Sara Tassi

2.0k citations
12 papers · 1.6k · h-index 11

Impact in

  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research
  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Inflammasome and immune disorders 7
    • IL-33, ST2, and ILC Pathways 3
    • Immune Response and Inflammation 2
    • Immune Cell Function and Interaction 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1

Sara Tassi

11 papers receiving 1.6k citations

Peers

Sara Tassi
Comparison fields: 5 of 97
  • Hematology 423
  • Immunology 736
  • Physiology 156
  • Speech and Hearing 113
  • Molecular Biology 1.1k
Replace Sonia Carta with:
Sonia Carta Italy
Denise Lasigliè Italy
María Barberà-Cremades Spain
Michael Katsnelson United States
Kamila Bujko Poland
Magnus Hansson Sweden
Matthias Pierer Germany
Giusi Prencipe Italy
Avani Desai United States
A. S. D. Spiers United Kingdom
Sara Tassi relative to Sonia Carta Italy Sonia Carta's profile →
Citations per field
00.5×1.5×
Sonia Carta · 1×
Citations per year

Countries citing papers authored by Sara Tassi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Tassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008385
2 2008279
3 2007205
4 2010141
5 2006133
6 2010104
7 200992
8 200982
9 201180
10 201240
11 200630
12 20220

About Sara Tassi

Sara Tassi is a scholar working on Molecular Biology, Immunology, Hematology, Clinical Biochemistry and Physiology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), IL-33, ST2, and ILC Pathways (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Immune Response and Inflammation (2 papers), Adenosine and Purinergic Signaling (2 papers), Advanced Glycation End Products research (2 papers), Immune Cell Function and Interaction (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Hematology (423 citations), Immunology (736 citations), Physiology (156 citations), Speech and Hearing (113 citations) and Molecular Biology (1.1k citations). Sara Tassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Anna Rubartelli, Sonia Carta, Laura Delfino, Denise Lasigliè, Gianluca Fossati, Alessandra Piccini, Alberto Martini, Marco Gattorno, Francesca Ferlito and Antonella Buoncompagni. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Journal of Leukocyte Biology, Annals of the Rheumatic Diseases and Journal of Biological Chemistry.

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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