Michael D. Litt

2.2k citations
14 papers · 1.7k · h-index 12

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Epigenetics and DNA Methylation 9
    • Genomics and Chromatin Dynamics 8
    • Cancer-related gene regulation 6
    • RNA modifications and cancer 4
    • RNA Research and Splicing 2
    • Genetics and Neurodevelopmental Disorders 2

Michael D. Litt

14 papers receiving 1.7k citations

Peers

Michael D. Litt
Comparison fields: 5 of 74
  • Molecular Biology 1.5k
  • Genetics 379
  • Plant Science 189
  • Genetics 49
  • Immunology 93
Replace Marina V. Kisseleva with:
Marina V. Kisseleva United States
Andrea Smallwood United States
Claudia Canzonetta Italy
Benjamin E. Powell United States
Chul‐Hwan Lee United States
Sonia Verp Switzerland
Kiyoe Ura Japan
Heather C. Gregson United States
Roman Alpatov United States
Scott McMahon United States
Michael D. Litt relative to Marina V. Kisseleva United States Marina V. Kisseleva's profile →
Citations per field
00.5×1.5×
Marina V. Kisseleva · 1×
Citations per year

Countries citing papers authored by Michael D. Litt

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Litt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Litt. 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 Michael D. Litt. The network helps show where Michael D. Litt may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001497
2 2002312
3 2002224
4 2004209
5 2005195
6 200477
7 200970
8 201349
9 200430
10 201127
11 199720
12 199919
13 19969
14 20122

About Michael D. Litt

Michael D. Litt is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Hematology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (8 papers), Cancer-related gene regulation (6 papers), RNA modifications and cancer (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), RNA Research and Splicing (2 papers), Acute Myeloid Leukemia Research (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Genetics (379 citations), Plant Science (189 citations), Genetics (49 citations) and Immunology (93 citations). Michael D. Litt has collaborated with scholars based in United States and China. Frequent co-authors include Gary Felsenfeld, Miklós Gaszner, Suming Huang, Melanie A. Simpson, Adam G. West, C. David Allis, Félix Recillas‐Targa, Bonnie Burgess-Beusse, Michael J. Pikaart and Adam C. Bell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Molecular and Cellular Biology, Cold Spring Harbor Symposia on Quantitative Biology and Journal of Biological Chemistry.

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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