Aldo Massimi
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Co-authors
- Geoffrey ChildsVivian G. CheungRaju KucherlapatiMichael P. MorleyFrancisco AguilarMarkus BitzerSusanne KneitzEster Piek
- Journals
- Nature Genetics (2 papers)PLoS ONE (2 papers)Cancer Research (1 paper)Nature Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Aldo Massimi
15 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Developmental Neuroscience 223
- Cancer Research 312
- Molecular Biology 1.1k
- Neurology 101
- Pathology and Forensic Medicine 174
Countries citing papers authored by Aldo Massimi
This map shows the geographic impact of Aldo Massimi'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 Aldo Massimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aldo Massimi more than expected).
Fields of papers citing papers by Aldo Massimi
This network shows the impact of papers produced by Aldo Massimi. 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 Aldo Massimi. The network helps show where Aldo Massimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Aldo Massimi, 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 | 2023 | 6 | |
| 2 | 2020 | 24 | |
| 3 | 2011 | 10 | |
| 4 | 2010 | 1 | |
| 5 | 2009 | 179 | |
| 6 | 2007 | 30 | |
| 7 | Big results from small samples: evaluation of amplification protocols for gene expression profiling. | 2007 | 19 |
| 8 | 2006 | 20 | |
| 9 | The ABRF MARG microarray survey 2005: taking the pulse of the microarray field. | 2006 | 2 |
| 10 | 2002 | 379 | |
| 11 | Improved procedures to mine data obtained from spotted cDNA arrays. | 2002 | 6 |
| 12 | Hits and misses from gene expression ratio measurements in cDNA microarray studies. | 2002 | 7 |
| 13 | 2001 | 453 | |
| 14 | 1999 | 489 | |
| 15 | 1999 | 2 |
About Aldo Massimi
Aldo Massimi is a scholar working on Geriatrics and Gerontology, Developmental Neuroscience, Molecular Biology, Pharmaceutical Science and Cancer Research, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Molecular Biology Techniques and Applications (2 papers), TGF-β signaling in diseases (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Developmental Neuroscience (223 citations), Cancer Research (312 citations), Molecular Biology (1.1k citations), Neurology (101 citations) and Pathology and Forensic Medicine (174 citations). Aldo Massimi has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Geoffrey Childs, Vivian G. Cheung, Raju Kucherlapati, Michael P. Morley, Francisco Aguilar, Markus Bitzer, Susanne Kneitz, Ester Piek, Jiří Zavadil and Dan Liang. Their work appears in journals such as Nature Genetics, PLoS ONE, Cancer Research, Nature Medicine and Proceedings of the National Academy of Sciences.
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.