David Alvarez-Carbonell

1.5k citations
11 papers · 1.0k indexed · 2 hit papers · h-index 9
Topics
HIV Research and Treatment (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (8 papers)CRISPR and Genetic Engineering (2 papers)

In The Last Decade

David Alvarez-Carbonell

11 papers receiving 1.0k citations

Hit Papers

RNA-directed gene editing specifically eradicates latent ...201420262018202220142019100200300400

Peers

David Alvarez-Carbonell
Comparison fields: 5 of 112
  • Molecular Biology 544
  • Virology 358
  • Neurology 212
  • Immunology 160
  • Infectious Diseases 135
Replace Srinivas D. Narasipura with:
Srinivas D. Narasipura United States
В. Л. Карпов Russia
Jason Dang United States
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David Alvarez-Carbonell relative to Srinivas D. Narasipura United States Srinivas D. Narasipura's profile →
Citations per field
00.5×1.5×1.9×
Srinivas D. Narasipura · 1×
Citations per year

Countries citing papers authored by David Alvarez-Carbonell

Since Specialization
Citations

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

Fields of papers citing papers by David Alvarez-Carbonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Alvarez-Carbonell. 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 David Alvarez-Carbonell. The network helps show where David Alvarez-Carbonell may publish in the future.

Co-authorship network of co-authors of David Alvarez-Carbonell

This figure shows the co-authorship network connecting the top 25 collaborators of David Alvarez-Carbonell. A scholar is included among the top collaborators of David Alvarez-Carbonell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Alvarez-Carbonell. David Alvarez-Carbonell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 8
2 15
3 7
4 61
5
Magnetically guided non-invasive CRISPR-Cas9/gRNA delivery across blood-brain barrier to eradicate latent HIV-1 infectionbreakdown →
216
6 40
7 26
8 38
9 80
10 133
11
RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infectionbreakdown →
411

About David Alvarez-Carbonell

David Alvarez-Carbonell is a scholar working on Virology, Neurology and Biological Psychiatry, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Virology (358 citations), Business and International Management (83 citations) and Neurology (212 citations). David Alvarez-Carbonell has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jonathan Karn, Yoelvis García‐Mesa, Kamel Khalili, Fan Yang, Wenhui Hu, Rafal Kaminski, Xianming Mo, Fang Li, Yonggang Zhang and Biao Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Molecular Sciences.

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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