Manuel Alva Bianchi
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Nutrition and Dietetics
- Physiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Carlos SchettiniEdgardo SandoyaHugo SenraFernando NietoCristina MogdasyMaria Luce CaputoMichelangela BarbieriD Giorgi
- Topics
- Colorectal Cancer Treatments and Studies (3 papers)Blood Pressure and Hypertension Studies (3 papers)Heart Rate Variability and Autonomic Control (2 papers)
In The Last Decade
Manuel Alva Bianchi
10 papers receiving 316 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 268
- Surgery 79
- Nutrition and Dietetics 42
- Physiology 25
- Endocrinology, Diabetes and Metabolism 24
Countries citing papers authored by Manuel Alva Bianchi
This map shows the geographic impact of Manuel Alva Bianchi'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 Manuel Alva Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Alva Bianchi more than expected).
Fields of papers citing papers by Manuel Alva Bianchi
This network shows the impact of papers produced by Manuel Alva Bianchi. 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 Manuel Alva Bianchi. The network helps show where Manuel Alva Bianchi may publish in the future.
Co-authorship network of co-authors of Manuel Alva Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Alva Bianchi. A scholar is included among the top collaborators of Manuel Alva Bianchi 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 Manuel Alva Bianchi. Manuel Alva Bianchi 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | Predicción de eventos coronarios a nueve años mediante el score de Framingham en Uruguay | 2 |
| 10 | Obesidad en adultos: prevalencia y evolución | 3 |
| 11 | ELEMENTOS ASOCIADOS A BUEN CONTROL DE LA PRESIÓN ARTERIAL EN INDIVIDUOS HIPERTENSOS | 6 |
| 12 | Prevalencia del síndrome metabólico en una población adulta | 8 |
| 13 | 283 | |
| 14 | 11 |
About Manuel Alva Bianchi
Manuel Alva Bianchi is a scholar working on Complementary and alternative medicine, Oncology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 332 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (268 citations), Nephrology (20 citations) and Nutrition and Dietetics (42 citations). Manuel Alva Bianchi has collaborated with scholars based in Spain, Italy and Peru. Frequent co-authors include Carlos Schettini, Edgardo Sandoya, Hugo Senra, Fernando Nieto, Cristina Mogdasy, Maria Luce Caputo, Michelangela Barbieri, D Giorgi, Lluís Cecchini and Vitantonio Di Bello. Their work appears in journals such as Journal of Clinical Oncology, Hypertension and Annals of Oncology.
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.