Mitchell Guttman

55k citations
78 papers · 42.6k · 25 hit papers · h-index 52

Impact in

  • Cancer Research top 0.02%
    • Cancer-related molecular mechanisms research
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms

Papers in

    • Cancer-related molecular mechanisms research 28
    • Genomics and Chromatin Dynamics 36
    • RNA Research and Splicing 17
    • Genomics and Phylogenetic Studies 8
    • Nuclear Structure and Function 4
    • Pluripotent Stem Cells Research 3
    • Epigenetics and DNA Methylation 3

Mitchell Guttman

77 papers receiving 42.1k citations

Mitchell Guttman's Hit Papers

Spatial multi-omics reveals cell-type-specific nuclear compartments 2025 · 38 citations
380+4+8Years since publication5001k1.5k

Peers

Mitchell Guttman
Comparison fields: 5 of 160
  • Cancer Research 14.3k
  • Molecular Biology 19.6k
  • Genetics 4.9k
  • Immunology 1.6k
  • Developmental Neuroscience 216
Replace Philipp Kapranov with:
Philipp Kapranov United States
Timo Lassmann Australia
Sam Griffiths‐Jones United Kingdom
Brian A. Williams United States
Anton James Enright United Kingdom
Yijun Ruan United States
Albin Sandelin Denmark
Julien Lagarde Spain
Eric Alexander Miska United Kingdom
Manuel G. Garber United States
Mitchell Guttman relative to Philipp Kapranov United States Philipp Kapranov's profile →
Citations per field
00.5×1.5×1.9×
Philipp Kapranov · 1×
Citations per year

Countries citing papers authored by Mitchell Guttman

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Guttman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitchell Guttman, 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 Mitchell Guttman Line = papers co-authored together Mitchell Guttman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrative genomics viewer
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201111329
2
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
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20093442
3
Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression
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20092445
4
Modular regulatory principles of large non-coding RNAs
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20121923
5
A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response
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20101783
6
lincRNAs act in the circuitry controlling pluripotency and differentiation
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20111601
7
Long non-coding RNAs: definitions, functions, challenges and recommendations
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20231520
8
m6A RNA methylation promotes XIST-mediated transcriptional repression
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20161435
9
Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs
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20101018
10
Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP)
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2016988
11
Local regulation of gene expression by lncRNA promoters, transcription and splicing
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2016975
12
The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3
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2015920
13
Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells
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2010837
14
A high-resolution map of human evolutionary constraint using 29 mammals
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2011834
15
Transcriptome-wide Mapping Reveals Widespread Dynamic-Regulated Pseudouridylation of ncRNA and mRNA
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2014827
16
Computational methods for transcriptome annotation and quantification using RNA-seq
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2011803
17
The Xist lncRNA Exploits Three-Dimensional Genome Architecture to Spread Across the X Chromosome
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2013803
18
Ribosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteins
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2013621
19
Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus
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2018620
20 2014513

About Mitchell Guttman

Mitchell Guttman is a scholar working on Cancer Research, Molecular Biology, Genetics, Information Systems and Management and Infectious Diseases, having authored 78 papers that have together received 42.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (36 papers), Cancer-related molecular mechanisms research (28 papers), RNA Research and Splicing (17 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), Genomics and Phylogenetic Studies (8 papers), Nuclear Structure and Function (4 papers), Pluripotent Stem Cells Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (14.3k citations), Molecular Biology (19.6k citations), Genetics (4.9k citations), Immunology (1.6k citations) and Developmental Neuroscience (216 citations). Mitchell Guttman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Eric S. Lander, John L. Rinn, Wendy Winckler, Jill P. Mesirov, Gad A. Getz, Helga Thorvaldsdóttir, Manuel G. Garber, Aviv Regev, Jesse Engreitz and Maite Huarte. Their work appears in journals such as Nature, Cell, Nature Methods, Science and Molecular Cell.

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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