Federico Taverna

3.6k total citations
6 papers, 221 citations indexed

About

Federico Taverna is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Federico Taverna has authored 6 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Federico Taverna's work include Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Federico Taverna is often cited by papers focused on Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Federico Taverna collaborates with scholars based in Belgium, United Arab Emirates and Denmark. Federico Taverna's co-authors include Peter Carmeliet, Jermaine Goveia, Kateřina Rohlenová, Shawez Khan, Lucas Treps, Luc Schoonjans, Tobias K. Karakach, Guy Eelen, Mieke Dewerchin and Stefan Vinckier and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Briefings in Bioinformatics.

In The Last Decade

Federico Taverna

6 papers receiving 221 citations

Peers

Countries citing papers authored by Federico Taverna

Since Specialization

Citations

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

Fields of papers citing papers by Federico Taverna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Taverna. 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 Federico Taverna. The network helps show where Federico Taverna may publish in the future.

Co-authorship network of co-authors of Federico Taverna

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Taverna. A scholar is included among the top collaborators of Federico Taverna 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 Federico Taverna. Federico Taverna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

#	Work	Indexed citations
1	The gluconeogenesis enzyme PCK2 has a non-enzymatic role in proteostasis in endothelial cells 2024 ·Communications Biology ·Pauline de Zeeuw, Lucas Treps, Melissa García‐Caballero, Ulrike Harjes, Joanna Kalucka, (unknown), Katleen Brepoels, Kristel Peeters, Stefan Vinckier, Joris Souffreau, Ann Bouché, Federico Taverna, Jonas Dehairs, Ali Talebi, Bart Ghesquière, Johannes V. Swinnen, Luc Schoonjans, Guy Eelen, Mieke Dewerchin, Peter Carmeliet	2
2	Error modelled gene expression analysis (EMOGEA) provides a superior overview of time course RNA-seq measurements and low count gene expression 2024 ·Briefings in Bioinformatics ·Jasmine Barra, Federico Taverna, (unknown), (unknown), Tobias K. Karakach	3
3	Identification of vascular cues contributing to cancer cell stemness and function 2022 ·Angiogenesis ·Saran Kumar, (unknown), (unknown), Myriam Grunewald, Maxim Mogilevsky, Tamar Licht, Jermaine Goveia, Federico Taverna, Iddo Paldor, Peter Carmeliet, Eli Keshet	14
4	BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization 2020 ·Nucleic Acids Research ·Federico Taverna, Jermaine Goveia, Tobias K. Karakach, Shawez Khan, Kateřina Rohlenová, Lucas Treps, Abhishek Subramanian, Luc Schoonjans, Mieke Dewerchin, Guy Eelen, Peter Carmeliet	44
5	Blockade of Myeloid-Derived Suppressor Cell Expansion with All- Trans Retinoic Acid Increases the Efficacy of Antiangiogenic Therapy 2018 ·Cancer Research ·(unknown), (unknown), Mark Wroblewski, Isabel Ben‐Batalla, Ines Miranda Santos, Federico Taverna, (unknown), (unknown), (unknown), Stefan Vinckier, Johanna M. Brandner, Klaus Pantel, Carsten Bokemeyer, Thomas Vogl, Johannes Roth, Peter Carmeliet, Sonja Loges	97
6	EndoDB: a database of endothelial cell transcriptomics data 2018 ·Nucleic Acids Research ·Shawez Khan, Federico Taverna, Kateřina Rohlenová, Lucas Treps, Vincent Geldhof, Laura de Rooij, Liliana Sokol, Andreas Pircher, Lena‐Christin Conradi, Joanna Kalucka, Luc Schoonjans, Guy Eelen, Mieke Dewerchin, Tobias K. Karakach, Xuri Li, Jermaine Goveia, Peter Carmeliet	61

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.

Explore authors with similar magnitude of impact