Michael E. Coulter

3.2k citations
15 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Michael E. Coulter

14 papers receiving 1.1k citations

Michael E. Coulter's Hit Papers

Aging and neurodegeneration are associated with increased mutations in single human neurons 2017 · 389 citations
3890+3+6Years since publication100200300

Peers

Michael E. Coulter
Comparison fields: 5 of 89
  • Aging 35
  • Cancer Research 189
  • Cognitive Neuroscience 219
  • Genetics 311
  • Molecular Biology 446
Replace Daniel Coman with:
Daniel Coman United States
Huaye Zhang United States
Zhenyu Wu China
Debanjan Goswami United States
Huisheng Liu China
Shan Chen China
Surya A. Reis United States
Yusuke Hirabayashi Japan
Lei Xing United States
Jaewon Shim United States
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Citations per year

Countries citing papers authored by Michael E. Coulter

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Coulter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Aging and neurodegeneration are associated with increased mutations in single human neurons
Hit paper breakdown →
2017389
2 2003163
3
Whole-Exome Sequencing and Homozygosity Analysis Implicate Depolarization-Regulated Neuronal Genes in Autism
2012131
4 2003101
5 202189
6 201184
7 201963
8 200849
9 202131
10 20178
11 20217
12 20022
13 20202
14 20251
15 20230

About Michael E. Coulter

Michael E. Coulter is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Nanowire Synthesis and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (3 papers), Single-cell and spatial transcriptomics (2 papers), ZnO doping and properties (2 papers), Cancer Genomics and Diagnostics (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (35 citations), Cancer Research (189 citations), Cognitive Neuroscience (219 citations), Genetics (311 citations) and Molecular Biology (446 citations). Michael E. Coulter has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jun Jiao, Lifeng Dong, Christopher A. Walsh, Alison R. Barton, Michael A. Lodato, Peter J. Park, Maxwell A. Sherman, David W. Tuggle, Lovelace J. Luquette and Min‐Seok Kwon. Their work appears in journals such as Science, Neuron, Nature Genetics, Journal of the American Society for Mass Spectrometry and Dalton Transactions.

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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