Miguel Garay-Malpartida
- Co-authors
- José Ernesto BelizárioJoel FaintuchMari Cleide SogayarJuliano AlvesJoão Ricardo SatoCarlos Eduardo FerreiraAndré FujitaSílvia Regina Dowgan Tesseroli de Siqueira
- Topics
- Diabetes and associated disorders (4 papers)Gene Regulatory Network Analysis (3 papers)Bioinformatics and Genomic Networks (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsBiochemical and Biophysical Research Communications
- Partner nations
- BrazilUnited StatesJapan
In The Last Decade
Miguel Garay-Malpartida
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 574
- Physiology 205
- Surgery 102
- Biomedical Engineering 90
- Epidemiology 89
Countries citing papers authored by Miguel Garay-Malpartida
This map shows the geographic impact of Miguel Garay-Malpartida'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 Miguel Garay-Malpartida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Garay-Malpartida more than expected).
Fields of papers citing papers by Miguel Garay-Malpartida
This network shows the impact of papers produced by Miguel Garay-Malpartida. 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 Miguel Garay-Malpartida. The network helps show where Miguel Garay-Malpartida may publish in the future.
Co-authorship network of co-authors of Miguel Garay-Malpartida
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Garay-Malpartida. A scholar is included among the top collaborators of Miguel Garay-Malpartida 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 Miguel Garay-Malpartida. Miguel Garay-Malpartida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 71 | |
| 6 | 19 | |
| 7 | 18 | |
| 8 | 237 | |
| 9 | 24 | |
| 10 | 21 | |
| 11 | 20 | |
| 12 | 77 | |
| 13 | 53 | |
| 14 | 4 | |
| 15 | 97 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 57 | |
| 19 | 93 | |
| 20 | 50 |
About Miguel Garay-Malpartida
Miguel Garay-Malpartida is a scholar working on Toxicology, Geriatrics and Gerontology and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Molecular Biology (574 citations) and Physiology (205 citations). Miguel Garay-Malpartida has collaborated with scholars based in Brazil, United States and Japan. Frequent co-authors include José Ernesto Belizário, Joel Faintuch, Mari Cleide Sogayar, Juliano Alves, João Ricardo Sato, Carlos Eduardo Ferreira, André Fujita, Sílvia Regina Dowgan Tesseroli de Siqueira, Bruna Gomes Alves and Manoel J. Teixeira. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Biochemical and Biophysical Research Communications.
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.