Francesc Ventura

10.8k citations
141 papers · 8.9k indexed · 2 hit papers · h-index 47
Topics
TGF-β signaling in diseases (33 papers)Bone Metabolism and Diseases (21 papers)Cancer, Hypoxia, and Metabolism (15 papers)
Partner nations
SpainUnited StatesBrazil

In The Last Decade

Francesc Ventura

140 papers receiving 8.7k citations

Hit Papers

Mechanism of activation of the TGF-β receptor19942026200420151994199550010001.5k

Peers

Francesc Ventura
Comparison fields: 5 of 146
  • Molecular Biology 6.3k
  • Oncology 1.4k
  • Cancer Research 1.3k
  • Rheumatology 695
  • Genetics 655
Replace Lukas Kenner with:
Lukas Kenner Austria
Valérie Geoffroy France
Zea Borok United States
Hiroto Izumi Japan
Markus Hengstschläger Austria
Rainer Heuchel Sweden
Hong Sun United States
Liu Cao China
Michael J. Zuscik United States
Xiaochun Bai China
Francesc Ventura relative to Lukas Kenner Austria Lukas Kenner's profile →
Citations per field
00.5×1.5×
Lukas Kenner · 1×
Citations per year

Countries citing papers authored by Francesc Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Francesc Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesc Ventura

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 49
4 10
5 19
6 3
7 8
8 44
9 33
10 18
11 24
12 90
13 9
14 55
15 20
16 97
17
Human Type II Receptor for Bone Morphogenic Proteins (BMPs): Extension of the Two-Kinase Receptor Model to the BMPsbreakdown →
504
18 97
19
Mechanism of activation of the TGF-β receptorbreakdown →
1959
20 5

About Francesc Ventura

Francesc Ventura is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy, having authored 141 papers that have together received 8.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (33 papers), Bone Metabolism and Diseases (21 papers) and Cancer, Hypoxia, and Metabolism (15 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Cancer Research (1.3k citations) and Immunology and Allergy (373 citations). Francesc Ventura has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include Joan Massagué, José Luís Rosa, Jeffrey L. Wrana, Rotraud Wieser, Liliana Attisano, Ramón Bartrons, Eddie Rodríguez-Carballo, Beatriz Gámez, Jacqueline Doody and Teresa López‐Rovira. Their work appears in journals such as Nature, Journal of Biological Chemistry and Environmental Science & Technology.

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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