C.E. Naylor

3.6k citations
49 papers · 2.8k indexed · h-index 30

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Ion channel regulation and function
    • Heat shock proteins research
    • Lipid Membrane Structure and Behavior

Papers in

C.E. Naylor

49 papers receiving 2.7k citations

Peers

C.E. Naylor
Comparison fields: 5 of 114
  • Infectious Diseases 702
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 414
  • Immunology 362
  • Structural Biology 24
Replace S Ohkuma with:
S Ohkuma Japan
IngMarie Nilsson Sweden
Brian V. Geisbrecht United States
Gongyi Zhang United States
Chwan‐Deng Hsiao Taiwan
Olwyn Byron United Kingdom
Roger Dawson Switzerland
Paulino Gómez‐Puertas Spain
Kevin D. Corbett United States
Matthias Trost United Kingdom
C.E. Naylor relative to S Ohkuma Japan S Ohkuma's profile →
Citations per field
00.5×3.1×
S Ohkuma · 1×
Citations per year

Countries citing papers authored by C.E. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by C.E. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012240
2 2009228
3 1998146
4 2016141
5 1999140
6 2017112
7 2014111
8 2016108
9 201192
10 201091
11 199491
12 201687
13 201184
14 201282
15 201174
16 201365
17 199864
18 201949
19 199947
20 200247

About C.E. Naylor

C.E. Naylor is a scholar working on Infectious Diseases, Immunology, Structural Biology, Clinical Biochemistry and Molecular Biology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (19 papers), Toxin Mechanisms and Immunotoxins (16 papers), Lipid Membrane Structure and Behavior (7 papers), Enzyme Structure and Function (7 papers), Ion channel regulation and function (6 papers), Bacterial Genetics and Biotechnology (5 papers), Biochemical and Molecular Research (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Infectious Diseases (702 citations), Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (414 citations), Immunology (362 citations) and Structural Biology (24 citations). C.E. Naylor has collaborated with scholars based in United Kingdom, United States and Costa Rica. Frequent co-authors include Ajit K. Basak, Richard W. Titball, Claire Bagnéris, B.A. Wallace, David S. Moss, Christos G. Savva, Paul G. DeCaen, Margaret Adams, A.R. Cole and C. Slingsby. Their work appears in journals such as Journal of Molecular Biology, Nature Communications, Journal of Biological Chemistry, Biochemistry and European Journal of Biochemistry.

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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