M Kellis

129.2k citations
209 papers · 38.1k · 23 hit papers · h-index 78

Impact in

  • Cancer Research top 0.05%
    • Cancer-related molecular mechanisms research
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering

Papers in

    • Genomics and Chromatin Dynamics 48
    • RNA and protein synthesis mechanisms 35
    • Epigenetics and DNA Methylation 29
    • Single-cell and spatial transcriptomics 26
    • RNA Research and Splicing 26
    • RNA modifications and cancer 23
    • Genomics and Phylogenetic Studies 23
    • Neuroinflammation and Neurodegeneration Mechanisms 20

M Kellis

204 papers receiving 37.5k citations

M Kellis's Hit Papers

Single-cell multiregion dissection of Alzheimer’s disease 2024 · 125 citations
1250+5+10Years since publication50010001.5k2.0k

Peers

M Kellis
Comparison fields: 5 of 202
  • Cancer Research 7.2k
  • Molecular Biology 28.1k
  • Aging 396
  • Neurology 1.6k
  • Genetics 5.5k
Replace Brad T. Sherman with:
Brad T. Sherman United States
T Gingeras United States
Richard A. Lempicki United States
Lior S. Pachter United States
G. Bader Canada
Chris Paul Ponting United Kingdom
Aravind N. Subramanian United States
Matthew E. Ritchie Australia
Christopher W. Benner United States
Peter Langfelder United States
M Kellis relative to Brad T. Sherman United States Brad T. Sherman's profile →
Citations per field
00.5×1.6×
Brad T. Sherman · 1×
Citations per year

Countries citing papers authored by M Kellis

Since Specialization
Citations

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

Fields of papers citing papers by M Kellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Hit paper breakdown →
20093396
2
Mapping and analysis of chromatin state dynamics in nine human cell types
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20112003
3
Discrete Small RNA-Generating Loci as Master Regulators of Transposon Activity in Drosophila
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20071936
4
Transcriptional regulatory code of a eukaryotic genome
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20041653
5
Single-cell transcriptomic analysis of Alzheimer’s disease
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20191538
6
Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals
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20051461
7
Sequencing and comparison of yeast species to identify genes and regulatory elements
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20031377
8
The NIH Roadmap Epigenomics Mapping Consortium
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20101291
9
Wisdom of crowds for robust gene network inference
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20121195
10
Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae
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20041134
11
FTO Obesity Variant Circuitry and Adipocyte Browning in Humans
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2015930
12
The Tissue-Specific lncRNA Fendrr Is an Essential Regulator of Heart and Body Wall Development in the Mouse
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2013800
13
PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions
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2011736
14
Discovery and characterization of chromatin states for systematic annotation of the human genome
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2010731
15
Genome-wide probing of RNA structure reveals active unfolding of mRNA structures in vivo
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2013658
16
HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease
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2015642
17
Unlocking the secrets of the genome
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2009589
18 2007570
19 2008530
20
Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes
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2015524

About M Kellis

M Kellis is a scholar working on Molecular Biology, Neurology, Genetics, Cancer Research and Physiology, having authored 209 papers that have together received 38.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (48 papers), RNA and protein synthesis mechanisms (35 papers), Epigenetics and DNA Methylation (29 papers), Single-cell and spatial transcriptomics (26 papers), RNA Research and Splicing (26 papers), RNA modifications and cancer (23 papers), Genomics and Phylogenetic Studies (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (20 papers). The work is most often cited by research in Cancer Research (7.2k citations), Molecular Biology (28.1k citations), Aging (396 citations), Neurology (1.6k citations) and Genetics (5.5k citations). M Kellis has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Eric S. Lander, Jason Ernst, Lucas D. Ward, Bruce W. Birren, Michael F. Lin, Tarjei S. Mikkelsen, B Bernstein, Irwin Jungreis, Alexander Stark and Pouya Kheradpour. Their work appears in journals such as Nature Communications, Nature, Nucleic Acids Research, Nature Biotechnology and Genome biology.

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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