Marco Pucci
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protease and Inhibitor Mechanisms 21
- Co-authors
- Gabriella Fibbi (26 shared papers)Mario Del Rosso (25 shared papers)Silvia D’Alessio (7 shared papers)Angela Del Rosso (5 shared papers)Germana Dini (10 shared papers)Lucia Magnelli (7 shared papers)Giulio Bartoli (8 shared papers)Dania Marabissi (8 shared papers)
- Journals
- Experimental Cell Research (4 papers)British Journal of Haematology (2 papers)Seminars in Thrombosis and Hemostasis (1 paper)Neoplasia (1 paper)IEEE Wireless Communications (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Marco Pucci
35 papers receiving 890 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 398
- Immunology and Allergy 117
- Hematology 184
- Genetics 87
- Pathology and Forensic Medicine 125
Countries citing papers authored by Marco Pucci
This map shows the geographic impact of Marco Pucci'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 Marco Pucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Pucci more than expected).
Fields of papers citing papers by Marco Pucci
This network shows the impact of papers produced by Marco Pucci. 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 Marco Pucci. The network helps show where Marco Pucci may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Pucci, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 115 | |
| 2 | 2002 | 94 | |
| 3 | 2006 | 65 | |
| 4 | 1990 | 59 | |
| 5 | 1994 | 51 | |
| 6 | 2001 | 46 | |
| 7 | 1999 | 44 | |
| 8 | 2008 | 43 | |
| 9 | 2014 | 40 | |
| 10 | 2004 | 33 | |
| 11 | 2009 | 31 | |
| 12 | 1986 | 31 | |
| 13 | 2015 | 26 | |
| 14 | 2001 | 23 | |
| 15 | 1990 | 20 | |
| 16 | 2002 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 1992 | 18 | |
| 19 | 1997 | 16 | |
| 20 | 1987 | 16 |
About Marco Pucci
Marco Pucci is a scholar working on Cancer Research, Molecular Biology, Hematology, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 35 papers that have together received 914 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (21 papers), Advanced MIMO Systems Optimization (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Cell Adhesion Molecules Research (5 papers), Wireless Communication Networks Research (4 papers), Cooperative Communication and Network Coding (4 papers), Peptidase Inhibition and Analysis (3 papers) and Advanced Wireless Communication Techniques (3 papers). The work is most often cited by research in Cancer Research (398 citations), Immunology and Allergy (117 citations), Hematology (184 citations), Genetics (87 citations) and Pathology and Forensic Medicine (125 citations). Marco Pucci has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Gabriella Fibbi, Mario Del Rosso, Silvia D’Alessio, Angela Del Rosso, Germana Dini, Lucia Magnelli, Giulio Bartoli, Dania Marabissi, Romano Fantacci and Simona Serratì. Their work appears in journals such as Experimental Cell Research, British Journal of Haematology, Seminars in Thrombosis and Hemostasis, Neoplasia and IEEE Wireless Communications.
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.