Javier Morán

512 citations
11 papers · 437 · h-index 9

Impact in

Papers in

    • S100 Proteins and Annexins 2
    • Metabolism, Diabetes, and Cancer 2
    • Estrogen and related hormone effects 3

Javier Morán

11 papers receiving 430 citations

Peers

Javier Morán
Comparison fields: 5 of 69
  • Neurology 99
  • Cancer Research 69
  • Developmental Neuroscience 19
  • Geriatrics and Gerontology 14
  • Immunology 58
Replace Catherine Gondcaille with:
Catherine Gondcaille France
Renyuan Zhou China
Han Guo China
Bowen Dong China
Elien Wouters Belgium
Sandra Espada Spain
Min Joung Lee South Korea
Javier Morán relative to Catherine Gondcaille France Catherine Gondcaille's profile →
Citations per field
00.5×1.5×2.3×
Catherine Gondcaille · 1×
Citations per year

Countries citing papers authored by Javier Morán

Since Specialization
Citations

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

Fields of papers citing papers by Javier Morán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016112
2 201384
3 201469
4 201736
5 201434
6 201431
7 201328
8 201622
9 201415
10
Update of knowledge, recommendations and full consensus about the role of long chain polyunsaturated fatty acids in pregnancy, lactating period and first year of life
20103
11 20133

About Javier Morán

Javier Morán is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 11 papers that have together received 437 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), S100 Proteins and Annexins (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Menopause: Health Impacts and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Phytoestrogen effects and research (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Neurology (99 citations), Cancer Research (69 citations), Developmental Neuroscience (19 citations), Geriatrics and Gerontology (14 citations) and Immunology (58 citations). Javier Morán has collaborated with scholars based in Spain, Sweden and Australia. Frequent co-authors include Pablo Garrido, C. González, Ana Alonso, Segundo González, Marcela Pekna, Anna Stokowska, Fernando G. Osorio, Alison L. Atkins, José M.P. Freije and Michaela C. Pascoe. Their work appears in journals such as Experimental Gerontology, Fertility and Sterility, Experimental Neurology, Cellular and Molecular Neurobiology and Psicothema.

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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