Sergi Soriano
- Health, Toxicology and Mutagenesis top 0.5%
- Genetics top 5%
- Molecular Biology
- Surgery top 10%
- Physiology top 10%
- Co-authors
- Ãngel NadalIván QuesadaPaloma Alonso‐MagdalenaAna B. RoperoElaine VieiraMarta García‐ArévaloDeborah J. BurksEsther Fuentes
- Topics
- Pancreatic function and diabetes (17 papers)Effects and risks of endocrine disrupting chemicals (12 papers)Reproductive Physiology in Livestock (7 papers)
- Partner nations
- SpainBrazilUnited States
In The Last Decade
Sergi Soriano
42 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 119
- Health, Toxicology and Mutagenesis 1.1k
- Genetics 442
- Molecular Biology 364
- Surgery 335
- Physiology 283
Countries citing papers authored by Sergi Soriano
This map shows the geographic impact of Sergi Soriano'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 Sergi Soriano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergi Soriano more than expected).
Fields of papers citing papers by Sergi Soriano
This network shows the impact of papers produced by Sergi Soriano. 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 Sergi Soriano. The network helps show where Sergi Soriano may publish in the future.
Co-authorship network of co-authors of Sergi Soriano
This figure shows the co-authorship network connecting the top 25 collaborators of Sergi Soriano. A scholar is included among the top collaborators of Sergi Soriano 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 Sergi Soriano. Sergi Soriano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 35 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 33 | |
| 8 | 44 | |
| 9 | 28 | |
| 10 | 32 | |
| 11 | 169 | |
| 12 | 31 | |
| 13 | 7 | |
| 14 | 285 | |
| 15 | 13 | |
| 16 | Effects of treatments with hCG or GnRH on serum progesterone (P4) and conception rates (CR) in lactating dairy cows submitted to timed artificial insemination (AI) or embryo transfer (ET) | 1 |
| 17 | 77 | |
| 18 | 106 | |
| 19 | Características psicométricas del Cuestionario de Impacto Emocional de la Diabetes | 3 |
| 20 | 9 |
About Sergi Soriano
Sergi Soriano is a scholar working on Health, Toxicology and Mutagenesis, Agronomy and Crop Science and Genetics, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Effects and risks of endocrine disrupting chemicals (12 papers) and Reproductive Physiology in Livestock (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Sensory Systems (88 citations) and Pollution (198 citations). Sergi Soriano has collaborated with scholars based in Spain, Brazil and United States. Frequent co-authors include Ãngel Nadal, Iván Quesada, Paloma Alonso‐Magdalena, Ana B. Ropero, Elaine Vieira, Marta García‐Arévalo, Deborah J. Burks, Esther Fuentes, Jan-Ακε Gustafsson and Ana Gomis. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Physiology.
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.