Marcella Debidda
Impact in
- Aging top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Telomeres, Telomerase, and Senescence 2
- Calcium signaling and nucleotide metabolism 2
-
- Protein Kinase Regulation and GTPase Signaling 5
- Cell death mechanisms and regulation 2
- Melanoma and MAPK Pathways 2
- Co-authors
- Yi Zheng (5 shared papers)Linda C. Yang (2 shared papers)David A. Williams (2 shared papers)Nikhil C. Munshi (1 shared paper)Jason Y. Y. Wong (1 shared paper)Gordon S. Huggins (1 shared paper)Immaculata De Vivo (1 shared paper)Fukun Guo (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Clinical Cardiology (1 paper)Journal of American College Health (1 paper)European Journal of Biochemistry (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- United StatesItalyHungary
In The Last Decade
Marcella Debidda
14 papers receiving 890 citations
Peers
Comparison fields: 5 of 81
- Aging 22
- Cancer Research 121
- Physiology 31
- Oncology 173
- Cell Biology 65
Countries citing papers authored by Marcella Debidda
This map shows the geographic impact of Marcella Debidda'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 Marcella Debidda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Debidda more than expected).
Fields of papers citing papers by Marcella Debidda
This network shows the impact of papers produced by Marcella Debidda. 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 Marcella Debidda. The network helps show where Marcella Debidda may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcella Debidda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 185 | |
| 2 | 2006 | 141 | |
| 3 | 2005 | 117 | |
| 4 | 2007 | 106 | |
| 5 | 2002 | 68 | |
| 6 | 2011 | 63 | |
| 7 | 2002 | 56 | |
| 8 | 2006 | 52 | |
| 9 | 2021 | 35 | |
| 10 | 2008 | 31 | |
| 11 | 2003 | 21 | |
| 12 | 2004 | 16 | |
| 13 | 2013 | 13 | |
| 14 | 2021 | 9 |
About Marcella Debidda
Marcella Debidda is a scholar working on Physiology, Molecular Biology, Aging, Physiology and Cancer Research, having authored 14 papers that have together received 913 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Telomeres, Telomerase, and Senescence (2 papers), Cell death mechanisms and regulation (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Higher Education Practises and Engagement (1 paper) and Innovations in Medical Education (1 paper). The work is most often cited by research in Aging (22 citations), Cancer Research (121 citations), Physiology (31 citations), Oncology (173 citations) and Cell Biology (65 citations). Marcella Debidda has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Yi Zheng, Linda C. Yang, David A. Williams, Nikhil C. Munshi, Jason Y. Y. Wong, Gordon S. Huggins, Immaculata De Vivo, Fukun Guo, Valeria Poli and Heesuk Zang. Their work appears in journals such as Journal of Biological Chemistry, Clinical Cardiology, Journal of American College Health, European Journal of Biochemistry and Gynecologic Oncology.
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.