Fabrizio Accardi

915 citations
24 papers · 465 indexed · h-index 12
Topics
Multiple Myeloma Research and Treatments (21 papers)Peptidase Inhibition and Analysis (7 papers)Chemokine receptors and signaling (5 papers)
Journals
SHILAP Revista de lepidopterologíaBloodAnnals of the New York Academy of Sciences
Partner nations
ItalyUnited States

In The Last Decade

Fabrizio Accardi

22 papers receiving 459 citations

Peers

Fabrizio Accardi
Comparison fields: 5 of 59
  • Oncology 271
  • Hematology 271
  • Molecular Biology 206
  • Immunology 91
  • Genetics 35
Replace Joséphine Muller with:
Joséphine Muller Belgium
Sanne Hiddingh Netherlands
Gabi Vohwinkel Germany
Sabrin Tahri Netherlands
Ryan M. Carr United States
Silvia Peola Italy
Oreste Villani Italy
August H. Westra Netherlands
Kate Sasser United States
Fabrizio Accardi relative to Joséphine Muller Belgium Joséphine Muller's profile →
Citations per field
00.5×1.5×2.1×
Joséphine Muller · 1×
Citations per year

Countries citing papers authored by Fabrizio Accardi

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Accardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Accardi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Accardi. A scholar is included among the top collaborators of Fabrizio Accardi 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 Fabrizio Accardi. Fabrizio Accardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3 51
4 15
5 24
6 24
7 3
8 2
9 0
10 1
11 15
12 28
13 11
14 2
15 2
16 1
17 41
18 90
19 2
20 46

About Fabrizio Accardi

Fabrizio Accardi is a scholar working on Hematology, Oncology and Physiology, having authored 24 papers that have together received 465 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Peptidase Inhibition and Analysis (7 papers) and Chemokine receptors and signaling (5 papers). The work is most often cited by research in Hematology (271 citations), Oncology (271 citations) and Immunology (91 citations). Fabrizio Accardi has collaborated with scholars based in Italy and United States. Frequent co-authors include Nicola Giuliani, Franco Aversa, Denise Toscani, Marina Bolzoni, Benedetta Dalla Palma, Valentina Marchica, Federica Costa, Eugenia Martella, Cristina Mancini and Paola Storti. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Annals of the New York Academy of Sciences.

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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