Daniela T. Soltys

13 total papers · 419 total citations
9 papers, 316 citations indexed

About

Daniela T. Soltys is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Daniela T. Soltys has authored 9 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Daniela T. Soltys's work include DNA Repair Mechanisms (7 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Mitochondrial Function and Pathology (2 papers). Daniela T. Soltys is often cited by papers focused on DNA Repair Mechanisms (7 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Mitochondrial Function and Pathology (2 papers). Daniela T. Soltys collaborates with scholars based in Brazil, France and United States. Daniela T. Soltys's co-authors include Carlos Frederico Martins Menck, Sergio Verjovski‐Almeida, Felipe Beckedorff, Ana C. Ayupe, Murilo Sena Amaral, Helder I. Nakaya, Eduardo M. Reis, Clarissa Ribeiro Reily Rocha, Letícia Koch Lerner and Alain Sarasin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Daniela T. Soltys

9 papers receiving 316 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 T. Soltys 287 176 31 26 25 9 316
Wendy A. Pitman 179 0.6× 97 0.6× 58 1.9× 29 1.1× 34 1.4× 9 325
Julie K. De Zutter 251 0.9× 78 0.4× 41 1.3× 43 1.7× 36 1.4× 9 332
Amber N. Habowski 214 0.7× 125 0.7× 29 0.9× 57 2.2× 72 2.9× 11 357
Elizabeth G. Hunt 233 0.8× 81 0.5× 33 1.1× 21 0.8× 29 1.2× 8 330
Annamarie E. Allen 208 0.7× 108 0.6× 13 0.4× 38 1.5× 25 1.0× 8 296
Yannic Nonnenmacher 206 0.7× 113 0.6× 8 0.3× 24 0.9× 31 1.2× 10 313
Sara Laine-Menéndez 219 0.8× 139 0.8× 11 0.4× 33 1.3× 83 3.3× 11 310
Ann Kari Grindheim 251 0.9× 91 0.5× 20 0.6× 9 0.3× 25 1.0× 14 308
Mafei Xu 173 0.6× 60 0.3× 34 1.1× 39 1.5× 29 1.2× 12 237
Andrew Lewis 232 0.8× 140 0.8× 30 1.0× 21 0.8× 68 2.7× 8 343

Countries citing papers authored by Daniela T. Soltys

Since Specialization
Citations

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

Fields of papers citing papers by Daniela T. Soltys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela T. Soltys. 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 T. Soltys. The network helps show where Daniela T. Soltys may publish in the future.

Co-authorship network of co-authors of Daniela T. Soltys

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