Daniela D. de Carvalho

22 total papers · 488 total citations
14 papers, 398 citations indexed

About

Daniela D. de Carvalho is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Daniela D. de Carvalho has authored 14 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Daniela D. de Carvalho's work include Venomous Animal Envenomation and Studies (4 papers), Cell Adhesion Molecules Research (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). Daniela D. de Carvalho is often cited by papers focused on Venomous Animal Envenomation and Studies (4 papers), Cell Adhesion Molecules Research (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). Daniela D. de Carvalho collaborates with scholars based in Brazil, United States and France. Daniela D. de Carvalho's co-authors include Hervé Kovacic, José C. Novello, Marcela Haun, Fábio Trindade Maranhão Costa, Nelsón Durán, David Gregg, Sérgio Marangoni, Stephanie Schmitmeier, Francis S. Markland and Claude Penel and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and Antioxidants and Redox Signaling.

In The Last Decade

Daniela D. de Carvalho

14 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela D. de Carvalho 166 102 81 76 65 14 398
Eun-Ju Choi 145 0.9× 31 0.3× 27 0.3× 50 0.7× 32 0.5× 16 364
Christa Fiedler‐Nagy 174 1.0× 47 0.5× 12 0.1× 53 0.7× 67 1.0× 14 398
Yoshihito Shimoyama 189 1.1× 48 0.5× 13 0.2× 45 0.6× 97 1.5× 15 406
Yin‐Jeh Tzeng 198 1.2× 77 0.8× 34 0.4× 34 0.4× 22 0.3× 16 408
Karl J. Franek 201 1.2× 63 0.6× 22 0.3× 77 1.0× 22 0.3× 16 389
Richard M. Torczynski 216 1.3× 29 0.3× 32 0.4× 62 0.8× 76 1.2× 11 442
Kathrin Krakauer 146 0.9× 38 0.4× 20 0.2× 76 1.0× 66 1.0× 11 402
Giorgia Testoni 186 1.1× 34 0.3× 141 1.7× 214 2.8× 14 0.2× 22 413
Ricci J. Haines 179 1.1× 37 0.4× 28 0.3× 40 0.5× 14 0.2× 10 362
Hui Cao 187 1.1× 63 0.6× 19 0.2× 66 0.9× 15 0.2× 11 347

Countries citing papers authored by Daniela D. de Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Daniela D. de Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela D. de Carvalho. 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 Daniela D. de Carvalho. The network helps show where Daniela D. de Carvalho may publish in the future.

Co-authorship network of co-authors of Daniela D. de Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela D. de Carvalho. A scholar is included among the top collaborators of Daniela D. de Carvalho 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 Daniela D. de Carvalho. Daniela D. de Carvalho 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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2026