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)Aging (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Marco D’Aurora
32 papers receiving 936 citations
Peers
Comparison fields: 5 of 107
- Genetics 196
- Urology 87
- Reproductive Medicine 111
- Cancer Research 106
- Molecular Medicine 34
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 | 82 | |
| 2 | 2018 | 79 | |
| 3 | 2017 | 69 | |
| 4 | 2018 | 66 | |
| 5 | 2020 | 58 | |
| 6 | 2016 | 53 | |
| 7 | 2017 | 51 | |
| 8 | 2015 | 48 | |
| 9 | 2016 | 46 | |
| 10 | 2018 | 42 | |
| 11 | 2014 | 41 | |
| 12 | 2014 | 39 | |
| 13 | 2018 | 35 | |
| 14 | 2013 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2017 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2013 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2016 | 12 |
About Marco D’Aurora
Marco D’Aurora is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Surgery, having authored 32 papers that have together received 942 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Sperm and Testicular Function (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Periodontal Regeneration and Treatments (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Genetics (196 citations), Urology (87 citations), Reproductive Medicine (111 citations), Cancer Research (106 citations) and Molecular Medicine (34 citations). Marco D’Aurora has collaborated with scholars based in Italy, United States and Canada. 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, Aging and Tissue Engineering Part C Methods.
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.