Bienvenido Sanchez
About
In The Last Decade
Bienvenido Sanchez
4 papers receiving 301 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 198
- Internal Medicine 120
- Oncology 96
- Neurology 88
- Surgery 42
Countries citing papers authored by Bienvenido Sanchez
This map shows the geographic impact of Bienvenido Sanchez'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 Bienvenido Sanchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bienvenido Sanchez more than expected).
Fields of papers citing papers by Bienvenido Sanchez
This network shows the impact of papers produced by Bienvenido Sanchez. 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 Bienvenido Sanchez. The network helps show where Bienvenido Sanchez may publish in the future.
Co-authorship network of co-authors of Bienvenido Sanchez
This figure shows the co-authorship network connecting the top 25 collaborators of Bienvenido Sanchez. A scholar is included among the top collaborators of Bienvenido Sanchez 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 Bienvenido Sanchez. Bienvenido Sanchez 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 | 4 | |
| 3 | 277 | |
| 4 | 32 |
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.