Anna Onnis
Impact in
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- Lymphoma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 4
- Protist diversity and phylogeny 4
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- Lymphoma Diagnosis and Treatment 10
- Co-authors
- Cosima T. Baldari (17 shared papers)Lorenzo Leoncini (17 shared papers)Francesca Finetti (13 shared papers)Cristiana Bellan (14 shared papers)Giulia De Falco (14 shared papers)Stefano Lazzi (8 shared papers)Eleonora Leucci (7 shared papers)Chiara Cassioli (8 shared papers)
- Journals
- Journal of Cell Science (4 papers)Journal of Cellular Physiology (4 papers)Blood (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Cell Death and Differentiation (3 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Onnis
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 309
- Cancer Research 230
- Oncology 355
- Immunology 211
- Genetics 85
Countries citing papers authored by Anna Onnis
This map shows the geographic impact of Anna Onnis'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 Anna Onnis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Onnis more than expected).
Fields of papers citing papers by Anna Onnis
This network shows the impact of papers produced by Anna Onnis. 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 Anna Onnis. The network helps show where Anna Onnis may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Onnis, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 140 | |
| 2 | 2011 | 84 | |
| 3 | 2014 | 84 | |
| 4 | 2009 | 65 | |
| 5 | 2014 | 61 | |
| 6 | 2010 | 58 | |
| 7 | 2015 | 51 | |
| 8 | 2019 | 45 | |
| 9 | 2012 | 45 | |
| 10 | 2018 | 41 | |
| 11 | 2009 | 37 | |
| 12 | 2009 | 35 | |
| 13 | 2014 | 30 | |
| 14 | 2016 | 30 | |
| 15 | 2009 | 28 | |
| 16 | 2014 | 27 | |
| 17 | 2007 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2009 | 26 | |
| 20 | 2007 | 25 |
About Anna Onnis
Anna Onnis is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Immunology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Genetic and Kidney Cyst Diseases (7 papers), Viral-associated cancers and disorders (5 papers), Immune Cell Function and Interaction (4 papers), Epigenetics and DNA Methylation (4 papers), Protist diversity and phylogeny (4 papers), T-cell and B-cell Immunology (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (309 citations), Cancer Research (230 citations), Oncology (355 citations), Immunology (211 citations) and Genetics (85 citations). Anna Onnis has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Cosima T. Baldari, Lorenzo Leoncini, Francesca Finetti, Cristiana Bellan, Giulia De Falco, Stefano Lazzi, Eleonora Leucci, Chiara Cassioli, Mario Cocco and Laura Patrussi. Their work appears in journals such as Journal of Cell Science, Journal of Cellular Physiology, Blood, Frontiers in Cell and Developmental Biology and Cell Death 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.