Eduardo Lorca

19 papers receiving 133 citations

Peers

Eduardo Lorca
Comparison fields: 5 of 43
  • Transplantation 24
  • Nephrology 19
  • Oncology 47
  • Genetics 13
  • Epidemiology 39
Replace Ana Cristina Carvalho de Matos with:
Ana Cristina Carvalho de Matos Brazil
Francisco Llamas Spain
Kathleen De Greef Belgium
Fernando Henríquez Spain
G Senatorski Poland
A. Tiple France
Anna Buxeda Spain
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Eduardo Lorca relative to Ana Cristina Carvalho de Matos Brazil Ana Cristina Carvalho de Matos's profile →
Citations per field
00.5×3.9×
Ana Cristina Carvalho de Matos · 1×
Citations per year

Countries citing papers authored by Eduardo Lorca

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Lorca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eduardo Lorca, 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 Eduardo Lorca Line = papers co-authored together Eduardo Lorca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199662
2 201920
3
[Prevalence of infection by Trypanosoma cruzi in patients with multiple blood transfusions].
198811
4 202310
5 20207
6 20107
7 20225
8 20175
9 20103
10 19943
11 20213
12
[Pharmacokinetics and clearance of ciprofloxacin and amikacin in continuous hemodialysis].
19953
13 20102
14 20191
15 20221
16 20161
17 20251
18
[Chagas' disease in patients in chronic hemodialysis. Prevalence and risk of transmission by blood transfusion].
19891
19 20211
20 20250

About Eduardo Lorca

Eduardo Lorca is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Transplantation, Nephrology and Oncology, having authored 24 papers that have together received 147 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Blood Pressure and Hypertension Studies (4 papers), Trypanosoma species research and implications (2 papers), Public Health and Social Inequalities (2 papers), Diabetes Treatment and Management (2 papers), Pregnancy and Medication Impact (2 papers), Dialysis and Renal Disease Management (2 papers) and Health and Lifestyle Studies (2 papers). The work is most often cited by research in Transplantation (24 citations), Nephrology (19 citations), Oncology (47 citations), Genetics (13 citations) and Epidemiology (39 citations). Eduardo Lorca has collaborated with scholars based in Chile, Australia and Brazil. Frequent co-authors include Claudio Ponticelli, Bruno Mario Cesana, Annalisa Tarantino, Pier Luca Bencini, G. Montagnino, Marcelo Antonio Pinheiro Braga, A. Aroldi, Fulvio Lonati, Patricia Herrera and Fernando González. Their work appears in journals such as Kidney International Reports, Toxins, Renal Failure, Clinical Transplantation and Kidney Research and Clinical Practice.

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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