Felipe Serrano

28 papers receiving 1.6k citations

Peers

Felipe Serrano
Comparison fields: 5 of 109
  • Biological Psychiatry 47
  • Developmental Neuroscience 77
  • Physiology 385
  • Cellular and Molecular Neuroscience 261
  • Complementary and alternative medicine 106
Replace So-Yoon Won with:
So-Yoon Won South Korea
Tomasz Jaworski Poland
Henryk Jęśko Poland
Jenq‐Lin Yang Taiwan
José‐Luis González de Aguilar France
С. Н. Иллариошкин Russia
Christopher J. Yuskaitis United States
Lei Wen China
Meina Wu China
Felipe Serrano relative to So-Yoon Won South Korea So-Yoon Won's profile →
Citations per field
00.5×2.7×
So-Yoon Won · 1×
Citations per year

Countries citing papers authored by Felipe Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010173
2 2018151
3 2016149
4 2014139
5 2016137
6 201498
7 201490
8 201377
9 201473
10 201663
11 201562
12 201561
13 201157
14 201350
15 201647
16 201733
17 201530
18 201829
19 201725
20 201425

About Felipe Serrano

Felipe Serrano is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Genetics and Pharmacology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Pluripotent Stem Cells Research (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Nuclear Receptors and Signaling (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Developmental Neuroscience (77 citations), Physiology (385 citations), Cellular and Molecular Neuroscience (261 citations) and Complementary and alternative medicine (106 citations). Felipe Serrano has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include Nibaldo C. Inestrosa, Jorge Parodí, Lorena Varela‐Nallar, Sanjay Sinha, Cheril Tapia‐Rojas, Francisco J. Carvajal, Iván E. Alfaro, Pilar Vigil, William G. Bernard and Alessandra Granata. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Development, Arthritis & Rheumatology, Journal of Alzheimer s Disease and NeuroMolecular Medicine.

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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