Christopher M. Chamberlain

519 citations
9 papers · 400 · h-index 9

Impact in

Papers in

Christopher M. Chamberlain

9 papers receiving 400 citations

Peers

Christopher M. Chamberlain
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 178
  • Molecular Biology 334
  • Rehabilitation 26
  • Aging 7
  • Cardiology and Cardiovascular Medicine 70
Replace Susanne Morales-Gonzalez with:
Susanne Morales-Gonzalez Germany
Holly A. Hung United States
Hongyang Jing China
Jennifer Lévy United States
Don Henderson United States
Christopher B. Reid United States
M. Chaouch France
Michael G. Ricos Australia
Beatriz Llamusí Spain
Nicolas Pernet France
Christopher M. Chamberlain relative to Susanne Morales-Gonzalez Germany Susanne Morales-Gonzalez's profile →
Citations per field
00.5×3.0×
Susanne Morales-Gonzalez · 1×
Citations per year

Countries citing papers authored by Christopher M. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013148
2 201270
3 201642
4 202031
5 201829
6 201726
7 201823
8 201816
9 201715

About Christopher M. Chamberlain

Christopher M. Chamberlain is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cardiology and Cardiovascular Medicine and Neurology, having authored 9 papers that have together received 400 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cellular Mechanics and Interactions (2 papers), Biotin and Related Studies (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (178 citations), Molecular Biology (334 citations), Rehabilitation (26 citations), Aging (7 citations) and Cardiology and Cardiovascular Medicine (70 citations). Christopher M. Chamberlain has collaborated with scholars based in United States, Russia and Taiwan. Frequent co-authors include Laura P.W. Ranum, James M. Ervasti, Angus Lindsay, Dawn A. Lowe, Maurice S. Swanson, Apoorva Mohan, Sonisha Warren, Moyi Li, Ranjan Batra and Kuang‐Yung Lee. Their work appears in journals such as Human Molecular Genetics, Proceedings of the National Academy of Sciences, EMBO Molecular Medicine, Molecular Biology of the Cell and EBioMedicine.

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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