Annalisa Facchini
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
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- Polyamine Metabolism and Applications 13
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- Cannabis and Cannabinoid Research 3
- Inflammatory mediators and NSAID effects 3
- Co-authors
- Flavio Flamigni (22 shared papers)Claudio Stefanelli (14 shared papers)Rosa Maria Borzı̀ (13 shared papers)Claudio Marcello Caldarera (7 shared papers)Andrea Facchini (9 shared papers)Ivana Stanić (6 shared papers)Benedetta Tantini (8 shared papers)Francesca Bonavita (3 shared papers)
- Journals
- Journal of Cellular Physiology (6 papers)FEBS Letters (3 papers)Biochemical Journal (3 papers)Amino Acids (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Annalisa Facchini
23 papers receiving 714 citations
Peers
Comparison fields: 5 of 85
- Rheumatology 205
- Biochemistry 82
- Pharmacology 137
- Cancer Research 109
- Molecular Biology 443
Countries citing papers authored by Annalisa Facchini
This map shows the geographic impact of Annalisa Facchini'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 Annalisa Facchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annalisa Facchini more than expected).
Fields of papers citing papers by Annalisa Facchini
This network shows the impact of papers produced by Annalisa Facchini. 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 Annalisa Facchini. The network helps show where Annalisa Facchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Annalisa Facchini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 88 | |
| 2 | 2003 | 76 | |
| 3 | 2007 | 63 | |
| 4 | 2010 | 52 | |
| 5 | 2006 | 42 | |
| 6 | 2013 | 40 | |
| 7 | 1999 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2010 | 36 | |
| 10 | 2005 | 35 | |
| 11 | 1999 | 27 | |
| 12 | 2012 | 27 | |
| 13 | 2001 | 23 | |
| 14 | 2013 | 22 | |
| 15 | 2001 | 20 | |
| 16 | 2013 | 19 | |
| 17 | 2005 | 18 | |
| 18 | 2008 | 12 | |
| 19 | 2002 | 11 | |
| 20 | 2003 | 10 |
About Annalisa Facchini
Annalisa Facchini is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Rheumatology and Cancer Research, having authored 23 papers that have together received 720 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (13 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Cannabis and Cannabinoid Research (3 papers), Inflammatory mediators and NSAID effects (3 papers), NF-κB Signaling Pathways (3 papers), Mast cells and histamine (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Rheumatology (205 citations), Biochemistry (82 citations), Pharmacology (137 citations), Cancer Research (109 citations) and Molecular Biology (443 citations). Annalisa Facchini has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Flavio Flamigni, Claudio Stefanelli, Rosa Maria Borzı̀, Claudio Marcello Caldarera, Andrea Facchini, Ivana Stanić, Benedetta Tantini, Francesca Bonavita, Eleonora Olivotto and Silvia Cetrullo. Their work appears in journals such as Journal of Cellular Physiology, FEBS Letters, Biochemical Journal, Amino Acids and Biochemical Pharmacology.
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.