Elisabetta Manduchi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
Papers in
-
- Gene expression and cancer classification 17
- Bioinformatics and Genomic Networks 15
- Epigenetics and DNA Methylation 11
- RNA modifications and cancer 5
- Genomics and Chromatin Dynamics 5
- Genetics 23
- Genetic Associations and Epidemiology 13
- Diabetes and associated disorders 6
- Co-authors
- Peter F. Davies (15 shared papers)Christian J. Stoeckert (28 shared papers)Gregory R. Grant (15 shared papers)Mete Civelek (4 shared papers)Congzhu Shi (4 shared papers)Yun Fang (1 shared paper)Craig A. Simmons (1 shared paper)Rebecca Riley (2 shared papers)
- Journals
- Bioinformatics (5 papers)Diabetes (3 papers)Journal of Biomechanics (2 papers)Circulation Research (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Elisabetta Manduchi
69 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 139
- Cancer Research 483
- Molecular Biology 1.7k
- Immunology 382
- Cell Biology 272
- Genetics 442
Countries citing papers authored by Elisabetta Manduchi
This map shows the geographic impact of Elisabetta Manduchi'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 Elisabetta Manduchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Manduchi more than expected).
Fields of papers citing papers by Elisabetta Manduchi
This network shows the impact of papers produced by Elisabetta Manduchi. 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 Elisabetta Manduchi. The network helps show where Elisabetta Manduchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisabetta Manduchi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 365 | |
| 2 | 2004 | 275 | |
| 3 | 2010 | 209 | |
| 4 | 2005 | 207 | |
| 5 | 2009 | 181 | |
| 6 | 2010 | 174 | |
| 7 | 2009 | 138 | |
| 8 | 2003 | 92 | |
| 9 | 2019 | 79 | |
| 10 | 2000 | 72 | |
| 11 | 2017 | 70 | |
| 12 | 2015 | 58 | |
| 13 | 2014 | 54 | |
| 14 | 2016 | 51 | |
| 15 | 2015 | 50 | |
| 16 | 2003 | 49 | |
| 17 | 2011 | 49 | |
| 18 | 2002 | 46 | |
| 19 | 2006 | 45 | |
| 20 | 2012 | 43 |
About Elisabetta Manduchi
Elisabetta Manduchi is a scholar working on Molecular Biology, Genetics, Surgery, Immunology and Cancer Research, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Bioinformatics and Genomic Networks (15 papers), Genetic Associations and Epidemiology (13 papers), Pancreatic function and diabetes (12 papers), Epigenetics and DNA Methylation (11 papers), Diabetes and associated disorders (6 papers), RNA modifications and cancer (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (483 citations), Molecular Biology (1.7k citations), Immunology (382 citations), Cell Biology (272 citations) and Genetics (442 citations). Elisabetta Manduchi has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter F. Davies, Christian J. Stoeckert, Gregory R. Grant, Mete Civelek, Congzhu Shi, Yun Fang, Craig A. Simmons, Rebecca Riley, Mitchell A. Lazar and David J. Steger. Their work appears in journals such as Bioinformatics, Diabetes, Journal of Biomechanics, Circulation Research and Nature 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.