Mara Mancini
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Dermatology top 5%
Papers in
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- RNA modifications and cancer 4
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- Cancer, Hypoxia, and Metabolism 6
- Cancer-related molecular mechanisms research 5
- NF-κB Signaling Pathways 3
- Co-authors
- Gerry Melino (22 shared papers)Eleonora Candi (19 shared papers)Gaëlle Saintigny (5 shared papers)Christian Mahé (4 shared papers)Anna Maria Lena (9 shared papers)Ivano Amelio (4 shared papers)Margherita Annicchiarico‐Petruzzelli (8 shared papers)Pia Rivetti di Val Cervo (2 shared papers)
- Journals
- Cell Cycle (5 papers)Biochemical and Biophysical Research Communications (4 papers)Proceedings of the National Academy of Sciences (4 papers)Biology Direct (2 papers)Life (1 paper)
- Partner nations
- ItalyUnited KingdomChina
In The Last Decade
Mara Mancini
24 papers receiving 795 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 285
- Dermatology 102
- Oncology 201
- Molecular Biology 489
- Biotechnology 45
Countries citing papers authored by Mara Mancini
This map shows the geographic impact of Mara Mancini'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 Mara Mancini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara Mancini more than expected).
Fields of papers citing papers by Mara Mancini
This network shows the impact of papers produced by Mara Mancini. 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 Mara Mancini. The network helps show where Mara Mancini may publish in the future.
Co-authors
The 25 scholars most cited alongside Mara Mancini, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 154 | |
| 2 | 2018 | 112 | |
| 3 | 2019 | 66 | |
| 4 | 2012 | 66 | |
| 5 | 2015 | 65 | |
| 6 | 2012 | 51 | |
| 7 | 2020 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2014 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2017 | 24 | |
| 12 | 2017 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2015 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2023 | 5 |
About Mara Mancini
Mara Mancini is a scholar working on Molecular Biology, Cancer Research, Oncology, Dermatology and Immunology, having authored 25 papers that have together received 802 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related Molecular Pathways (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Dermatology and Skin Diseases (3 papers), NF-κB Signaling Pathways (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (285 citations), Dermatology (102 citations), Oncology (201 citations), Molecular Biology (489 citations) and Biotechnology (45 citations). Mara Mancini has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Gerry Melino, Eleonora Candi, Gaëlle Saintigny, Christian Mahé, Anna Maria Lena, Ivano Amelio, Margherita Annicchiarico‐Petruzzelli, Pia Rivetti di Val Cervo, Huiqing Zhou and Yufang Shi. Their work appears in journals such as Cell Cycle, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Biology Direct and Life.
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.