Carolina Lavoz

1.1k total citations
26 papers, 738 citations indexed

About

Carolina Lavoz is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Carolina Lavoz has authored 26 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Nephrology. Recurrent topics in Carolina Lavoz's work include Renal and related cancers (8 papers), Connective Tissue Growth Factor Research (6 papers) and Chronic Kidney Disease and Diabetes (6 papers). Carolina Lavoz is often cited by papers focused on Renal and related cancers (8 papers), Connective Tissue Growth Factor Research (6 papers) and Chronic Kidney Disease and Diabetes (6 papers). Carolina Lavoz collaborates with scholars based in Spain, Chile and Hungary. Carolina Lavoz's co-authors include Marta Ruiz‐Ortega, Jesús Egido, Sergio Mezzano, Raúl R. Rodrigues-Díez, Alberto Ortíz, Raquel Rodrigues‐Díez, Sandra Rayego‐Mateos, Macarena Orejudo, Alejandra Droguett and Matilde Alique and has published in prestigious journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Carolina Lavoz

25 papers receiving 735 citations

Peers

Carolina Lavoz
Comparison fields: 5 of 82
  • Molecular Biology 352
  • Immunology 181
  • Nephrology 171
  • Surgery 98
  • Pathology and Forensic Medicine 70
Replace Marjolein Garsen with:
Marjolein Garsen Netherlands
Fabian Bock United States
Samuel Mon-Wei Yu United States
Panagiotis Kavvadas France
Yunfeng Xia China
Izabella Pawluczyk United Kingdom
Amal El‐Shehaby Egypt
Hideki Fujimori Japan
Yoichiro Ikeda Japan
Hongliang Rui China
Marjolein Garsen Netherlands View profile →
Citations per field, relative to Carolina Lavoz
Carolina Lavoz · 1×
Citations per year, relative to Carolina Lavoz
Carolina Lavoz · 1×

Countries citing papers authored by Carolina Lavoz

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Lavoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Lavoz

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Lavoz. A scholar is included among the top collaborators of Carolina Lavoz 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 Carolina Lavoz. Carolina Lavoz 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
# Work Indexed citations
1 1
2 9
3 7
4 14
5 9
6 9
7 50
8 99
9 27
10 29
11 9
12 11
13 23
14 49
15 38
16 12
17 44
18 38
19 34
20 56

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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