Isabel Baeza

60 papers receiving 1.1k citations

Peers

Isabel Baeza
Comparison fields: 5 of 123
  • Biological Psychiatry 115
  • Behavioral Neuroscience 166
  • Aging 37
  • Neurology 78
  • Endocrine and Autonomic Systems 59
Replace Fiorenzo Mignini with:
Fiorenzo Mignini Italy
Christina Alves Peixoto Brazil
Kathrin Becker Austria
Mario Muzzioli Italy
Xiaoping Liu China
Kensei Nishida Japan
Keith M. Dawson United Kingdom
Jie Yan China
Tao Ye France
Isabel Baeza relative to Fiorenzo Mignini Italy Fiorenzo Mignini's profile →
Citations per field
00.5×1.5×2.1×
Fiorenzo Mignini · 1×
Citations per year

Countries citing papers authored by Isabel Baeza

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Baeza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987102
2 201083
3 201074
4 200468
5 201063
6 200943
7 200342
8 201139
9 201336
10 200935
11 199634
12 199933
13 201830
14 200927
15 200926
16 200526
17 201025
18 201025
19 199224
20 200721

About Isabel Baeza

Isabel Baeza is a scholar working on Molecular Biology, Immunology, Rheumatology, Behavioral Neuroscience and Epidemiology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Stress Responses and Cortisol (7 papers), Immune Response and Inflammation (6 papers), Polyamine Metabolism and Applications (6 papers), Lipid Membrane Structure and Behavior (6 papers), Tryptophan and brain disorders (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Trypanosoma species research and implications (5 papers). The work is most often cited by research in Biological Psychiatry (115 citations), Behavioral Neuroscience (166 citations), Aging (37 citations), Neurology (78 citations) and Endocrine and Autonomic Systems (59 citations). Isabel Baeza has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Mónica De la Fuente, Nuria M. De Castro, Lorena Arranz, Carlos Wong, Lydia Giménez‐Llort, Carmen Ariznavarreta, María‐Paz Viveros, Carlos Argüello, Cecilia Montáñez and Carmen Castillo. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Biogerontology, Proceedings of The Nutrition Society, Origins of Life and Evolution of Biospheres and Biochemistry and Cell Biology.

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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