Michael E. Coulter

3.3k citations
16 papers · 1.3k · 1 hit paper · h-index 10

Impact in

Papers in

Michael E. Coulter

16 papers receiving 1.3k citations

Michael E. Coulter's Hit Papers

Aging and neurodegeneration are associated with increased mutations in single human neurons 2017 · 447 citations
4470+3+6Years since publication100200300400

Peers

Michael E. Coulter
Comparison fields: 5 of 98
  • Aging 35
  • Cognitive Neuroscience 284
  • Genetics 390
  • Cancer Research 186
  • Molecular Biology 492
Replace Daniel Coman with:
Daniel Coman United States
Zhenyu Wu China
Surya A. Reis United States
Debanjan Goswami United States
Hugo Oppelaar Netherlands
Yuan Shang China
Shan Chen China
Yeon Kyung Lee South Korea
Xiaobo Zhou China
Huaye Zhang 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

16 of 16 papers shown
#Work
1
Aging and neurodegeneration are associated with increased mutations in single human neurons
Hit paper breakdown →
2017447
2 2003164
3
Whole-Exome Sequencing and Homozygosity Analysis Implicate Depolarization-Regulated Neuronal Genes in Autism
2012141
4 2012112
5 2003103
6 201193
7 202193
8 201965
9 200853
10 202133
11 20178
12 20217
13 20232
14 20022
15 20252
16 20202

About Michael E. Coulter

Michael E. Coulter is a scholar working on Cognitive Neuroscience, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Nanowire Synthesis and Applications (3 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Autism Spectrum Disorder Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), ZnO doping and properties (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (35 citations), Cognitive Neuroscience (284 citations), Genetics (390 citations), Cancer Research (186 citations) and Molecular Biology (492 citations). Michael E. Coulter has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher A. Walsh, Lifeng Dong, Jun Jiao, Maxwell A. Sherman, Michael A. Lodato, Alison R. Barton, Peter J. Park, Craig L. Bohrson, Lovelace J. Luquette and Rachel E. Rodin. Their work appears in journals such as Neuron, Science, Nucleic Acids Research, Chemical Physics Letters and Rapid Communications in Mass Spectrometry.

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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