C.T. De Rosa

23 total papers · 712 total citations
17 papers, 508 citations indexed

About

C.T. De Rosa is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Sociology and Political Science. According to data from OpenAlex, C.T. De Rosa has authored 17 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 6 papers in Cancer Research and 4 papers in Sociology and Political Science. Recurrent topics in C.T. De Rosa's work include Toxic Organic Pollutants Impact (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Carcinogens and Genotoxicity Assessment (6 papers). C.T. De Rosa is often cited by papers focused on Toxic Organic Pollutants Impact (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers) and Carcinogens and Genotoxicity Assessment (6 papers). C.T. De Rosa collaborates with scholars based in United States, Germany and Portugal. C.T. De Rosa's co-authors include Moiz Mumtaz, Hana R. Pohl, Hisham El‐Masri, Michael J. Fay, Henry S. Gardner, Jerry F. Stara, John A. Bantle, Rick A. Finch, Joanna Burger and Lorraine C. Backer and has published in prestigious journals such as Physical review. B, Condensed matter, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

C.T. De Rosa

17 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
C.T. De Rosa 282 94 57 52 39 17 508
Chu-Yang Chou 185 0.7× 39 0.4× 59 1.0× 73 1.4× 65 1.7× 24 496
Christopher T. DeRosa 274 1.0× 83 0.9× 81 1.4× 36 0.7× 43 1.1× 22 529
Florence Zeman 400 1.4× 109 1.2× 90 1.6× 49 0.9× 69 1.8× 34 604
D. Pépin 211 0.7× 21 0.2× 101 1.8× 110 2.1× 26 0.7× 29 568
Vita Marzia 263 0.9× 116 1.2× 114 2.0× 72 1.4× 36 0.9× 9 499
Michael Honeycutt 300 1.1× 90 1.0× 165 2.9× 37 0.7× 43 1.1× 19 542
Maurice E. Knuckles 313 1.1× 167 1.8× 52 0.9× 101 1.9× 39 1.0× 12 590
Patric Amcoff 151 0.5× 50 0.5× 29 0.5× 107 2.1× 63 1.6× 19 553
Nadia Quignot 220 0.8× 31 0.3× 131 2.3× 58 1.1× 53 1.4× 40 536
Brandy Beverly 266 0.9× 63 0.7× 92 1.6× 96 1.8× 14 0.4× 14 507

Countries citing papers authored by C.T. De Rosa

Since Specialization
Citations

This map shows the geographic impact of C.T. De Rosa'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.T. De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.T. De Rosa more than expected).

Fields of papers citing papers by C.T. De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.T. De Rosa. 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.T. De Rosa. The network helps show where C.T. De Rosa may publish in the future.

Co-authorship network of co-authors of C.T. De Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of C.T. De Rosa. A scholar is included among the top collaborators of C.T. De Rosa 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 C.T. De Rosa. C.T. De Rosa 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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