Sara Bindoli

1.4k citations
32 papers · 476 · h-index 14

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Autoimmune and Inflammatory Disorders Research 12
    • Immune Cell Function and Interaction 5
    • IL-33, ST2, and ILC Pathways 4

Sara Bindoli

29 papers receiving 467 citations

Peers

Sara Bindoli
Comparison fields: 5 of 68
  • Hematology 137
  • Nephrology 86
  • Rheumatology 89
  • Immunology 93
  • Dermatology 24
Replace Maria Vincenza Mastrolia with:
Maria Vincenza Mastrolia Italy
J. C. Davin Belgium
Hiroki Hayashi Japan
Woon Sing Wong China
Johann Bartko Austria
Jin‐Soon Suh South Korea
Adrian J. Santiago Ortiz United States
M C Vial France
M Maruyama Japan
R Seelig Germany
Sara Bindoli relative to Maria Vincenza Mastrolia Italy Maria Vincenza Mastrolia's profile →
Citations per field
00.5×2×3×4.1×
Maria Vincenza Mastrolia · 1×
Citations per year

Countries citing papers authored by Sara Bindoli

Since Specialization
Citations

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

Fields of papers citing papers by Sara Bindoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 202159
3 201835
4 202034
5 202031
6 202024
7 201624
8 202417
9 202317
10 202417
11 201815
12 202315
13 202115
14 202213
15 202212
16 202112
17 202310
18 20249
19 20219
20 20228

About Sara Bindoli

Sara Bindoli is a scholar working on Hematology, Immunology, Molecular Biology, Rheumatology and Surgery, having authored 32 papers that have together received 476 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (12 papers), Inflammasome and immune disorders (11 papers), Immune Cell Function and Interaction (5 papers), Spondyloarthritis Studies and Treatments (4 papers), Kawasaki Disease and Coronary Complications (4 papers), Otitis Media and Relapsing Polychondritis (4 papers), IL-33, ST2, and ILC Pathways (4 papers) and Gout, Hyperuricemia, Uric Acid (3 papers). The work is most often cited by research in Hematology (137 citations), Nephrology (86 citations), Rheumatology (89 citations), Immunology (93 citations) and Dermatology (24 citations). Sara Bindoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Sfriso, Paola Galozzi, Andrea Doria, Francesca Oliviero, Eugen Feist, Chiara Baggio, Mara Felicetti, Bruno Fautrel, Arianna De Matteis and Fabrizio De Benedetti. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, Annals of the Rheumatic Diseases, Experimental Biology and Medicine 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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