tsun-Po Yang has authored 16 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Tsun-Po Yang's work include Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers) and Epigenetics and DNA Methylation (2 papers). Tsun-Po Yang is often cited by papers focused on Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers) and Epigenetics and DNA Methylation (2 papers). Tsun-Po Yang collaborates with scholars based in United Kingdom, Germany and Taiwan. Tsun-Po Yang's co-authors include Panos Deloukas, Owen T McCann, Siarhei Maslau, Sarah Finer, Pamela Whittaker, Thomas A. Down, Huriya Beyan, Timothy D. Spector, Toby Andrew and Vardhman K. Rakyan and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Research.

In The Last Decade

Tsun-Po Yang

15 papers receiving 958 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.

Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains

2010 556 citations Vardhman K. Rakyan, Thomas A. Down et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tsun-Po Yang United Kingdom	9	759	297	122	100	98	16	973
Karin E. M. Diderich Netherlands	21	822 1.1×	563 1.9×	142 1.2×	70 0.7×	560 5.7×	60	1.6k
Kai Yu United States	16	671 0.9×	238 0.8×	228 1.9×	183 1.8×	164 1.7×	42	1.2k
Antoine Daunay France	15	508 0.7×	206 0.7×	172 1.4×	74 0.7×	133 1.4×	26	796
Christine E. Napier Australia	14	514 0.7×	121 0.4×	116 1.0×	85 0.8×	36 0.4×	41	802
Brett Thomas United States	6	380 0.5×	324 1.1×	98 0.8×	53 0.5×	31 0.3×	6	784
Liesbeth Spruijt Netherlands	23	1.0k 1.4×	620 2.1×	222 1.8×	195 1.9×	143 1.5×	43	1.6k
Periklis Makrythanasis Switzerland	18	402 0.5×	278 0.9×	83 0.7×	80 0.8×	59 0.6×	58	798
Amy P. Webster United Kingdom	7	609 0.8×	130 0.4×	162 1.3×	116 1.2×	90 0.9×	11	879
Jordi Serra-Musach Spain	11	924 1.2×	226 0.8×	183 1.5×	148 1.5×	99 1.0×	16	1.1k
Lora Jh Bean United States	24	862 1.1×	606 2.0×	123 1.0×	154 1.5×	216 2.2×	58	1.6k

Countries citing papers authored by Tsun-Po Yang

Since Specialization

Citations

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

Fields of papers citing papers by Tsun-Po Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsun-Po Yang. 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 Tsun-Po Yang. The network helps show where Tsun-Po Yang may publish in the future.

Co-authorship network of co-authors of Tsun-Po Yang

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

All Works

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16 of 16 papers shown

Jung, Hyunchul, Tsun-Po Yang, Susan Walker, et al.. (2025). Complex de novo structural variants are an underestimated cause of rare disorders. Nature Communications. 16(1). 9528–9528.

Yuan, Yuan, et al.. (2024). Application and prognostic relevance of CD34 detection in immunophenotyping of pediatric acute B lymphoblastic leukemia.. PubMed. 28(9). 3384–3390. 1 indexed citations

Yang, Tsun-Po, et al.. (2023). NEMO- and RelA-dependent NF-κB signaling promotes small cell lung cancer. Cell Death and Differentiation. 30(4). 938–951. 8 indexed citations

Huang, Hung‐Ling, Po‐Liang Lu, Kun‐Der Lin, et al.. (2023). Gut microbiota composition can reflect immune responses of latent tuberculosis infection in patients with poorly controlled diabetes. Respiratory Research. 24(1). 11–11. 14 indexed citations

Cartolano, Maria, Nima Abedpour, Viktor Achter, et al.. (2020). CaMuS: simultaneous fitting and de novo imputation of cancer mutational signature. Scientific Reports. 10(1). 19316–19316. 6 indexed citations

Cun, Yupeng, Tsun-Po Yang, Viktor Achter, Ulrich Lang, & Martin Peifer. (2018). Copy-number analysis and inference of subclonal populations in cancer genomes using Sclust. Nature Protocols. 13(6). 1488–1501. 38 indexed citations

Schmitt, Anna, Gero Knittel, Tsun-Po Yang, et al.. (2017). ATM Deficiency Is Associated with Sensitivity to PARP1- and ATR Inhibitors in Lung Adenocarcinoma. Cancer Research. 77(11). 3040–3056. 82 indexed citations

Paul, Dirk S., James Nisbet, Tsun-Po Yang, et al.. (2011). Correction: Maps of Open Chromatin Guide the Functional Follow-Up of Genome-Wide Association Signals: Application to Hematological Traits. PLoS Genetics. 7(7). 2 indexed citations

Paul, Dirk S., James Nisbet, Tsun-Po Yang, et al.. (2011). Maps of Open Chromatin Guide the Functional Follow-Up of Genome-Wide Association Signals: Application to Hematological Traits. PLoS Genetics. 7(6). e1002139–e1002139. 29 indexed citations

10.

Rakyan, Vardhman K., Thomas A. Down, Siarhei Maslau, et al.. (2010). Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. Genome Research. 20(4). 434–439. 556 indexed citations breakdown →

11.

Yang, Tsun-Po, Claude Beazley, Stephen B. Montgomery, et al.. (2010). Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies. Bioinformatics. 26(19). 2474–2476. 186 indexed citations

12.

Yang, Tsun-Po, et al.. (2008). Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signatures. BMC Bioinformatics. 9(1). 58–58. 9 indexed citations

13.

Chang, Ting‐Yu, Chih‐Hung Jen, Tsun-Po Yang, et al.. (2008). easyExon – A Java-based GUI tool for processing and visualization of Affymetrix exon array data. BMC Bioinformatics. 9(1). 432–432. 14 indexed citations

14.

Tsai, Huai‐Kuang, et al.. (2008). Evolutionary conservation of DNA-contact residues in DNA-binding domains. BMC Bioinformatics. 9(S6). S3–S3. 4 indexed citations

15.

Yang, Tsun-Po, Ting‐Yu Chang, Chi‐Hung Lin, Ming‐Ta Hsu, & Hsei–Wei Wang. (2006). ArrayFusion: a web application for multi-dimensional analysis of CGH, SNP and microarray data. Bioinformatics. 22(21). 2697–2698. 19 indexed citations

16.

Innis, Jeffrey W., S. M. Darling, Kristin A. Kazen-Gillespie, et al.. (1996). Orientation of the Hoxa complex and placement of the Hd locus distal to Hoxa2 on mouse Chromosome 6. Mammalian Genome. 7(3). 216–217. 5 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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