Sonia Albertos

999 citations
16 papers · 625 · h-index 8

Impact in

Papers in

Sonia Albertos

15 papers receiving 609 citations

Peers

Sonia Albertos
Comparison fields: 5 of 94
  • Modeling and Simulation 174
  • Hepatology 159
  • Cell Biology 92
  • Epidemiology 113
  • Statistical and Nonlinear Physics 45
Replace Meredith E. Pittman with:
Meredith E. Pittman United States
Daniel Sánchez‐Taltavull Switzerland
Xiangsheng Xu United States
Koichi Osaki Japan
Guoyu Zhang China
Alexander Ullrich Germany
Lucía Guerri United States
Leonid Hanin United States
Siddhartha P. Chakrabarty India
Rolf Bjerknes Norway
Sonia Albertos relative to Meredith E. Pittman United States Meredith E. Pittman's profile →
Citations per field
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Meredith E. Pittman · 1×
Citations per year

Countries citing papers authored by Sonia Albertos

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Albertos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003303
2 200874
3 201073
4 200454
5 202043
6 201134
7 201618
8
Regulation of neutrophilia by granulocyte colony-stimulating factor: a new cancer therapy that reversed a case of terminalhepatocellular carcinoma
20059
9 20057
10 20074
11 20172
12 20241
13 20101
14 20211
15 20111
16 20210

About Sonia Albertos

Sonia Albertos is a scholar working on Hepatology, Molecular Biology, Oncology, Surgery and Cell Biology, having authored 16 papers that have together received 625 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Mathematical Biology Tumor Growth (2 papers), Gastrointestinal disorders and treatments (2 papers), Diverticular Disease and Complications (2 papers), Immune cells in cancer (1 paper), Neutropenia and Cancer Infections (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Modeling and Simulation (174 citations), Hepatology (159 citations), Cell Biology (92 citations), Epidemiology (113 citations) and Statistical and Nonlinear Physics (45 citations). Sonia Albertos has collaborated with scholars based in Spain and Italy. Frequent co-authors include Isabel Brú, Antonio Brú, José Luis Subiza, Vincent Soriano, Ivana Maida, Pablo Barreiro, José Antonio López García‐Asenjo, Eugenia Vispo, Alberto Moreno and Javier García‐Samaniego. Their work appears in journals such as Journal of Hepatology, Biophysical Journal, Cellular Immunology, Frontiers in Public Health and PLoS ONE.

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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