Vincenzo Pierotti
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Cancer Research top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 3
- Nuclear Structure and Function 3
- DNA Repair Mechanisms 2
-
- Lipid metabolism and disorders 3
- Surgery top 10%
- Lipoproteins and Cardiovascular Health 4
-
- Animal Genetics and Reproduction 3
-
- Nuclear Receptors and Signaling 2
- Co-authors
- Stephen G. YoungMurielle M. VéniantMacRae F. LintonStéfano MarulloMark G. H. ScottL. M. FlynnTimothy J. KnottB D Blackhart
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (5 papers)Journal of Clinical Investigation (4 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Vincenzo Pierotti
15 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Endocrinology, Diabetes and Metabolism 340
- Cancer Research 197
- Molecular Biology 729
- Cardiology and Cardiovascular Medicine 234
- Surgery 437
Countries citing papers authored by Vincenzo Pierotti
This map shows the geographic impact of Vincenzo Pierotti'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 Vincenzo Pierotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Pierotti more than expected).
Fields of papers citing papers by Vincenzo Pierotti
This network shows the impact of papers produced by Vincenzo Pierotti. 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 Vincenzo Pierotti. The network helps show where Vincenzo Pierotti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincenzo Pierotti, 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 | 2006 | 109 | |
| 2 | 2002 | 180 | |
| 3 | 1998 | 122 | |
| 4 | 1998 | 59 | |
| 5 | 1997 | 86 | |
| 6 | 1997 | 35 | |
| 7 | 1997 | 62 | |
| 8 | 1996 | 55 | |
| 9 | 1996 | 111 | |
| 10 | 1995 | 163 | |
| 11 | 1994 | 16 | |
| 12 | 1992 | 35 | |
| 13 | 1991 | 34 | |
| 14 | 1987 | 116 | |
| 15 | 1986 | 196 |
About Vincenzo Pierotti
Vincenzo Pierotti is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Genetics, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Lipid metabolism and disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (3 papers), Nuclear Structure and Function (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), DNA Repair Mechanisms (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (340 citations), Cancer Research (197 citations) and Molecular Biology (729 citations). Vincenzo Pierotti has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Stephen G. Young, Murielle M. Véniant, MacRae F. Linton, Stéfano Marullo, Mark G. H. Scott, L. M. Flynn, Timothy J. Knott, B D Blackhart, David A. Sanan and Dale Newland. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.