Alba Vecchini
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Nutrition and Dietetics top 10%
- Fatty Acid Research and Health
Papers in
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- Lipid metabolism and biosynthesis 9
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- Metabolism and Genetic Disorders 7
- Co-authors
- Luciano Binaglia (23 shared papers)Paolo Di Nardo (13 shared papers)Carlo Riccardi (8 shared papers)Rita Roberti (8 shared papers)Giuseppe Nocentini (6 shared papers)Francesco Grignani (4 shared papers)Marilena Minieri (8 shared papers)Leonardo Vecchiet (1 shared paper)
In The Last Decade
Alba Vecchini
35 papers receiving 670 citations
Peers
Comparison fields: 5 of 93
- Biochemistry 104
- Nutrition and Dietetics 149
- Psychiatry and Mental health 87
- Rehabilitation 30
- Physiology 107
Countries citing papers authored by Alba Vecchini
This map shows the geographic impact of Alba Vecchini'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 Alba Vecchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Vecchini more than expected).
Fields of papers citing papers by Alba Vecchini
This network shows the impact of papers produced by Alba Vecchini. 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 Alba Vecchini. The network helps show where Alba Vecchini may publish in the future.
Co-authors
The 25 scholars most cited alongside Alba Vecchini, 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 | 2000 | 148 | |
| 2 | 2011 | 70 | |
| 3 | 2004 | 56 | |
| 4 | 2006 | 41 | |
| 5 | 2013 | 32 | |
| 6 | 2013 | 32 | |
| 7 | 2020 | 29 | |
| 8 | 2000 | 27 | |
| 9 | 2022 | 25 | |
| 10 | 2010 | 25 | |
| 11 | 2014 | 25 | |
| 12 | 1982 | 23 | |
| 13 | 2018 | 20 | |
| 14 | 1987 | 17 | |
| 15 | 2010 | 14 | |
| 16 | 1987 | 13 | |
| 17 | 1995 | 11 | |
| 18 | 2001 | 9 | |
| 19 | 1989 | 9 | |
| 20 | 2014 | 8 |
About Alba Vecchini
Alba Vecchini is a scholar working on Biochemistry, Clinical Biochemistry, Molecular Biology, Physiology and Nutrition and Dietetics, having authored 35 papers that have together received 701 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Lipid metabolism and biosynthesis (9 papers), Metabolism and Genetic Disorders (7 papers), Adipose Tissue and Metabolism (6 papers), Fatty Acid Research and Health (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Biochemistry (104 citations), Nutrition and Dietetics (149 citations), Psychiatry and Mental health (87 citations), Rehabilitation (30 citations) and Physiology (107 citations). Alba Vecchini has collaborated with scholars based in Italy, Canada and France. Frequent co-authors include Luciano Binaglia, Paolo Di Nardo, Carlo Riccardi, Rita Roberti, Giuseppe Nocentini, Francesco Grignani, Marilena Minieri, Leonardo Vecchiet, Umberto Senin and Patrizia Mecocci. Their work appears in journals such as Molecular and Cellular Biochemistry, Journal of Lipid Research, American Journal Of Pathology, Free Radical Biology and Medicine and PLoS ONE.
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.