Rosa D’Ambrosio

12 total papers · 929 total citations
9 papers, 701 citations indexed

About

Rosa D’Ambrosio is a scholar working on Hematology, Molecular Biology and Pharmacology. According to data from OpenAlex, Rosa D’Ambrosio has authored 9 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Rosa D’Ambrosio's work include Pharmacogenetics and Drug Metabolism (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Hemophilia Treatment and Research (2 papers). Rosa D’Ambrosio is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Hemophilia Treatment and Research (2 papers). Rosa D’Ambrosio collaborates with scholars based in Italy and United States. Rosa D’Ambrosio's co-authors include Maurizio Margaglione, Giovanna D’Andrea, Elvira Grandone, P Perna, Vincenzo Brancaccio, Massimiliano Chetta, Rosa Santacroce, Filomena Cappucci, Donatella Colaizzo and Cecilia Tibaldi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Fertility and Sterility.

In The Last Decade

Rosa D’Ambrosio

9 papers receiving 674 citations

Hit Papers

A polymorphism in the VKO... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Rosa D’Ambrosio 514 267 167 105 87 9 701
P Perna 492 1.0× 274 1.0× 159 1.0× 95 0.9× 71 0.8× 12 665
C.L. Aquilante 546 1.1× 187 0.7× 87 0.5× 137 1.3× 81 0.9× 9 842
Ann C. Barrett 498 1.0× 185 0.7× 86 0.5× 135 1.3× 50 0.6× 5 692
DL Veenstra 616 1.2× 224 0.8× 109 0.7× 153 1.5× 73 0.8× 30 818
Kathryn M. Momary 375 0.7× 180 0.7× 83 0.5× 161 1.5× 73 0.8× 37 746
J JOHNSON 328 0.6× 203 0.8× 71 0.4× 178 1.7× 216 2.5× 16 825
Kristin D. Marciante 193 0.4× 125 0.5× 98 0.6× 114 1.1× 145 1.7× 17 766
Ross F. Lawrence 479 0.9× 96 0.4× 95 0.6× 52 0.5× 128 1.5× 20 767
Hugo Kohnke 478 0.9× 110 0.4× 57 0.3× 213 2.0× 172 2.0× 10 847
Rianne MF van Schie 398 0.8× 64 0.2× 63 0.4× 204 1.9× 97 1.1× 17 664

Countries citing papers authored by Rosa D’Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Rosa D’Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa D’Ambrosio. 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 Rosa D’Ambrosio. The network helps show where Rosa D’Ambrosio may publish in the future.

Co-authorship network of co-authors of Rosa D’Ambrosio

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa D’Ambrosio. A scholar is included among the top collaborators of Rosa D’Ambrosio 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 Rosa D’Ambrosio. Rosa D’Ambrosio 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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