C. Davies
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- Ubiquitin and proteasome pathways 7
- Glycosylation and Glycoproteins Research 1
- Protein Structure and Dynamics 1
- Endocrinology top 10%
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- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 4
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- Autophagy in Disease and Therapy 5
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- Monoclonal and Polyclonal Antibodies Research 2
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- interferon and immune responses 1
- Co-authors
- J. NoeskeJames K. NuñezAddison V. WrightJennifer A. DoudnaPhilip J. KranzuschChittaranjan DasLake N. PaulTushar Kanti Maiti
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
C. Davies
18 papers receiving 814 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Business and International Management 42
- Molecular Biology 678
- Endocrinology 44
- Aging 14
- Cell Biology 106
Countries citing papers authored by C. Davies
This map shows the geographic impact of C. Davies'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. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Davies more than expected).
Fields of papers citing papers by C. Davies
This network shows the impact of papers produced by C. Davies. 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. Davies. The network helps show where C. Davies may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Davies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 10 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 15 | |
| 7 | 2015 | 9 | |
| 8 | Cas1–Cas2 complex formation mediates spacer acquisition during CRISPR–Cas adaptive immunitybreakdown → | 2014 | 351 |
| 9 | 2014 | 52 | |
| 10 | 2014 | 61 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 33 | |
| 13 | 2012 | 41 | |
| 14 | 2011 | 42 | |
| 15 | 2010 | 87 | |
| 16 | 1997 | 9 | |
| 17 | 1975 | 1 | |
| 18 | 1951 | 3 |
About C. Davies
C. Davies is a scholar working on Cell Biology, Bioengineering, Epidemiology, Electrochemistry and Molecular Biology, having authored 18 papers that have together received 830 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Autophagy in Disease and Therapy (5 papers), Cellular transport and secretion (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), interferon and immune responses (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Business and International Management (42 citations), Molecular Biology (678 citations), Endocrinology (44 citations), Aging (14 citations) and Cell Biology (106 citations). C. Davies has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include J. Noeske, James K. Nuñez, Addison V. Wright, Jennifer A. Doudna, Philip J. Kranzusch, Chittaranjan Das, Lake N. Paul, Tushar Kanti Maiti, James H. Hurley and Goran Stjepanović. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Biochemistry, Molecular Cancer Therapeutics and Molecular Biology of the Cell.
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.