Alicia Arranz

3.4k citations
43 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Immune Response and Inflammation (13 papers)Neuropeptides and Animal Physiology (12 papers)Inflammatory mediators and NSAID effects (7 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaImmunity
Partner nations
SpainGreeceChina

In The Last Decade

Alicia Arranz

41 papers receiving 2.8k citations

Hit Papers

The Kinase Akt1 Controls Macrophage Response to Lipopolys...20092026201420202009100200300400500

Peers

Alicia Arranz
Comparison fields: 5 of 121
  • Immunology 1.1k
  • Molecular Biology 909
  • Cellular and Molecular Neuroscience 646
  • Cancer Research 464
  • Oncology 350
Replace Dhavalkumar D. Patel with:
Dhavalkumar D. Patel United States
Éva Rajnavölgyi Hungary
Jan D. Lünemann Germany
Jana Staňková Canada
Alexei V. Tumanov United States
Cristiano Rumio Italy
Kam F. Fok United States
Franz‐Georg Hanisch Germany
Karina Reiß Germany
Susan Kaufman Canada
Alicia Arranz relative to Dhavalkumar D. Patel United States Dhavalkumar D. Patel's profile →
Citations per field
00.5×1.7×
Dhavalkumar D. Patel · 1×
Citations per year

Countries citing papers authored by Alicia Arranz

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Arranz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alicia Arranz

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia Arranz. A scholar is included among the top collaborators of Alicia Arranz 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 Alicia Arranz. Alicia Arranz 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 5
2 18
3 73
4 49
5 25
6 27
7 20
8 38
9 62
10 41
11 36
12 38
13 33
14 30
15 95
16 70
17 59
18 233
19 160
20 7

About Alicia Arranz

Alicia Arranz is a scholar working on Biophysics, Immunology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (13 papers), Neuropeptides and Animal Physiology (12 papers) and Inflammatory mediators and NSAID effects (7 papers). The work is most often cited by research in Immunology (1.1k citations), Cellular and Molecular Neuroscience (646 citations) and Cancer Research (464 citations). Alicia Arranz has collaborated with scholars based in Spain, Greece and China. Frequent co-authors include Carmen Martínez, Rosa P. Gomariz, Javier Leceta, Catalina Abad, Christos Tsatsanis, Ariadne Androulidaki, Andrew N. Margioris, Yasmina Juarranz, Christina Doxaki and Philip N. Tsichlis. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Immunity.

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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