Beatriz Ferrer

1.1k citations
30 papers · 821 · h-index 13

Impact in

Papers in

Beatriz Ferrer

27 papers receiving 803 citations

Peers

Beatriz Ferrer
Comparison fields: 5 of 110
  • Health, Toxicology and Mutagenesis 205
  • Aging 23
  • Biological Psychiatry 30
  • Dermatology 92
  • Endocrine and Autonomic Systems 69
Replace Pan Guo with:
Pan Guo China
Jinhwan Lim United States
So Jung Kim South Korea
Eui‐Man Jung South Korea
Yiğit Uyanıkgil Türkiye
Sang Hyun Kim South Korea
Lee‐Fen Hsu Taiwan
Altuğ Yavaşoğlu Türkiye
Walid Rachidi France
Joanna A. Ruszkiewicz United States
Beatriz Ferrer relative to Pan Guo China Pan Guo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beatriz Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017230
2 201882
3 201278
4 201156
5 200952
6 202145
7 201341
8 202236
9 201426
10 200423
11 201820
12 202317
13 200617
14 201412
15 202011
16 202011
17 202110
18 202110
19 20229
20 20178

About Beatriz Ferrer

Beatriz Ferrer is a scholar working on Endocrine and Autonomic Systems, Health, Toxicology and Mutagenesis, Physiology, Nutrition and Dietetics and Immunology, having authored 30 papers that have together received 821 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (7 papers), Adipose Tissue and Metabolism (6 papers), Heavy Metal Exposure and Toxicity (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Tryptophan and brain disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Mercury impact and mitigation studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (205 citations), Aging (23 citations), Biological Psychiatry (30 citations), Dermatology (92 citations) and Endocrine and Autonomic Systems (69 citations). Beatriz Ferrer has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Michael Aschner, Aristides Tsatsakis, Tanara V. Peres, Mercedes Giralt, Juan Hidalgo, Adi Pinkas, Joanna A. Ruszkiewicz, Gemma Comes, Albert Quintana and Anatoly V. Skalny. Their work appears in journals such as Food and Chemical Toxicology, Brain Behavior and Immunity, Molecular Neurobiology, Toxics and Scientific Reports.

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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