Fabiana Topini

18 total papers · 1.3k total citations
16 papers, 1.0k citations indexed

About

Fabiana Topini is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Fabiana Topini has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Hematology and 5 papers in Oncology. Recurrent topics in Fabiana Topini's work include T-cell and B-cell Immunology (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Immune Cell Function and Interaction (5 papers). Fabiana Topini is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Immune Cell Function and Interaction (5 papers). Fabiana Topini collaborates with scholars based in Italy, Switzerland and Sweden. Fabiana Topini's co-authors include Andrea Velardi, Franco Aversa, Maria Paola Martelli, Alessandra Carotti, Katia Perruccio, Antonella Mancusi, Loredana Ruggeri, Elena Urbani, Emanuela Burchielli and Marusca Capanni and has published in prestigious journals such as Blood, Annals of the New York Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Fabiana Topini

15 papers receiving 988 citations

Author Peers

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

Author						Papers	Cites
Fabiana Topini	717	577	308	239	127	16	1.0k
Monja A. Dawson	685 1.0×	699 1.2×	214 0.7×	373 1.6×	70 0.6×	19	1.1k
Michel Starobinski	573 0.8×	516 0.9×	183 0.6×	229 1.0×	106 0.8×	17	947
TN Small	633 0.9×	681 1.2×	341 1.1×	432 1.8×	88 0.7×	14	1.2k
Menno A. W. G. van der Hoorn	780 1.1×	292 0.5×	495 1.6×	188 0.8×	64 0.5×	11	1.1k
DavidT. Purtilo	465 0.6×	146 0.3×	343 1.1×	185 0.8×	166 1.3×	9	834
Nina K. Steckel	425 0.6×	513 0.9×	151 0.5×	261 1.1×	68 0.5×	36	967
Susan DeWolf	462 0.6×	190 0.3×	152 0.5×	166 0.7×	165 1.3×	27	935
Müller Ca	296 0.4×	351 0.6×	188 0.6×	541 2.3×	109 0.9×	27	1.1k
A Mazumder	545 0.8×	277 0.5×	307 1.0×	165 0.7×	163 1.3×	27	993
Nancy Collins	529 0.7×	534 0.9×	218 0.7×	111 0.5×	41 0.3×	34	1.0k

Countries citing papers authored by Fabiana Topini

Since Specialization

Citations

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

Fields of papers citing papers by Fabiana Topini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabiana Topini. 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 Fabiana Topini. The network helps show where Fabiana Topini may publish in the future.

Co-authorship network of co-authors of Fabiana Topini

This figure shows the co-authorship network connecting the top 25 collaborators of Fabiana Topini. A scholar is included among the top collaborators of Fabiana Topini 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 Fabiana Topini. Fabiana Topini 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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