Debora Mancini‐DiNardo
- Molecular Biology top 5%
- Cancer Research top 2%
- Genetics top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Stefan EnrothFaizaan MohammadChandrasekhar KanduriTanmoy MondalJan KomorowskiRadha Raman PandeyTakashi NaganoScott J. Steele
- Topics
- Genetic factors in colorectal cancer (7 papers)Cancer Genomics and Diagnostics (7 papers)Genomic variations and chromosomal abnormalities (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Debora Mancini‐DiNardo
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Molecular Biology 1.5k
- Cancer Research 917
- Genetics 545
- Pediatrics, Perinatology and Child Health 181
- Cardiology and Cardiovascular Medicine 126
Countries citing papers authored by Debora Mancini‐DiNardo
This map shows the geographic impact of Debora Mancini‐DiNardo'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 Debora Mancini‐DiNardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Mancini‐DiNardo more than expected).
Fields of papers citing papers by Debora Mancini‐DiNardo
This network shows the impact of papers produced by Debora Mancini‐DiNardo. 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 Debora Mancini‐DiNardo. The network helps show where Debora Mancini‐DiNardo may publish in the future.
Co-authorship network of co-authors of Debora Mancini‐DiNardo
This figure shows the co-authorship network connecting the top 25 collaborators of Debora Mancini‐DiNardo. A scholar is included among the top collaborators of Debora Mancini‐DiNardo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debora Mancini‐DiNardo. Debora Mancini‐DiNardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 39 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 64 | |
| 14 | 1 | |
| 15 | Kcnq1ot1 Antisense Noncoding RNA Mediates Lineage-Specific Transcriptional Silencing through Chromatin-Level Regulationbreakdown → | 926 |
| 16 | 4 | |
| 17 | 347 | |
| 18 | 54 | |
| 19 | 106 | |
| 20 | 6 |
About Debora Mancini‐DiNardo
Debora Mancini‐DiNardo is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (7 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Cancer Research (917 citations), Molecular Biology (1.5k citations) and Genetics (545 citations). Debora Mancini‐DiNardo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stefan Enroth, Faizaan Mohammad, Chandrasekhar Kanduri, Tanmoy Mondal, Jan Komorowski, Radha Raman Pandey, Takashi Nagano, Scott J. Steele, John M. Levorse and Robert S. Ingram. Their work appears in journals such as Journal of Clinical Oncology, Genes & Development and Molecular Cell.
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.