Raffaella Dell’Eva

25 total papers · 1.7k total citations
22 papers, 1.4k citations indexed

About

Raffaella Dell’Eva is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Raffaella Dell’Eva has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Immunology. Recurrent topics in Raffaella Dell’Eva's work include Angiogenesis and VEGF in Cancer (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Raffaella Dell’Eva is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Raffaella Dell’Eva collaborates with scholars based in Italy, United States and Germany. Raffaella Dell’Eva's co-authors include Adriana Albini, Ulrich Pfeffer, Douglas M. Noonan, Roberta Venè, Nicoletta Ferrari, Thomas Efferth, Alessandra Forlani, Beatrice E. Bachmeier, Gianfranco Fassina and Donald R. Buhler and has published in prestigious journals such as The Journal of Immunology, Circulation Research and Cancer.

In The Last Decade

Raffaella Dell’Eva

22 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Raffaella Dell’Eva	749	262	257	200	180	22	1.4k
Roberta Venè	774 1.0×	169 0.6×	272 1.1×	153 0.8×	164 0.9×	21	1.4k
Shuncai Zhang	608 0.8×	216 0.8×	243 0.9×	159 0.8×	308 1.7×	43	1.6k
Jun Hee Lim	1.1k 1.4×	240 0.9×	190 0.7×	80 0.4×	201 1.1×	38	1.7k
Sekhar Majumdar	728 1.0×	169 0.6×	310 1.2×	73 0.4×	283 1.6×	18	1.4k
Farid M.A. Hamada	557 0.7×	204 0.8×	111 0.4×	99 0.5×	198 1.1×	32	1.4k
Alexander A. Chumanevich	984 1.3×	419 1.6×	333 1.3×	84 0.4×	235 1.3×	46	1.8k
Guosheng Wu	923 1.2×	200 0.8×	130 0.5×	228 1.1×	208 1.2×	43	1.6k
Ewa Witort	1.1k 1.4×	131 0.5×	198 0.8×	92 0.5×	140 0.8×	33	1.7k
Ming-Ting Lee	728 1.0×	191 0.7×	129 0.5×	76 0.4×	166 0.9×	23	1.4k
Xiao Yao	942 1.3×	137 0.5×	114 0.4×	62 0.3×	155 0.9×	31	1.4k

Countries citing papers authored by Raffaella Dell’Eva

Since Specialization

Citations

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

Fields of papers citing papers by Raffaella Dell’Eva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raffaella Dell’Eva. 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 Raffaella Dell’Eva. The network helps show where Raffaella Dell’Eva may publish in the future.

Co-authorship network of co-authors of Raffaella Dell’Eva

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaella Dell’Eva. A scholar is included among the top collaborators of Raffaella Dell’Eva 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 Raffaella Dell’Eva. Raffaella Dell’Eva 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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