Lorella Vecchio
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Metabolism, Diabetes, and Cancer
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in ⓘ
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- RNA Research and Splicing 4
- Metabolism, Diabetes, and Cancer 3
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Oncology 9
- Cancer Cells and Metastasis 4
- Co-authors
- Armel Hervé Nwabo Kamdje (13 shared papers)Paul F. Seke Etet (17 shared papers)Maulilio J. Kipanyula (4 shared papers)Mohammed Farahna (7 shared papers)Mauro Krampera (7 shared papers)Yousef H. Aldebasi (3 shared papers)Séfirin Djiogue (1 shared paper)Müller Jm (3 shared papers)
- Journals
- Cancer Biology and Medicine (3 papers)Cellular Signalling (3 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2 papers)Histochemistry and Cell Biology (2 papers)Differentiation (1 paper)
- Partner nations
- ItalyCameroonSaudi Arabia
In The Last Decade
Lorella Vecchio
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 194
- Molecular Biology 736
- Oncology 245
- Genetics 83
- Structural Biology 9
Countries citing papers authored by Lorella Vecchio
This map shows the geographic impact of Lorella Vecchio'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 Lorella Vecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorella Vecchio more than expected).
Fields of papers citing papers by Lorella Vecchio
This network shows the impact of papers produced by Lorella Vecchio. 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 Lorella Vecchio. The network helps show where Lorella Vecchio may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorella Vecchio, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 224 | |
| 2 | 2006 | 210 | |
| 3 | 2012 | 98 | |
| 4 | 2017 | 84 | |
| 5 | 2014 | 80 | |
| 6 | 2017 | 70 | |
| 7 | 2004 | 59 | |
| 8 | 2012 | 44 | |
| 9 | 2007 | 32 | |
| 10 | 2008 | 32 | |
| 11 | 2005 | 31 | |
| 12 | 2022 | 26 | |
| 13 | 2012 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2006 | 22 | |
| 16 | 2013 | 20 | |
| 17 | 2016 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2023 | 10 | |
| 20 | 2017 | 9 |
About Lorella Vecchio
Lorella Vecchio is a scholar working on Molecular Biology, Oncology, Genetics, Plant Science and Cancer Research, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), RNA Research and Splicing (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Natural Compound Pharmacology Studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Mesenchymal stem cell research (3 papers), Genomics and Chromatin Dynamics (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (194 citations), Molecular Biology (736 citations), Oncology (245 citations), Genetics (83 citations) and Structural Biology (9 citations). Lorella Vecchio has collaborated with scholars based in Italy, Cameroon and Saudi Arabia. Frequent co-authors include Armel Hervé Nwabo Kamdje, Paul F. Seke Etet, Maulilio J. Kipanyula, Mohammed Farahna, Mauro Krampera, Yousef H. Aldebasi, Séfirin Djiogue, Müller Jm, Marco Biggiogera and Kiven Erique Lukong. Their work appears in journals such as Cancer Biology and Medicine, Cellular Signalling, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Histochemistry and Cell Biology and Differentiation.
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.