John W. Whitaker

13.2k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

John W. Whitaker is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, John W. Whitaker has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Genetics. Recurrent topics in John W. Whitaker's work include Epigenetics and DNA Methylation (6 papers), Genomics and Phylogenetic Studies (5 papers) and Cancer-related gene regulation (5 papers). John W. Whitaker is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Genomics and Phylogenetic Studies (5 papers) and Cancer-related gene regulation (5 papers). John W. Whitaker collaborates with scholars based in United States, United Kingdom and China. John W. Whitaker's co-authors include Gary S. Firestein, David L. Boyle, Wei Wang, Kazuhisa Nakano, Wei Wang, Wei Wang, Zhao Chen, Glenn A. McConkey, David R. Westhead and Mengchi Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John W. Whitaker

26 papers receiving 1.7k 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 body epigenome maps reveal noncanonical DNA methylation variation

2015 424 citations Matthew D. Schultz, Yupeng He et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John W. Whitaker United States	20	1.1k	329	264	243	230	26	1.7k
Lisa D. McDaniel United States	16	1.2k 1.0×	224 0.7×	284 1.1×	341 1.4×	494 2.1×	33	1.8k
Teresita Díaz de Ståhl Sweden	23	810 0.7×	63 0.2×	607 2.3×	318 1.3×	278 1.2×	50	1.7k
Jacques Bollekens United States	14	983 0.9×	93 0.3×	275 1.0×	130 0.5×	265 1.2×	18	1.5k
Zhila Khalkhali‐Ellis United States	22	671 0.6×	217 0.7×	169 0.6×	524 2.2×	156 0.7×	41	1.4k
Elisha Roberson United States	17	1.4k 1.2×	122 0.4×	289 1.1×	282 1.2×	838 3.6×	29	2.8k
Vikki Rand United Kingdom	15	649 0.6×	91 0.3×	217 0.8×	248 1.0×	562 2.4×	25	1.6k
Lisa J. McReynolds United States	19	643 0.6×	66 0.2×	205 0.8×	107 0.4×	520 2.3×	51	1.4k
Julie Chaumeil France	24	1.5k 1.3×	133 0.4×	827 3.1×	295 1.2×	708 3.1×	37	2.4k
Jean‐Claude Chomel France	22	672 0.6×	271 0.8×	143 0.5×	170 0.7×	141 0.6×	75	1.8k
Gaël A. Millot France	20	1.0k 0.9×	47 0.1×	443 1.7×	99 0.4×	232 1.0×	36	1.5k

Countries citing papers authored by John W. Whitaker

Since Specialization

Citations

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

Fields of papers citing papers by John W. Whitaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Whitaker. 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 John W. Whitaker. The network helps show where John W. Whitaker may publish in the future.

Co-authorship network of co-authors of John W. Whitaker

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

All Works

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20 of 20 papers shown

Ai, Rizi, Emma Roberts, Erica N. Montano, et al.. (2024). Skin Cancer Risk Is Increased by Somatic Mutations Detected Noninvasively in Healthy-Appearing Sun-Exposed Skin. Journal of Investigative Dermatology. 144(10). 2187–2196.e13. 1 indexed citations

Kaufmann, Mark, Daniel M. Siegel, Michael Walker, et al.. (2024). Non-invasive Gene Expression Analysis Rules Out Melanoma with High Negative Predictive Value Regardless of Skin Phototype. SKIN The Journal of Cutaneous Medicine. 8(2). s384–s384. 1 indexed citations

Wang, Mengchi, Kai Zhang, Chengyu Liu, et al.. (2019). Identification of DNA motifs that regulate DNA methylation. Nucleic Acids Research. 47(13). 6753–6768. 37 indexed citations

Ai, Rizi, Teresina Laragione, Deepa Hammaker, et al.. (2018). Comprehensive epigenetic landscape of rheumatoid arthritis fibroblast-like synoviocytes. Nature Communications. 9(1). 1921–1921. 132 indexed citations

Maeshima, Keisuke, Stephanie M. Stanford, Deepa Hammaker, et al.. (2016). Abnormal PTPN11 enhancer methylation promotes rheumatoid arthritis fibroblast-like synoviocyte aggressiveness and joint inflammation. JCI Insight. 1(7). 42 indexed citations

Kamisugi, Yasuko, John W. Whitaker, & Andrew C. Cuming. (2016). The Transcriptional Response to DNA-Double-Strand Breaks in Physcomitrella patens. PLoS ONE. 11(8). e0161204–e0161204. 22 indexed citations

Walsh, Alice M., John W. Whitaker, Chaohua Huang, et al.. (2016). Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations. Genome biology. 17(1). 79–79. 42 indexed citations

Zhu, Yun, Zhao Chen, Kai Zhang, et al.. (2016). Constructing 3D interaction maps from 1D epigenomes. Nature Communications. 7(1). 10812–10812. 108 indexed citations

Spreafico, Roberto, Maura Rossetti, John W. Whitaker, et al.. (2016). Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4⁺T cell activation pathways. Proceedings of the National Academy of Sciences. 113(48). 13845–13850. 21 indexed citations

10.

Whitaker, John W., David L. Boyle, Beatrix Bartók, et al.. (2015). Integrative Omics Analysis of Rheumatoid Arthritis Identifies Non-Obvious Therapeutic Targets. PLoS ONE. 10(4). e0124254–e0124254. 45 indexed citations

11.

Schultz, Matthew D., Yupeng He, John W. Whitaker, et al.. (2015). Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523(7559). 212–216. 424 indexed citations breakdown →

12.

Ekwall, Anna‐Karin Hultgård, John W. Whitaker, Deepa Hammaker, et al.. (2015). The Rheumatoid Arthritis Risk Gene LBH Regulates Growth in Fibroblast‐like Synoviocytes. Arthritis & Rheumatology. 67(5). 1193–1202. 45 indexed citations

13.

Whitaker, John W., Zhao Chen, & Wei Wang. (2014). Predicting the human epigenome from DNA motifs. Nature Methods. 12(3). 265–272. 88 indexed citations

14.

Whitaker, John W., Tung Nguyen, Yun Zhu, André Wildberg, & Wei Wang. (2014). Computational schemes for the prediction and annotation of enhancers from epigenomic assays. Methods. 72. 86–94. 21 indexed citations

15.

Whitaker, John W., Robert Shoemaker, David L. Boyle, et al.. (2013). An imprinted rheumatoid arthritis methylome signature reflects pathogenic phenotype. Genome Medicine. 5(4). 40–40. 90 indexed citations

16.

Zhu, Yun, Lin Sun, Chen Zhao, et al.. (2013). Predicting enhancer transcription and activity from chromatin modifications. Nucleic Acids Research. 41(22). 10032–10043. 112 indexed citations

17.

Won, Kyoung‐Jae, Zheng Xu, John W. Whitaker, et al.. (2012). Global identification of transcriptional regulators of pluripotency and differentiation in embryonic stem cells. Nucleic Acids Research. 40(17). 8199–8209. 8 indexed citations

18.

Nakano, Kazuhisa, John W. Whitaker, David L. Boyle, Wei Wang, & Gary S. Firestein. (2012). DNA methylome signature in rheumatoid arthritis. Annals of the Rheumatic Diseases. 72(1). 110–117. 264 indexed citations

19.

Ward, William O., Carol D. Swartz, Nancy M. Hanley, et al.. (2009). Mutagen structure and transcriptional response: Induction of distinct transcriptional profiles in Salmonella TA100 by the drinking‐water mutagen MX and its homologues. Environmental and Molecular Mutagenesis. 51(1). 69–79. 4 indexed citations

20.

Whitaker, John W., Glenn A. McConkey, & David R. Westhead. (2009). The transferome of metabolic genes explored: analysis of the horizontal transfer of enzyme encoding genes in unicellular eukaryotes. Genome biology. 10(4). R36–R36. 45 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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