Marco D’Aurora
Impact in
Papers in
-
- Reproductive Biology and Fertility 9
- Co-authors
- Valentina Gatta (31 shared papers)Oriana Trubiani (9 shared papers)Liborio Stuppia (19 shared papers)Francesca Diomede (8 shared papers)Ilaria Merciaro (7 shared papers)Sara Franchi (10 shared papers)Emanuela Mazzon (4 shared papers)Adriano Piattelli (4 shared papers)
- Journals
- Scientific Reports (4 papers)Gene (2 papers)BMC Genomics (2 papers)Behavioural Brain Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ItalyUnited StatesRomania
In The Last Decade
Marco D’Aurora
32 papers receiving 979 citations
Peers
Comparison fields: 5 of 108
- Genetics 181
- Urology 76
- Reproductive Medicine 94
- Cancer Research 103
- Periodontics 28
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 86 | |
| 2 | 2018 | 85 | |
| 3 | 2017 | 70 | |
| 4 | 2018 | 69 | |
| 5 | 2020 | 64 | |
| 6 | 2016 | 56 | |
| 7 | 2015 | 52 | |
| 8 | 2017 | 52 | |
| 9 | 2016 | 48 | |
| 10 | 2018 | 44 | |
| 11 | 2014 | 43 | |
| 12 | 2014 | 39 | |
| 13 | 2018 | 37 | |
| 14 | 2017 | 31 | |
| 15 | 2013 | 29 | |
| 16 | 2013 | 28 | |
| 17 | 2019 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2016 | 23 | |
| 20 | 2019 | 12 |
About Marco D’Aurora
Marco D’Aurora is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Surgery and Cognitive Neuroscience, having authored 32 papers that have together received 991 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), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Periodontal Regeneration and Treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Genetics (181 citations), Urology (76 citations), Reproductive Medicine (94 citations), Cancer Research (103 citations) and Periodontics (28 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, Behavioural Brain Research and Frontiers in Immunology.
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.