Len Taing

2.7k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Len Taing is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Len Taing has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Len Taing's work include Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (7 papers) and Genomics and Phylogenetic Studies (6 papers). Len Taing is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (7 papers) and Genomics and Phylogenetic Studies (6 papers). Len Taing collaborates with scholars based in United States, China and Spain. Len Taing's co-authors include Myles Brown, X. Shirley Liu, Clifford A. Meyer, Tao Liu, Chongzhi Zang, Hanfei Sun, Yong Zhang, Yiwen Chen, Bernett Lee and Michael Poidinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Len Taing

16 papers receiving 1.4k citations

Hit Papers

Cistrome: an integrative platform for transcriptional reg... 2011 2026 2016 2021 2011 100 200 300 400 500
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.

  1. Cistrome: an integrative platform for transcriptional regulation studies
    2011 512 citations Tao Liu, Jorge Ortíz et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Len Taing United States 13 1.1k 222 179 175 144 16 1.4k
Hanfei Sun United States 10 1.3k 1.1× 296 1.3× 212 1.2× 189 1.1× 198 1.4× 13 1.7k
Hisham Mohammed United Kingdom 17 1.3k 1.2× 181 0.8× 246 1.4× 265 1.5× 110 0.8× 29 1.7k
Capucine Van Rechem United States 19 1.8k 1.5× 308 1.4× 217 1.2× 158 0.9× 177 1.2× 30 2.0k
Sriganesh Jammula United Kingdom 12 917 0.8× 196 0.9× 142 0.8× 105 0.6× 84 0.6× 14 1.2k
Zhenqing Ye United States 19 852 0.7× 268 1.2× 158 0.9× 222 1.3× 100 0.7× 38 1.2k
Mikko Turunen Finland 13 810 0.7× 180 0.8× 256 1.4× 159 0.9× 95 0.7× 17 1.2k
Aurélien A. Sérandour France 13 945 0.8× 135 0.6× 145 0.8× 271 1.5× 77 0.5× 22 1.2k
Charles R. Holst United States 12 840 0.7× 235 1.1× 423 2.4× 173 1.0× 188 1.3× 14 1.4k
Shiming Jiang China 18 967 0.8× 178 0.8× 221 1.2× 332 1.9× 101 0.7× 40 1.3k
Antonis Kirmizis Cyprus 19 1.7k 1.5× 174 0.8× 300 1.7× 170 1.0× 84 0.6× 39 1.9k

Countries citing papers authored by Len Taing

Since Specialization
Citations

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

Fields of papers citing papers by Len Taing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Len Taing. 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 Len Taing. The network helps show where Len Taing may publish in the future.

Co-authorship network of co-authors of Len Taing

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

All Works

16 of 16 papers shown
1.
Taing, Len, et al.. (2023). Cistrome Data Browser: integrated search, analysis and visualization of chromatin data. Nucleic Acids Research. 52(D1). D61–D66. 24 indexed citations
2.
Yang, Lin, Jennifer Altreuter, Aashna Jhaveri, et al.. (2023). Tutorial: integrative computational analysis of bulk RNA-sequencing data to characterize tumor immunity using RIMA. Nature Protocols. 18(8). 2404–2414. 12 indexed citations
3.
L’Yi, Sehi, Mark S. Keller, Len Taing, et al.. (2023). Cistrome Explorer: an interactive visual analysis tool for large-scale epigenomic data. Bioinformatics. 39(2). 4 indexed citations
4.
Giannikou, Krinio, Elio Adib, Inga‐Marie Schaefer, et al.. (2022). Distinct oncogenic signatures in malignant PEComa and leiomyosarcoma identified by integrative RNA-seq and H3K27ac ChIP-seq analysis.. Journal of Clinical Oncology. 40(16_suppl). 11552–11552. 1 indexed citations
5.
Qiu, Xintao, Avery Feit, Ariel Feiglin, et al.. (2021). CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-Seq Analysis. Genomics Proteomics & Bioinformatics. 19(4). 652–661. 16 indexed citations
6.
Font‐Tello, Alba, Nikolas Kesten, Yingtian Xie, et al.. (2020). FiTAc-seq: fixed-tissue ChIP-seq for H3K27ac profiling and super-enhancer analysis of FFPE tissues. Nature Protocols. 15(8). 2503–2518. 22 indexed citations
7.
Cornwell, MacIntosh, Mahesh Vangala, Len Taing, et al.. (2018). VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis. BMC Bioinformatics. 19(1). 135–135. 109 indexed citations
8.
Severson, Eric A., Kelly L. Arnett, Hongfang Wang, et al.. (2017). Genome-wide identification and characterization of Notch transcription complex–binding sequence-paired sites in leukemia cells. Science Signaling. 10(477). 26 indexed citations
9.
Cejas, Paloma, Alessia Cavazza, Vı́ctor Moreno, et al.. (2016). Transcriptional Regulator CNOT3 Defines an Aggressive Colorectal Cancer Subtype. Cancer Research. 77(3). 766–779. 19 indexed citations
10.
Mei, Shenglin, Qian Qin, Qiu Wu, et al.. (2016). Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse. Nucleic Acids Research. 45(D1). D658–D662. 367 indexed citations
11.
Qin, Qian, Shenglin Mei, Qiu Wu, et al.. (2016). ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline. BMC Bioinformatics. 17(1). 404–404. 57 indexed citations
12.
Wang, Hongfang, Chongzhi Zang, Len Taing, et al.. (2013). NOTCH1–RBPJ complexes drive target gene expression through dynamic interactions with superenhancers. Proceedings of the National Academy of Sciences. 111(2). 705–710. 188 indexed citations
13.
Sun, Hanfei, Bo Qin, Tao Liu, et al.. (2013). CistromeFinder for ChIP-seq and DNase-seq data reuse. Bioinformatics. 29(10). 1352–1354. 13 indexed citations
14.
Qin, Bo, Meng Zhou, Ying Ge, et al.. (2012). CistromeMap: a knowledgebase and web server for ChIP-Seq and DNase-Seq studies in mouse and human. Bioinformatics. 28(10). 1411–1412. 25 indexed citations
15.
Liu, Tao, Jorge Ortíz, Len Taing, et al.. (2011). Cistrome: an integrative platform for transcriptional regulation studies. Genome biology. 12(8). R83–R83. 512 indexed citations breakdown →
16.
Bent, Gary D., Essaid Zerrad, Gary W. Trucks, Kenneth B. Wiberg, & Len Taing. (1999). Vibrational Analysis of the Ground States of Trifluoroacetyl Fluoride and Trifluoroacetyl Chloride. The Journal of Physical Chemistry A. 104(2). 370–379. 4 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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