Marco D’Aurora
Impact in
Papers in
-
- Reproductive Biology and Fertility 9
- Genetics 5
- Mesenchymal stem cell research 5
- Co-authors
- Valentina Gatta (30 shared papers)Oriana Trubiani (9 shared papers)Liborio Stuppia (18 shared papers)Francesca Diomede (8 shared papers)Ilaria Merciaro (7 shared papers)Sara Franchi (9 shared papers)Emanuela Mazzon (4 shared papers)Adriano Piattelli (4 shared papers)
- Journals
- Scientific Reports (4 papers)Gene (2 papers)BMC Genomics (2 papers)Frontiers in Immunology (1 paper)Aging (1 paper)
- Partner nations
- ItalyUnited StatesRomania
In The Last Decade
Marco D’Aurora
31 papers receiving 999 citations
Peers
Comparison fields: 5 of 110
- Genetics 184
- Urology 76
- Reproductive Medicine 93
- Cancer Research 104
- Periodontics 29
Countries citing papers authored by Marco D’Aurora
This map shows the geographic impact of Marco D’Aurora'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 Marco D’Aurora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco D’Aurora more than expected).
Fields of papers citing papers by Marco D’Aurora
This network shows the impact of papers produced by Marco D’Aurora. 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 Marco D’Aurora. The network helps show where Marco D’Aurora may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco D’Aurora, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2018 | 85 | |
| 3 | 2018 | 72 | |
| 4 | 2017 | 71 | |
| 5 | 2020 | 63 | |
| 6 | 2017 | 56 | |
| 7 | 2016 | 55 | |
| 8 | 2015 | 54 | |
| 9 | 2016 | 48 | |
| 10 | 2018 | 46 | |
| 11 | 2014 | 44 | |
| 12 | 2014 | 40 | |
| 13 | 2018 | 37 | |
| 14 | 2017 | 31 | |
| 15 | 2013 | 30 | |
| 16 | 2013 | 29 | |
| 17 | 2019 | 27 | |
| 18 | 2016 | 25 | |
| 19 | 2017 | 25 | |
| 20 | 2019 | 13 |
About Marco D’Aurora
Marco D’Aurora is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Neurology, Urology and Cognitive Neuroscience, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Mesenchymal stem cell research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Periodontal Regeneration and Treatments (3 papers), Prenatal Screening and Diagnostics (2 papers), Mitochondrial Function and Pathology (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Genetics (184 citations), Urology (76 citations), Reproductive Medicine (93 citations), Cancer Research (104 citations) and Periodontics (29 citations). Marco D’Aurora has collaborated with scholars based in Italy, United States and Romania. Frequent co-authors include Valentina Gatta, Oriana Trubiani, Liborio Stuppia, Francesca Diomede, Ilaria Merciaro, Sara Franchi, Emanuela Mazzon, Adriano Piattelli, Antonella Fontana and Marco Marchisio. Their work appears in journals such as Scientific Reports, Gene, BMC Genomics, Frontiers in Immunology and Aging.
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.