Daniela Mariosa
Impact in
Papers in
- Co-authors
- Fang Fang (14 shared papers)Weimin Ye (13 shared papers)Rino Bellocco (7 shared papers)Caroline Ingre (5 shared papers)Freya Kamel (5 shared papers)Ioannis Rouvelas (4 shared papers)Lars Lundell (4 shared papers)Koshi Kumagai (4 shared papers)
- Journals
- European Journal of Neurology (6 papers)International Journal of Epidemiology (3 papers)Neurology (2 papers)American Journal of Epidemiology (2 papers)Annals of Neurology (2 papers)
- Partner nations
- SwedenUnited StatesFrance
In The Last Decade
Daniela Mariosa
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Neurology 454
- Genetics 96
- Neurology 72
- Biological Psychiatry 21
- Surgery 245
Countries citing papers authored by Daniela Mariosa
This map shows the geographic impact of Daniela Mariosa'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 Daniela Mariosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mariosa more than expected).
Fields of papers citing papers by Daniela Mariosa
This network shows the impact of papers produced by Daniela Mariosa. 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 Daniela Mariosa. The network helps show where Daniela Mariosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Mariosa, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 166 | |
| 2 | 2017 | 120 | |
| 3 | 2015 | 96 | |
| 4 | 2016 | 66 | |
| 5 | 2019 | 62 | |
| 6 | 2019 | 48 | |
| 7 | 2016 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2015 | 43 | |
| 10 | 2014 | 40 | |
| 11 | 2014 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2017 | 28 | |
| 14 | 2019 | 26 | |
| 15 | 2016 | 26 | |
| 16 | 2015 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2021 | 22 | |
| 19 | 2015 | 20 | |
| 20 | 2016 | 19 |
About Daniela Mariosa
Daniela Mariosa is a scholar working on Neurology, Surgery, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Esophageal and GI Pathology (3 papers), Esophageal Cancer Research and Treatment (3 papers), BRCA gene mutations in cancer (2 papers), Nutritional Studies and Diet (2 papers), Genetic factors in colorectal cancer (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Neurology (454 citations), Genetics (96 citations), Neurology (72 citations), Biological Psychiatry (21 citations) and Surgery (245 citations). Daniela Mariosa has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Fang Fang, Weimin Ye, Rino Bellocco, Caroline Ingre, Freya Kamel, Ioannis Rouvelas, Lars Lundell, Koshi Kumagai, Magnus Nilsson and Jon A. Tsai. Their work appears in journals such as European Journal of Neurology, International Journal of Epidemiology, Neurology, American Journal of Epidemiology and Annals of Neurology.
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.