Alba Font‐Tello

9 papers and 196 indexed citations i.

About

Alba Font‐Tello is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Alba Font‐Tello has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Alba Font‐Tello’s work include Prostate Cancer Treatment and Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Alba Font‐Tello is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Alba Font‐Tello collaborates with scholars based in United States, Spain and France. Alba Font‐Tello's co-authors include Silvia de Muga, Núria Juanpere, Josep Lloreta, Marta Lorenzo, Lluís Fumadó, Sérgio Serrano, Sílvia Hernández, Myles Brown, Henry W. Long and José A. Lorente and has published in prestigious journals such as Blood, Cancer Research and Nature Protocols.

In The Last Decade

Co-authorship network of co-authors of Alba Font‐Tello i

Fields of papers citing papers by Alba Font‐Tello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alba Font‐Tello. 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 Alba Font‐Tello. The network helps show where Alba Font‐Tello may publish in the future.

Countries citing papers authored by Alba Font‐Tello

Since Specialization
Citations

This map shows the geographic impact of Alba Font‐Tello'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 Alba Font‐Tello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Font‐Tello more than expected).

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.

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2025