Christopher R. Daniels

28 total papers · 933 total citations
12 papers, 229 citations indexed

About

Christopher R. Daniels is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Christopher R. Daniels has authored 12 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Christopher R. Daniels's work include Ubiquitin and proteasome pathways (4 papers), Cardiac Fibrosis and Remodeling (4 papers) and Signaling Pathways in Disease (2 papers). Christopher R. Daniels is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cardiac Fibrosis and Remodeling (4 papers) and Signaling Pathways in Disease (2 papers). Christopher R. Daniels collaborates with scholars based in United States, France and India. Christopher R. Daniels's co-authors include Krishna Singh, Mahipal Singh, Suman Dalal, Cerrone R. Foster, William L. Joyner, Rebecca J. Steagall, Alain‐Pierre Gadeau, Qinqin Zha, Jonathan M. Peterson and Ying Li and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Life Sciences.

In The Last Decade

Christopher R. Daniels

12 papers receiving 226 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christopher R. Daniels 144 65 58 32 31 12 229
Shruti Daga 97 0.7× 34 0.5× 41 0.7× 46 1.4× 37 1.2× 16 290
Jie Li 169 1.2× 19 0.3× 57 1.0× 33 1.0× 58 1.9× 17 327
Christos Tzimas 158 1.1× 50 0.8× 46 0.8× 20 0.6× 66 2.1× 12 294
Shaunrick Stoll 169 1.2× 87 1.3× 18 0.3× 17 0.5× 35 1.1× 11 313
Ying Zhang 200 1.4× 36 0.6× 79 1.4× 50 1.6× 34 1.1× 17 291
Juan M. Adrian-Segarra 156 1.1× 93 1.4× 59 1.0× 46 1.4× 19 0.6× 10 322
María García‐Barcina 131 0.9× 30 0.5× 24 0.4× 39 1.2× 34 1.1× 17 312
Débora A. Casolari 90 0.6× 51 0.8× 19 0.3× 13 0.4× 12 0.4× 13 228
Miche Rombouts 87 0.6× 60 0.9× 45 0.8× 24 0.8× 32 1.0× 10 283
Thomas A. Blair 171 1.2× 133 2.0× 25 0.4× 25 0.8× 11 0.4× 11 329

Countries citing papers authored by Christopher R. Daniels

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. Daniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher R. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Daniels. A scholar is included among the top collaborators of Christopher R. Daniels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher R. Daniels. Christopher R. Daniels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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