Sara Tassi
Impact in
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research
- Physiology top 2%
- Adenosine and Purinergic Signaling
Papers in
-
- Inflammasome and immune disorders 6
- Histone Deacetylase Inhibitors Research 1
-
- Autoimmune and Inflammatory Disorders Research 3
- Co-authors
- Sonia Carta (11 shared papers)Anna Rubartelli (11 shared papers)Laura Delfino (8 shared papers)Denise Lasigliè (3 shared papers)Gianluca Fossati (2 shared papers)Alessandra Piccini (2 shared papers)Marco Gattorno (5 shared papers)Alberto Martini (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)Journal of Leukocyte Biology (1 paper)Journal of Neurochemistry (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Sara Tassi
11 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Hematology 405
- Physiology 153
- Immunology 651
- Molecular Biology 1.1k
- Nephrology 97
Countries citing papers authored by Sara Tassi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 395 | |
| 2 | 2008 | 301 | |
| 3 | 2007 | 217 | |
| 4 | 2010 | 148 | |
| 5 | 2006 | 135 | |
| 6 | 2010 | 113 | |
| 7 | 2009 | 98 | |
| 8 | 2009 | 88 | |
| 9 | 2011 | 83 | |
| 10 | 2012 | 41 | |
| 11 | 2006 | 33 | |
| 12 | 2022 | 0 |
About Sara Tassi
Sara Tassi is a scholar working on Molecular Biology, Hematology, Clinical Biochemistry, Physiology and Immunology, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (6 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Adenosine and Purinergic Signaling (2 papers), Advanced Glycation End Products research (2 papers), Historical Studies and Socio-cultural Analysis (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Cultural Identity and Heritage (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Hematology (405 citations), Physiology (153 citations), Immunology (651 citations), Molecular Biology (1.1k citations) and Nephrology (97 citations). Sara Tassi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Sonia Carta, Anna Rubartelli, Laura Delfino, Denise Lasigliè, Gianluca Fossati, Alessandra Piccini, Marco Gattorno, Alberto Martini, Francesca Ferlito and Antonella Buoncompagni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, Journal of Leukocyte Biology, Journal of Neurochemistry and The Journal of Immunology.
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.