C. M. Everett

723 citations
12 papers · 606 · h-index 6

Impact in

Papers in

C. M. Everett

12 papers receiving 589 citations

Peers

C. M. Everett
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 260
  • Molecular Biology 255
  • Genetics 76
  • Genetics 21
  • Microbiology 2
Replace Gudrun Schottmann with:
Gudrun Schottmann Germany
Samira Makri France
Alex Mas Monteys United States
Marion O. Scott United States
Nicole G.M. Wormskamp Netherlands
Jose Terron Bautista Spain
Pasquale Buanne Italy
Hongqing Du United States
Seumas McCroskery United States
Sita Reddy United States
C. M. Everett relative to Gudrun Schottmann Germany Gudrun Schottmann's profile →
Citations per field
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Gudrun Schottmann · 1×
Citations per year

Countries citing papers authored by C. M. Everett

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003223
2 2004147
3 2004116
4 201376
5 200713
6 19929
7
Contrasting properties of bradykinin receptor subtypes mediating contractions of the rabbit and pig isolated iris sphincter pupillae preparation.
19926
8 20136
9 20063
10 20073
11 20123
12 19991

About C. M. Everett

C. M. Everett is a scholar working on Cellular and Molecular Neuroscience, Genetics, Neurology, Microbiology and Urology, having authored 12 papers that have together received 606 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Epigenetics and DNA Methylation (1 paper), Urinary Bladder and Prostate Research (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Genomics and Chromatin Dynamics (1 paper), Hereditary Neurological Disorders (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Molecular Biology (255 citations), Genetics (76 citations), Genetics (21 citations) and Microbiology (2 citations). C. M. Everett has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Alexander Saveliev, Richard Festenstein, Zoë Webster, Hong Long Ji, Angela I. M. Barth, Xiang Fang, Ulrich W. Mueller, Pierre D. McCrea, Ian K. M. Morton and Judith M. Hall. Their work appears in journals such as Journal of Neurology, Journal of Neurology Neurosurgery & Psychiatry, Lara D. Veeken, Journal of the Royal Society of Medicine and Nature.

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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