Marina Fabbi

6.5k citations
93 papers · 5.2k indexed · 1 hit paper · h-index 36

Marina Fabbi

92 papers receiving 5.1k citations

Hit Papers

An alternative pathway of T-cell activation: A functional...1.0k19842026199820122505007501000

Peers

Marina Fabbi
Comparison fields: 5 of 119
  • Immunology 3.5k
  • Oncology 1.5k
  • Immunology and Allergy 305
  • Radiology, Nuclear Medicine and Imaging 929
  • Genetics 237
Replace Yasuharu Nishimura with:
Yasuharu Nishimura Japan
Takeshi Tsubata Japan
J A Ledbetter United States
Silvano Ferrini Italy
Mikael C. I. Karlsson Sweden
Bryan Irving United States
Clive R. Wood United States
Sophia N. Karagiannis United Kingdom
S Carrel Switzerland
Isaac P. Witz Israel
Marina Fabbi relative to Yasuharu Nishimura Japan Yasuharu Nishimura's profile →
Citations per field
00.5×1.5×1.9×
Yasuharu Nishimura · 1×
Citations per year

Countries citing papers authored by Marina Fabbi

Since Specialization
Citations

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

Fields of papers citing papers by Marina Fabbi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marina Fabbi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marina Fabbi Line = papers co-authored together Marina Fabbi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202361
2 202124
3 202018
4 202014
5 20204
6 201925
7 201337
8 201241
9 200932
10 200940
11 200613
12 200451
13 200319
14 200227
15 2000127
16 19998
17 199938
18 19978
19 1990449
20 1989471

About Marina Fabbi

Marina Fabbi is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 93 papers that have together received 5.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (25 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Immunotherapy and Immune Responses (20 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Immunology (3.5k citations), Oncology (1.5k citations) and Immunology and Allergy (305 citations). Marina Fabbi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Silvano Ferrini, Oreste Acuto, Ellis L. Reinherz, Veronika Groh, Stuart F. Schlossman, Grazia Carbotti, Stefan Meuer, Jack L. Strominger, David A. Fox and Rebecca E. Hussey. Their work appears in journals such as International Journal of Cancer, The Journal of Immunology, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Molecular Cancer Research.

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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