Marcio Alvarez‐Silva
- Molecular Biology
- Genetics top 5%
- Cell Biology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Andréa Gonçalves TrentinRadovan BorojevićRicardo Castilho GarcezJosselyne SalaünFrançoise Dieterlen‐LièvreMaria Aparecida Custódio DominguesCarla I. TascaR.S. Magini
- Topics
- Proteoglycans and glycosaminoglycans research (7 papers)Cell Adhesion Molecules Research (6 papers)Mesenchymal stem cell research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsDevelopment
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Marcio Alvarez‐Silva
37 papers receiving 961 citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 387
- Genetics 182
- Cell Biology 175
- Endocrinology, Diabetes and Metabolism 126
- Cellular and Molecular Neuroscience 91
Countries citing papers authored by Marcio Alvarez‐Silva
This map shows the geographic impact of Marcio Alvarez‐Silva'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 Marcio Alvarez‐Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcio Alvarez‐Silva more than expected).
Fields of papers citing papers by Marcio Alvarez‐Silva
This network shows the impact of papers produced by Marcio Alvarez‐Silva. 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 Marcio Alvarez‐Silva. The network helps show where Marcio Alvarez‐Silva may publish in the future.
Co-authorship network of co-authors of Marcio Alvarez‐Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Marcio Alvarez‐Silva. A scholar is included among the top collaborators of Marcio Alvarez‐Silva 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 Marcio Alvarez‐Silva. Marcio Alvarez‐Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 9 | |
| 3 | Advances in bone marrow transplantation | 0 |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 24 | |
| 9 | 78 | |
| 10 | 13 | |
| 11 | 94 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 100 | |
| 15 | 40 | |
| 16 | 145 | |
| 17 | 27 | |
| 18 | 52 | |
| 19 | Myelopoietic competence of stroma composed of hepatic granuloma-derived connective tissue cells or skin fibroblasts. | 6 |
| 20 | 32 |
About Marcio Alvarez‐Silva
Marcio Alvarez‐Silva is a scholar working on Immunology and Allergy, Genetics and Developmental Neuroscience, having authored 38 papers that have together received 983 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (7 papers), Cell Adhesion Molecules Research (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Genetics (182 citations), Developmental Neuroscience (60 citations) and Cell Biology (175 citations). Marcio Alvarez‐Silva has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Andréa Gonçalves Trentin, Radovan Borojević, Ricardo Castilho Garcez, Josselyne Salaün, Françoise Dieterlen‐Lièvre, Maria Aparecida Custódio Domingues, Carla I. Tasca, R.S. Magini, Helena Decker and Giordano Wosgrau Calloni. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Development.
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.