David U. Gorkin

14.0k citations

20 papers · 2.8k indexed · 4 hit papers · h-index 16

Co-authors: Bing Ren Jesse R. Dixon Danny Leung Dongwon Lee M Beer Andrew S. McCallion Maggie Baker Benjamin J. Strober
Topics: Genomics and Chromatin Dynamics (10 papers)RNA Research and Splicing (5 papers)Epigenetics and DNA Methylation (4 papers)
Cited by: Molecular Biology Genetics Cancer Research
Journals: Nature Cell Proceedings of the National Academy of Sciences
Partner nations: United States Belgium Germany

In The Last Decade

David U. Gorkin

20 papers receiving 2.8k 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.

CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function

2015 648 citations Ya Guo, Quan Xu et al. Cell profile →
Chromatin Domains: The Unit of Chromosome Organization

2016 504 citations Jesse R. Dixon, David U. Gorkin et al. Molecular Cell profile →
Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

2021 205 citations Joshua Chiou, Ryan J. Geusz et al. Nature profile →
Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation

2021 184 citations Naoki Kubo, Haruhiko Ishii et al. Nature Structural & Molecular Biology profile →

Peers

Countries citing papers authored by David U. Gorkin

Since Specialization

Citations

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

Fields of papers citing papers by David U. Gorkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David U. Gorkin. 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 David U. Gorkin. The network helps show where David U. Gorkin may publish in the future.

Co-authorship network of co-authors of David U. Gorkin

This figure shows the co-authorship network connecting the top 25 collaborators of David U. Gorkin. A scholar is included among the top collaborators of David U. Gorkin 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 David U. Gorkin. David U. Gorkin 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

#	Work	Indexed citations
1	Removing unwanted variation between samples in Hi-C experiments 2024 ·Briefings in Bioinformatics ·Kipper Fletez‐Brant,Yunjiang Qiu,David U. Gorkin,Ming Hu,Kasper D. Hansen	3
2	Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood 2023 ·PLoS Genetics ·Paola Benaglio,(unknown),Jee Yun Han,Joshua Chiou,Anthony Aylward,(unknown),Michael Miller,Mei-Lin Okino,(unknown),Sebastian Preißl,David U. Gorkin,Kyle J. Gaulton	15
3	Rapid changes in chromatin structure during dedifferentiation of primary hepatocytes in vitro 2022 ·Genomics ·(unknown),Srikumar Sengupta,Scott Swanson,Brian E. McIntosh,Mike Collins,Li‐Fang Chu,Cheng Zhang,David U. Gorkin,Bret Duffin,Jennifer M. Bolin,(unknown),Ron Stewart,James A. Thomson	8
4	Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activationbreakdown → 2021 ·Nature Structural & Molecular Biology ·Naoki Kubo,Haruhiko Ishii,Xiong Xiong,Simona Bianco,Franz Meitinger,Rong Hu,James D. Hocker,Mattia Conte,David U. Gorkin,Miao Yu,Bin Li,Jesse R. Dixon,Ming Hu,Mario Nicodemi,Huimin Zhao,Bing Ren	184
5	Interpreting type 1 diabetes risk with genetics and single-cell epigenomicsbreakdown → 2021 ·Nature ·Joshua Chiou,Ryan J. Geusz,Mei-Lin Okino,Jee Yun Han,Michael Miller,Rebecca Melton,Elisha Beebe,Paola Benaglio,Serina Huang,Katha Korgaonkar,Sandra Heller,Alexander Kleger,Sebastian Preißl,David U. Gorkin,Maike Sander,Kyle J. Gaulton	205
6	Single-cell chromatin accessibility identifies pancreatic islet cell type– and state-specific regulatory programs of diabetes risk 2021 ·Nature Genetics ·Joshua Chiou,Chun Zeng,Cheng Zhang,Jee Yun Han,Michael Schlichting,Michael Miller,Robert Mendez,Serina Huang,Jinzhao Wang,Yinghui Sui,(unknown),Mei-Lin Okino,Yunjiang Qiu,Ying Sun,Parul Kudtarkar,Rongxin Fang,Sebastian Preißl,Maike Sander,David U. Gorkin,Kyle J. Gaulton	89
7	Interpreting type 1 diabetes risk with genetics and single-cell epigenomics 2021 ·Yearbook of pediatric endocrinology ·Joshua Chiou,Ryan J. Geusz,Mei-Lin Okino,Jee Yun Han,Michael Miller,Rebecca Melton,Elisha Beebe,Paola Benaglio,Serina Huang,Katha Korgaonkar,Sandra Heller,Alexander Kleger,Sebastian Preißl,David U. Gorkin,Maike Sander,Kyle J. Gaulton	2
8	Spatiotemporal DNA methylome dynamics of the developing mouse fetus 2020 ·Nature ·Yupeng He,Manoj Hariharan,David U. Gorkin,Diane E. Dickel,Chongyuan Luo,Rosa Castanon,Joseph R. Nery,Ah Young Lee,Yuan Zhao,Hui Huang,Brian A. Williams,Diane Trout,Henry Amrhein,Rongxin Fang,Huaming Chen,Bin Li,Axel Visel,L Pennacchio,Bing Ren,Joseph R. Ecker	78
9	Common DNA sequence variation influences 3-dimensional conformation of the human genome 2019 ·Genome biology ·David U. Gorkin,Yunjiang Qiu,Ming Hu,Kipper Fletez‐Brant,Tristin Liu,Anthony D. Schmitt,Amina Noor,Joshua Chiou,Kyle J. Gaulton,Jonathan Sebat,Yun Li,Kasper D. Hansen,Bing Ren	47
10	Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation 2018 ·Nature Neuroscience ·Sebastian Preißl,Rongxin Fang,Hui Huang,Yuan Zhao,Ramya Raviram,David U. Gorkin,Yanxiao Zhang,Brandon C. Sos,Veena Afzal,Diane E. Dickel,Samantha Kuan,Axel Visel,L Pennacchio,Kun Zhang,Bing Ren	195
11	Improved regulatory element prediction based on tissue-specific local epigenomic signatures 2017 ·Proceedings of the National Academy of Sciences ·Yupeng He,David U. Gorkin,Diane E. Dickel,Joseph R. Nery,Rosa Castanon,Ah Young Lee,Yin Shen,Axel Visel,L Pennacchio,Bing Ren,Joseph R. Ecker	45
12	Chromatin Domains: The Unit of Chromosome Organizationbreakdown → 2016 ·Molecular Cell ·Jesse R. Dixon,David U. Gorkin,Bing Ren	504
13	CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Functionbreakdown → 2015 ·Cell ·Ya Guo,Quan Xu,Daniele Canzio,Jia Shou,Jinhuan Li,David U. Gorkin,Inkyung Jung,Haiyang Wu,Yanan Zhai,Yuanxiao Tang,Yichao Lu,Yonghu Wu,Zhilian Jia,Wei Li,(unknown),Bing Ren,Adrian R. Krainer,Tom Maniatis,Qiang Wu	648
14	Genomic analysis reveals distinct mechanisms and functional classes of SOX10-regulated genes in melanocytes 2015 ·Human Molecular Genetics ·Temesgen Fufa,Melissa L. Harris,Dawn E. Watkins‐Chow,Denise J. Levy,David U. Gorkin,Derek Gildea,Lingyun Song,Alexias Safi,Gregory E. Crawford,Elena V. Sviderskaya,Dorothy C. Bennett,Andrew S. McCallion,Stacie K. Loftus,William J. Pavan	33
15	A method to predict the impact of regulatory variants from DNA sequence 2015 ·Nature Genetics ·Dongwon Lee,David U. Gorkin,Maggie Baker,Benjamin J. Strober,(unknown),Andrew S. McCallion,M Beer	294
16	The 3D Genome in Transcriptional Regulation and Pluripotency 2014 ·Cell stem cell ·David U. Gorkin,Danny Leung,Bing Ren	272
17	Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes 2012 ·Genome Research ·David U. Gorkin,Dongwon Lee,Xylena Reed,(unknown),Seneca L. Bessling,Stacie K. Loftus,M Beer,William J. Pavan,Andrew S. McCallion	54
18	SOX10 directly modulates ERBB3 transcription via an intronic neural crest enhancer 2011 ·BMC Developmental Biology ·Megana Prasad,Xylena Reed,David U. Gorkin,Julia C. Cronin,Anthony R. McAdow,(unknown),Chani J. Hodonsky,(unknown),John Svaren,Anthony Antonellis,Stephen L. Johnson,Stacie K. Loftus,William J. Pavan,Andrew S. McCallion	48
19	Knock in of the AKT1 E17K mutation in human breast epithelial cells does not recapitulate oncogenic PIK3CA mutations 2010 ·Oncogene ·Josh Lauring,David Cosgrove,Stefani C. Fontana,John P. Gustin,Hiroyuki Konishi,Abde M. Abukhdeir,Joseph P. Garay,Morassa Mohseni,Guoli Wang,Michaela J. Higgins,David U. Gorkin,Marcelo Reis,Bert Vogelstein,Kornélia Polyák,(unknown),Phillip Buckhaults,(unknown)	44
20	Oligodendroglial and pan‐neural crest expression of Cre recombinase directed by Sox10 enhancer 2009 ·genesis ·Zachary E. Stine,Jimmy Huynh,Stacie K. Loftus,David U. Gorkin,Amirali Salmasi,Thomas E. Novak,J. Todd Purves,Ronald Miller,Anthony Antonellis,John P. Gearhart,William J. Pavan,Andrew S. McCallion	24

About David U. Gorkin

David U. Gorkin is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 20 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Genetics (690 citations) and Cancer Research (262 citations). David U. Gorkin has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Bing Ren, Jesse R. Dixon, Danny Leung, Dongwon Lee, M Beer, Andrew S. McCallion, Maggie Baker, Benjamin J. Strober, Daniele Canzio and Yonghu Wu. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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