Daniela N. Petrusca

88 total papers · 1.2k total citations
39 papers, 959 citations indexed

About

Daniela N. Petrusca is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela N. Petrusca has authored 39 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Hematology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela N. Petrusca's work include Sphingolipid Metabolism and Signaling (11 papers), Multiple Myeloma Research and Treatments (9 papers) and Phagocytosis and Immune Regulation (5 papers). Daniela N. Petrusca is often cited by papers focused on Sphingolipid Metabolism and Signaling (11 papers), Multiple Myeloma Research and Treatments (9 papers) and Phagocytosis and Immune Regulation (5 papers). Daniela N. Petrusca collaborates with scholars based in United States, Italy and Romania. Daniela N. Petrusca's co-authors include Irina Petrache, Krzysztof Kamocki, Walter C. Hubbard, Kelly S. Schweitzer, Natalia Rush, Yuan Gu, Matthew J. Justice, Karina A. Serban, Daniela Matei and Liyun Cao and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Daniela N. Petrusca

38 papers receiving 946 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 N. Petrusca 524 303 175 148 137 39 959
Dariusz Zakrzewicz 483 0.9× 448 1.5× 241 1.4× 127 0.9× 152 1.1× 30 1.2k
Christine Payré 407 0.8× 227 0.7× 94 0.5× 110 0.7× 193 1.4× 32 1.1k
Teruaki Nishiuma 457 0.9× 350 1.2× 220 1.3× 102 0.7× 144 1.1× 42 961
R White 282 0.5× 304 1.0× 119 0.7× 178 1.2× 177 1.3× 21 910
Kaiser M. Bijli 521 1.0× 305 1.0× 180 1.0× 242 1.6× 230 1.7× 31 1.0k
Katja Porvari 599 1.1× 235 0.8× 98 0.6× 166 1.1× 182 1.3× 62 1.2k
Douglas Gibbs 348 0.7× 178 0.6× 99 0.6× 218 1.5× 293 2.1× 24 1.0k
Jeffrey D. Ritzenthaler 467 0.9× 449 1.5× 108 0.6× 120 0.8× 145 1.1× 35 1.2k
F. A. Blumenstock 313 0.6× 120 0.4× 105 0.6× 177 1.2× 162 1.2× 31 920
James D. Calore 232 0.4× 381 1.3× 164 0.9× 162 1.1× 165 1.2× 28 936

Countries citing papers authored by Daniela N. Petrusca

Since Specialization
Citations

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

Fields of papers citing papers by Daniela N. Petrusca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela N. Petrusca

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