Gabriel de Arriba

1.9k citations
64 papers · 784 indexed · h-index 15
Topics
Dialysis and Renal Disease Management (11 papers)Chronic Kidney Disease and Diabetes (8 papers)Renal Diseases and Glomerulopathies (7 papers)
Partner nations
SpainCzechiaRomania

In The Last Decade

Gabriel de Arriba

53 papers receiving 763 citations

Peers

Gabriel de Arriba
Comparison fields: 5 of 94
  • Nephrology 263
  • Molecular Biology 172
  • Pulmonary and Respiratory Medicine 122
  • Cardiology and Cardiovascular Medicine 108
  • Surgery 96
Replace Su Ah Sung with:
Su Ah Sung South Korea
Yoon‐Kyung Chang South Korea
Yuanhan Chen China
Magdi Yaqoob United Kingdom
Przemysław Rutkowski Poland
C Jacobs France
Harald Bergrem Norway
Oleh M. Akchurin United States
Aleksandar Sikole North Macedonia
Scott E. Liebman United States
Gabriel de Arriba relative to Su Ah Sung South Korea Su Ah Sung's profile →
Citations per field
00.5×1.5×
Su Ah Sung · 1×
Citations per year

Countries citing papers authored by Gabriel de Arriba

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel de Arriba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel de Arriba. 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 Gabriel de Arriba. The network helps show where Gabriel de Arriba may publish in the future.

Co-authorship network of co-authors of Gabriel de Arriba

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel de Arriba. A scholar is included among the top collaborators of Gabriel de Arriba 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 Gabriel de Arriba. Gabriel de Arriba 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 6
3 7
4 0
5 1
6 15
7 11
8 36
9 3
10 79
11 34
12 31
13 5
14 75
15 1
16 48
17 24
18 4
19 72
20 11

About Gabriel de Arriba

Gabriel de Arriba is a scholar working on Nephrology, Family Practice and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 784 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (11 papers), Chronic Kidney Disease and Diabetes (8 papers) and Renal Diseases and Glomerulopathies (7 papers). The work is most often cited by research in Nephrology (263 citations), Transplantation (61 citations) and Physiology (37 citations). Gabriel de Arriba has collaborated with scholars based in Spain, Czechia and Romania. Frequent co-authors include Diego Rodrı́guez-Puyol, Trinidad Parra, Miryam Calvino, Selma Benito‐Martínez, Borja Quiroga, Ignacio Arribas, Guillermo Pérez de Lema, Manuel Rodrı́guez-Puyol, José M. López‐Novoa and David Arroyo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Chemistry and Life Sciences.

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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