Fabio Massimo Perrotta

2.0k citations
106 papers · 1.3k indexed · h-index 23

Fabio Massimo Perrotta

93 papers receiving 1.3k citations

Peers

Fabio Massimo Perrotta
Comparison fields: 5 of 77
  • Rheumatology 1.1k
  • Hematology 512
  • Immunology 815
  • Complementary and Manual Therapy 14
  • Dermatology 48
Replace Julio Ramírez with:
Julio Ramírez Spain
C. Stolwijk Netherlands
Eleanor Korendowych United Kingdom
Raquel Almodóvar Spain
Fernando Pimentel‐Santos Portugal
Ernst Feldtkeller Germany
L G Kennedy United Kingdom
P T Dawes United Kingdom
C. Kaufmann Norway
Giovanni Ciancìo Italy
Fabio Massimo Perrotta relative to Julio Ramírez Spain Julio Ramírez's profile →
Citations per field
00.5×3.5×
Julio Ramírez · 1×
Citations per year

Countries citing papers authored by Fabio Massimo Perrotta

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Massimo Perrotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Massimo Perrotta. 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 Fabio Massimo Perrotta. The network helps show where Fabio Massimo Perrotta may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Fabio Massimo Perrotta, 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 Fabio Massimo Perrotta Line = papers co-authored together Fabio Massimo Perrotta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20241
6 20241
7 20240
8 20240
9 20231
10 202312
11 20231
12 20233
13
Therapeutic Targets for Ankylosing Spondylitis – Recent Insights and Future Prospects
20226
14 20218
15 20208
16 202012
17 201825
18 201828
19 201767
20 201611

About Fabio Massimo Perrotta

Fabio Massimo Perrotta is a scholar working on Rheumatology, Hematology and Immunology, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (77 papers), Psoriasis: Treatment and Pathogenesis (61 papers), Rheumatoid Arthritis Research and Therapies (40 papers), Autoimmune and Inflammatory Disorders Research (36 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Inflammasome and immune disorders (4 papers) and Bone and Joint Diseases (4 papers). The work is most often cited by research in Rheumatology (1.1k citations), Hematology (512 citations) and Immunology (815 citations). Fabio Massimo Perrotta has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Ennio Lubrano, Silvia Scriffignano, Antonio Marchesoni, Wendy J. Parsons, Carlo Salvarani, Leonardo Punzi, Olga Addimanda, Salvatore D’Angelo, Ignazio Olivieri and Antonio Spadaro. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Drugs.

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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