Fernando Martı́n-Belmonte

4.9k citations
52 papers · 3.8k indexed · 1 hit paper · h-index 27
Topics
Cellular transport and secretion (16 papers)Erythrocyte Function and Pathophysiology (13 papers)Hippo pathway signaling and YAP/TAZ (11 papers)

In The Last Decade

Fernando Martı́n-Belmonte

51 papers receiving 3.8k citations

Hit Papers

PTEN-Mediated Apical Segregation of Phosphoinositides Con...20072026201320192007100200300400500

Peers

Fernando Martı́n-Belmonte
Comparison fields: 5 of 120
  • Molecular Biology 2.4k
  • Cell Biology 2.1k
  • Oncology 443
  • Physiology 345
  • Genetics 326
Replace Charles Yeaman with:
Charles Yeaman United States
André Le Bivic France
Anirban Datta United States
Rafael García‐Mata United States
Terry Lechler United States
Yoshihiko Yamakita United States
Étienne Formstecher France
Vania Braga United Kingdom
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Fernando Martı́n-Belmonte relative to Charles Yeaman United States Charles Yeaman's profile →
Citations per field
00.5×1.5×
Charles Yeaman · 1×
Citations per year

Countries citing papers authored by Fernando Martı́n-Belmonte

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Martı́n-Belmonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Martı́n-Belmonte. 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 Fernando Martı́n-Belmonte. The network helps show where Fernando Martı́n-Belmonte may publish in the future.

Co-authorship network of co-authors of Fernando Martı́n-Belmonte

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Martı́n-Belmonte. A scholar is included among the top collaborators of Fernando Martı́n-Belmonte 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 Fernando Martı́n-Belmonte. Fernando Martı́n-Belmonte 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 10
2 2
3 3
4 4
5 8
6 14
7 24
8 26
9 56
10 16
11 53
12 103
13 73
14 476
15 17
16 2
17 2
18 178
19 57
20 95

About Fernando Martı́n-Belmonte

Fernando Martı́n-Belmonte is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 52 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Erythrocyte Function and Pathophysiology (13 papers) and Hippo pathway signaling and YAP/TAZ (11 papers). The work is most often cited by research in Cell Biology (2.1k citations), Aging (86 citations) and Molecular Biology (2.4k citations). Fernando Martı́n-Belmonte has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Keith E. Mostov, Miguel A. Alonso, Mirna Pérez‐Moreno, Alejo Rodriguez-Fraticelli, Anirban Datta, Wei Yu, David M. Bryant, Johan Peränen, Ursula Rescher and Volker Gerke. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.

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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