Emilio Tejera
About
In The Last Decade
Emilio Tejera
9 papers receiving 459 citations
Peers
Comparison fields: 5 of 77
- Immunology 200
- Immunology and Allergy 188
- Molecular Biology 170
- Cell Biology 84
- Hematology 64
Countries citing papers authored by Emilio Tejera
This map shows the geographic impact of Emilio Tejera'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 Emilio Tejera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilio Tejera more than expected).
Fields of papers citing papers by Emilio Tejera
This network shows the impact of papers produced by Emilio Tejera. 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 Emilio Tejera. The network helps show where Emilio Tejera may publish in the future.
Co-authorship network of co-authors of Emilio Tejera
This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Tejera. A scholar is included among the top collaborators of Emilio Tejera 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 Emilio Tejera. Emilio Tejera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 48 | |
| 3 | 56 | |
| 4 | 62 | |
| 5 | 32 | |
| 6 | 13 | |
| 7 | 22 | |
| 8 | 177 | |
| 9 | 1 |
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.