Fortunata Carbone

3.0k citations
35 papers · 2.2k indexed · h-index 23
Topics
T-cell and B-cell Immunology (9 papers)Immune Cell Function and Interaction (8 papers)Multiple Sclerosis Research Studies (7 papers)
Partner nations
ItalyUnited StatesSweden

In The Last Decade

Fortunata Carbone

34 papers receiving 2.2k citations

Peers

Fortunata Carbone
Comparison fields: 5 of 115
  • Immunology 1.0k
  • Epidemiology 520
  • Molecular Biology 389
  • Physiology 357
  • Endocrine and Autonomic Systems 320
Replace Mario Galgani with:
Mario Galgani Italy
Claudia La Rocca Italy
Jean Pierre Schatzmann Peron Brazil
Zoltán H. Németh United States
Huaizhu Wu United States
Alberto Baroja‐Mazo Spain
Hubert Tsui Canada
Diane Kepka‐Lenhart United States
Balázs Csóka United States
Andrew E. Hogan Ireland
Fortunata Carbone relative to Mario Galgani Italy Mario Galgani's profile →
Citations per field
00.5×1.5×
Mario Galgani · 1×
Citations per year

Countries citing papers authored by Fortunata Carbone

Since Specialization
Citations

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

Fields of papers citing papers by Fortunata Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fortunata Carbone

This figure shows the co-authorship network connecting the top 25 collaborators of Fortunata Carbone. A scholar is included among the top collaborators of Fortunata Carbone 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 Fortunata Carbone. Fortunata Carbone 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 7
2 2
3 10
4 3
5 51
6 21
7 10
8 27
9 98
10 5
11 11
12 92
13 23
14 211
15 72
16 169
17 160
18 59
19 27
20 48

About Fortunata Carbone

Fortunata Carbone is a scholar working on Endocrine and Autonomic Systems, Immunology and Pathology and Forensic Medicine, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Multiple Sclerosis Research Studies (7 papers). The work is most often cited by research in Immunology (1.0k citations), Endocrine and Autonomic Systems (320 citations) and Biological Psychiatry (44 citations). Fortunata Carbone has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Giuseppe Matarese, Claudia La Rocca, Veronica De Rosa, Claudio Procaccini, Mario Galgani, Antonio La Cava, Salvatore Longobardi, Antonio Porcellini, Gaetano Calı̀ and Silvia Fontana. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Immunity.

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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