Luisa Guerrini
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 9
- RNA Research and Splicing 5
- Hedgehog Signaling Pathway Studies 4
- Oncology 22
- Cancer-related Molecular Pathways 21
- Co-authors
- Francesco Blasi (8 shared papers)S. Denis‐Donini (1 shared paper)S S Gong (4 shared papers)Claudio Basilico (4 shared papers)Antonio Costanzo (11 shared papers)Girolama La Mantia (8 shared papers)Giorgio R. Merlo (9 shared papers)Roberto Mantovani (2 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Cell Cycle (6 papers)Oncogene (3 papers)FEBS Letters (3 papers)Development (2 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Luisa Guerrini
47 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 488
- Oncology 793
- Developmental Biology 61
- Molecular Biology 1.4k
- Immunology 378
Countries citing papers authored by Luisa Guerrini
This map shows the geographic impact of Luisa Guerrini'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 Luisa Guerrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Guerrini more than expected).
Fields of papers citing papers by Luisa Guerrini
This network shows the impact of papers produced by Luisa Guerrini. 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 Luisa Guerrini. The network helps show where Luisa Guerrini may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Guerrini, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 256 | |
| 2 | 2002 | 195 | |
| 3 | 2011 | 130 | |
| 4 | 2010 | 115 | |
| 5 | 2019 | 99 | |
| 6 | 1993 | 93 | |
| 7 | 2008 | 86 | |
| 8 | 1991 | 85 | |
| 9 | 2010 | 84 | |
| 10 | 2004 | 79 | |
| 11 | 1995 | 75 | |
| 12 | 2008 | 67 | |
| 13 | 2017 | 64 | |
| 14 | 2006 | 64 | |
| 15 | 2012 | 55 | |
| 16 | 1997 | 47 | |
| 17 | 2006 | 45 | |
| 18 | 1995 | 44 | |
| 19 | 2011 | 43 | |
| 20 | 2009 | 41 |
About Luisa Guerrini
Luisa Guerrini is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Biotechnology, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (21 papers), Ubiquitin and proteasome pathways (9 papers), NF-κB Signaling Pathways (9 papers), interferon and immune responses (8 papers), Cancer Research and Treatments (7 papers), RNA Research and Splicing (5 papers), Immune Response and Inflammation (5 papers) and Hedgehog Signaling Pathway Studies (4 papers). The work is most often cited by research in Cancer Research (488 citations), Oncology (793 citations), Developmental Biology (61 citations), Molecular Biology (1.4k citations) and Immunology (378 citations). Luisa Guerrini has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Francesco Blasi, S. Denis‐Donini, S S Gong, Claudio Basilico, Antonio Costanzo, Girolama La Mantia, Giorgio R. Merlo, Roberto Mantovani, Viola Calabrò and Hans van Bokhoven. Their work appears in journals such as Molecular and Cellular Biology, Cell Cycle, Oncogene, FEBS Letters and Development.
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.