L. Riera

55 papers receiving 1.6k citations

Peers

L. Riera
Comparison fields: 5 of 87
  • Transplantation 287
  • Cancer Research 258
  • Internal Medicine 51
  • Hepatology 67
  • Cell Biology 145
Replace Malcolm MacConmara with:
Malcolm MacConmara United States
Lorna Marson United Kingdom
Fengchun Liu United States
Daniel P. Gale United Kingdom
Guillaume Canaud France
Yukinari Masuda Japan
Norihiro Sato Japan
Chiara Divella Italy
Dimitrios Α. Tsakiris Switzerland
Jamie L. Todd United States
L. Riera relative to Malcolm MacConmara United States Malcolm MacConmara's profile →
Citations per field
00.5×3.6×
Malcolm MacConmara · 1×
Citations per year

Countries citing papers authored by L. Riera

Since Specialization
Citations

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

Fields of papers citing papers by L. Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside L. Riera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Riera Line = papers co-authored together L. Riera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001298
2 2008157
3 2009131
4 2000116
5 200167
6 201960
7 200859
8 199357
9 200345
10 201245
11 201544
12 201239
13 200236
14 200134
15 199833
16 201933
17 200332
18 200727
19 200323
20 200022

About L. Riera

L. Riera is a scholar working on Surgery, Transplantation, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (16 papers), Organ Donation and Transplantation (11 papers), Organ Transplantation Techniques and Outcomes (11 papers), Renal and Vascular Pathologies (7 papers), Pediatric Urology and Nephrology Studies (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Transplantation (287 citations), Cancer Research (258 citations), Internal Medicine (51 citations), Hepatology (67 citations) and Cell Biology (145 citations). L. Riera has collaborated with scholars based in Spain, United States and Uruguay. Frequent co-authors include Ramón Bartrons, Ànna Manzano, Àurea Navarro‐Sabaté, Alex J. Lange, David A. Okar, Eva Ballesteros, Joan Torrás, Josep M. Grinyó, Daniel Serón and Josep M. Cruzado. Their work appears in journals such as Transplant International, American Journal of Transplantation, British Journal of Urology, Revista Española de Cardiología (English Edition) and Transplantation.

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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