Clifford A. Meyer

39.9k citations

76 papers · 21.6k indexed · 7 hit papers · h-index 43

Impact in

Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Cancer Research top 0.5%
- Cancer-related molecular mechanisms research

Papers in

Numerical Analysis 7
- Advanced Optimization Algorithms Research 7
Molecular Biology 62
- Genomics and Chromatin Dynamics 43
- RNA Research and Splicing 19
- RNA modifications and cancer 16
- Epigenetics and DNA Methylation 13
- Single-cell and spatial transcriptomics 8
- RNA and protein synthesis mechanisms 8
- Genomics and Phylogenetic Studies 7

Co-authors: Myles Brown X. Shirley Liu Jérôme Eeckhoute Yong Zhang Tao Liu Wei Li Chad Nusbaum R Myers
Journals: Genome biology (8 papers)Genome Research (7 papers)Nature Communications (6 papers)Nucleic Acids Research (5 papers)Bioinformatics (4 papers)
Partner nations: United States China Canada

In The Last Decade

Clifford A. Meyer

74 papers receiving 21.4k citations

Hit Papers

7 papers align trajectories log scale

Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis 2018 · 524 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Nucleic Acids Research
2015 Genome Research
2011 Genome biology
2008 Cell
2008 Genome biology
2006 Nature Genetics
2005 Cell

Peers

Countries citing papers authored by Clifford A. Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Clifford A. Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clifford A. Meyer. 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 Clifford A. Meyer. The network helps show where Clifford A. Meyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Clifford A. Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Clifford A. Meyer Line = papers co-authored together Clifford A. Meyer links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Multi-batch single-cell comparative atlas construction by deep learning disentanglement Nature Communications ·Allen W. Lynch, Myles Brown, Clifford A. Meyer	2023	7
2	Cistrome Data Browser: integrated search, analysis and visualization of chromatin data Nucleic Acids Research ·Len Taing, Ariaki Dandawate, Sehi L’Yi, Nils Gehlenborg, Myles Brown, Clifford A. Meyer	2023	24
3	Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA Nature Communications ·Shengen Shawn Hu, Lin Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, Chongzhi Zang	2022	4
4	Fast alignment and preprocessing of chromatin profiles with Chromap Nature Communications ·Haowen Zhang, Li Song, Xiaotao Wang, Haoyu Cheng, Chenfei Wang, Clifford A. Meyer, Tao Liu, Ming Tang, Srinivas Aluru, Feng Yue, X. Shirley Liu, Heng Li	2021	78
5	Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data Genome biology ·Qian Qin, Jing‐Yu Fan, Rongbin Zheng, Changxin Wan, Shenglin Mei, Qiu Wu, Hanfei Sun, Myles Brown, Jing Zhang, Clifford A. Meyer, X. Shirley Liu	2020	168
6	Hdac3 is an epigenetic inhibitor of the cytotoxicity program in CD8 T cells The Journal of Experimental Medicine ·Rong En Tay, Olamide Olawoyin, Paloma Cejas, Yingtian Xie, Clifford A. Meyer, Yoshinaga Ito, Qing Yu Weng, David E. Fisher, Henry W. Long, Myles Brown, Hye‐Jung Kim, Kai W. Wucherpfennig	2020	46
7	Computational Approaches to Modeling Transcription Factor Activity and Gene Regulation Trends in Biochemical Sciences ·Clifford A. Meyer, X. Shirley Liu	2020	1
8	Cistrome Cancer: A Web Resource for Integrative Gene Regulation Modeling in Cancer Cancer Research ·Shenglin Mei, Clifford A. Meyer, Rongbin Zheng, Qian Qin, Qiu Wu, Peng Jiang, Bo Li, Xiaohui Shi, Binbin Wang, Jing‐Yu Fan, Celina Shih, Myles Brown, Chongzhi Zang, X. Shirley Liu	2017	106
9	High-dimensional genomic data bias correction and data integration using MANCIE Nature Communications ·Chongzhi Zang, Tao Wang, Ke Deng, Bo Li, Shengen Shawn Hu, Qian Qin, Tengfei Xiao, Shihua Zhang, Clifford A. Meyer, Housheng Hansen He, Myles Brown, Jun S. Liu, Yang Xie, X. Shirley Liu	2016	31
10	Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profiles Genome Research ·Su Wang, Chongzhi Zang, Tengfei Xiao, Jing‐Yu Fan, Shenglin Mei, Qian Qin, Qiu Wu, Xujuan Li, Kexin Xu, Housheng Hansen He, Myles Brown, Clifford A. Meyer, X. Shirley Liu	2016	60
11	Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse Nucleic Acids Research ·Shenglin Mei, Qian Qin, Qiu Wu, Hanfei Sun, Rongbin Zheng, Chongzhi Zang, Muyuan Zhu, Jiaxin Wu, Xiaohui Shi, Len Taing, Tao Liu, Myles Brown, Clifford A. Meyer, X. Shirley Liu	2016	367
12	Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification Nature Methods ·Housheng Hansen He, Clifford A. Meyer, Shengen Shawn Hu, Mei-Wei Chen, Chongzhi Zang, Yin Liu, Prakash K. Rao, Fei Teng, Han Xu, Henry W. Long, X. Shirley Liu, Myles Brown	2013	153
13	Target analysis by integration of transcriptome and ChIP-seq data with BETA Nature Protocols ·Su Wang, Hanfei Sun, Jian Ma, Chongzhi Zang, Chenfei Wang, Juan Wang, Qianzi Tang, Clifford A. Meyer, Yong Zhang, X. Shirley Liu	2013	340
14	A Comprehensive View of Nuclear Receptor Cancer Cistromes Cancer Research ·Qianzi Tang, Yiwen Chen, Clifford A. Meyer, Tim Geistlinger, Mathieu Lupien, Qian Wang, Tao Liu, Yong Zhang, Myles Brown, Xiaole Shirley Liu	2011	109
15	Cistrome: an integrative platform for transcriptional regulation studies Genome biology ·Tao Liu, Jorge Ortíz, Len Taing, Clifford A. Meyer, Bernett Lee, Yong Zhang, Hyunjin Shin, Swee Seong Wong, Jian Ma, Ying Lei, Utz Johann Pape, Michael Poidinger, Yiwen Chen, Kevin Yeung, Myles Brown, Yaron Turpaz, X. Shirley Liu Hit paper breakdown →	2011	512
16	Gene expression profiling of human breast tissue samples using SAGE-Seq Genome Research ·Zhenhua J. Wu, Clifford A. Meyer, Sibgat Choudhury, Michail Shipitsin, Reo Maruyama, Marina Bessarabova, Tatiana Nikolskaya, Saraswati Sukumar, Armin Schwartzman, Jun S. Liu, Kornélia Polyák, X. Shirley Liu	2010	28
17	Elucidation of the ELK1 target gene network reveals a role in the coordinate regulation of core components of the gene regulation machinery Genome Research ·Joanna Boros, Ian J. Donaldson, Amanda O’Donnell, Zaneta Odrowaz, Leo Zeef, Mathieu Lupien, Clifford A. Meyer, X. Shirley Liu, Myles Brown, Andrew D Sharrocks	2009	113
18	Cell-type selective chromatin remodeling defines the active subset of FOXA1-bound enhancers Genome Research ·Jérôme Eeckhoute, Mathieu Lupien, Clifford A. Meyer, Michael P. Verzi, Ramesh A. Shivdasani, X. Shirley Liu, Myles Brown	2009	86
19	Model-based Analysis of ChIP-Seq (MACS) Genome biology ·Yong Zhang, Tao Liu, Clifford A. Meyer, Jérôme Eeckhoute, David S. Johnson, B Bernstein, Chad Nusbaum, R Myers, Myles Brown, Wei Li, X. Shirley Liu Hit paper breakdown →	2008	11435
20	Genomic localization of RNA binding proteins reveals links between pre-mRNA processing and transcription Genome Research ·Ian A. Swinburne, Clifford A. Meyer, X. Shirley Liu, Pamela A. Silver, Alexander S. Brodsky	2006	46

About Clifford A. Meyer

Clifford A. Meyer is a scholar working on Numerical Analysis, Molecular Biology, Cancer Research, Genetics and Computational Theory and Mathematics, having authored 76 papers that have together received 21.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (43 papers), RNA Research and Splicing (19 papers), RNA modifications and cancer (16 papers), Epigenetics and DNA Methylation (13 papers), Single-cell and spatial transcriptomics (8 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers) and Advanced Optimization Algorithms Research (7 papers). The work is most often cited by research in Molecular Biology (16.9k citations), Cancer Research (2.8k citations), Aging (249 citations), Genetics (3.7k citations) and Numerical Analysis (509 citations). Clifford A. Meyer has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Myles Brown, X. Shirley Liu, Jérôme Eeckhoute, Yong Zhang, Tao Liu, Wei Li, Chad Nusbaum, R Myers, B Bernstein and David S. Johnson. Their work appears in journals such as Genome biology, Genome Research, Nature Communications, Nucleic Acids Research and Bioinformatics.

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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