Miriam Sosa
- Food Science top 10%
- Public Health, Environmental and Occupational Health
- Nutrition and Dietetics top 10%
- Plant Science
- Marketing
- Co-authors
- Guillermo HoughDaniel FerranteJuan P. CasasPablo PerelLorena GarittaMaría Cristina GoldnerAurora FloresKadri Koppel
- Topics
- Sensory Analysis and Statistical Methods (10 papers)Obesity, Physical Activity, Diet (5 papers)Organic Food and Agriculture (4 papers)
In The Last Decade
Miriam Sosa
20 papers receiving 285 citations
Peers
Comparison fields: 5 of 72
- Food Science 132
- Public Health, Environmental and Occupational Health 126
- Nutrition and Dietetics 91
- Plant Science 61
- Marketing 29
Countries citing papers authored by Miriam Sosa
This map shows the geographic impact of Miriam Sosa'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 Miriam Sosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Sosa more than expected).
Fields of papers citing papers by Miriam Sosa
This network shows the impact of papers produced by Miriam Sosa. 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 Miriam Sosa. The network helps show where Miriam Sosa may publish in the future.
Co-authorship network of co-authors of Miriam Sosa
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Sosa. A scholar is included among the top collaborators of Miriam Sosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miriam Sosa. Miriam Sosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 59 | |
| 11 | 32 | |
| 12 | 51 | |
| 13 | 15 | |
| 14 | 21 | |
| 15 | 17 | |
| 16 | 11 | |
| 17 | 12 | |
| 18 | Actividad antiviral de la Mora (Rubus fruticosus B.) mediante electroforesis en geles | 1 |
| 19 | Comparación de la actividad anti-inflamatoria de los polifenoles presentes en las frutas; Mora (Rubus fruticosus B.), Fresa (Fragaria vesca L.) y Grapefruit (Citrus paradasi M.) | 1 |
| 20 | 29 |
About Miriam Sosa
Miriam Sosa is a scholar working on Food Science, Biochemistry and Nutrition and Dietetics, having authored 20 papers that have together received 302 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (10 papers), Obesity, Physical Activity, Diet (5 papers) and Organic Food and Agriculture (4 papers). The work is most often cited by research in Food Science (132 citations), Tourism, Leisure and Hospitality Management (9 citations) and Nutrition and Dietetics (91 citations). Miriam Sosa has collaborated with scholars based in Argentina, Venezuela and Spain. Frequent co-authors include Guillermo Hough, Daniel Ferrante, Juan P. Casas, Pablo Perel, Lorena Garitta, María Cristina Goldner, Aurora Flores, Kadri Koppel, Sandria Godwin and Edgar Chambers. Their work appears in journals such as Annals of the New York Academy of Sciences, Food Research International and Journal of Food Science.
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.