Daniel Álvarez-Gómez
About
In The Last Decade
Daniel Álvarez-Gómez
3 papers receiving 98 citations
Peers
Comparison fields: 5 of 18
- Organic Chemistry 61
- Infectious Diseases 52
- Molecular Biology 51
- Computational Theory and Mathematics 16
- Molecular Medicine 14
Countries citing papers authored by Daniel Álvarez-Gómez
This map shows the geographic impact of Daniel Álvarez-Gómez'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 Daniel Álvarez-Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Álvarez-Gómez more than expected).
Fields of papers citing papers by Daniel Álvarez-Gómez
This network shows the impact of papers produced by Daniel Álvarez-Gómez. 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 Daniel Álvarez-Gómez. The network helps show where Daniel Álvarez-Gómez may publish in the future.
Co-authorship network of co-authors of Daniel Álvarez-Gómez
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Álvarez-Gómez. A scholar is included among the top collaborators of Daniel Álvarez-Gómez 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 Daniel Álvarez-Gómez. Daniel Álvarez-Gómez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 62 | |
| 3 | 11 |
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.