Carles A. Boix

3.6k citations
12 papers · 718 indexed · 2 hit papers · h-index 9
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Single-cell and spatial transcriptomics 4
    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 3
    • Bioinformatics and Genomic Networks 3
    • RNA modifications and cancer 2
    • CRISPR and Genetic Engineering 2
    • Alzheimer's disease research and treatments 2

Carles A. Boix

11 papers receiving 714 citations

Hit Papers

Single-cell multiregion dissection of Alzheimer’s disease83202320262024202550100150

Peers

Carles A. Boix
Comparison fields: 5 of 91
  • Neurology 197
  • Biological Psychiatry 41
  • Aging 17
  • Molecular Biology 448
  • Physiology 144
Replace Kátia de Paiva Lopes with:
Kátia de Paiva Lopes United States
Jemmie Cheng United States
Kat Folz‐Donahue Germany
Jiahao Huang United States
Anthony Federico United States
Verena Lang Germany
Huifang Sun China
Tanisha Singh India
Carles A. Boix relative to Kátia de Paiva Lopes United States Kátia de Paiva Lopes's profile →
Citations per field
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Kátia de Paiva Lopes · 1×
Citations per year

Countries citing papers authored by Carles A. Boix

Since Specialization
Citations

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

Fields of papers citing papers by Carles A. Boix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carles A. Boix. 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 Carles A. Boix. The network helps show where Carles A. Boix may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20250
2 20242
3
Single-cell multiregion dissection of Alzheimer’s diseasebreakdown →
202483
4 202311
5 202368
6
Human microglial state dynamics in Alzheimer’s disease progressionbreakdown →
2023162
7 20231
8 202359
9 202254
10 2021183
11 202024
12 201871

About Carles A. Boix

Carles A. Boix is a scholar working on Aging, Biological Psychiatry and Neurology, having authored 12 papers that have together received 718 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Bioinformatics and Genomic Networks (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Neurology (197 citations), Biological Psychiatry (41 citations) and Aging (17 citations). Carles A. Boix has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Manolis Kellis, Benjamin T. James, Yongjin Park, Wouter Meuleman, Li‐Huei Tsai, David A. Bennett, Kyriaki Galani, Matheus B. Victor, Na Sun and Xushen Xiong. Their work appears in journals such as Nature, Cell and Nature Genetics.

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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2026