Alan Cabrera

405 citations
4 papers · 196 · h-index 4

Impact in

    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing

Papers in

    • Virus-based gene therapy research 2
    • CRISPR and Genetic Engineering 3
    • RNA modifications and cancer 1
    • RNA Research and Splicing 1
    • Pluripotent Stem Cells Research 1
    • Fungal and yeast genetics research 1
    • Genomics and Chromatin Dynamics 1

Alan Cabrera

4 papers receiving 195 citations

Peers

Alan Cabrera
Comparison fields: 5 of 44
  • Aging 4
  • Molecular Biology 139
  • Genetics 38
  • Pharmacology 21
  • Biotechnology 9
Replace Daniil V. Gladkikh with:
Daniil V. Gladkikh Russia
Craig W. Gambogi United States
Chiara Ricci-Tam United States
Andrea Schmid Germany
Nina K.M. Rajala Finland
Madlen Stephani Austria
Lorenzo Picchianti Austria
Hardik Paresh Gala India
Artem V. Kononenko United States
Juliana S. Capitanio United States
Alan Cabrera relative to Daniil V. Gladkikh Russia Daniil V. Gladkikh's profile →
Citations per field
00.5×1.5×2×2.3×
Daniil V. Gladkikh · 1×
Citations per year

Countries citing papers authored by Alan Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Alan Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Alan Cabrera, 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 Alan Cabrera Line = papers co-authored together Alan Cabrera links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2022107
2 202235
3 202330
4 202224

About Alan Cabrera

Alan Cabrera is a scholar working on Genetics, Molecular Biology, Pharmacology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 4 papers that have together received 196 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (2 papers), Microbial Natural Products and Biosynthesis (1 paper), RNA modifications and cancer (1 paper), RNA Research and Splicing (1 paper), Pluripotent Stem Cells Research (1 paper), Fungal and yeast genetics research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (4 citations), Molecular Biology (139 citations), Genetics (38 citations), Pharmacology (21 citations) and Biotechnology (9 citations). Alan Cabrera has collaborated with scholars based in United States and China. Frequent co-authors include Isaac B. Hilton, Fanglong Zhao, Zhiwen Liu, Chunxiao Sun, Xue Gao, Tong Zhu, Angela E. Lin, Daniel A. Brenner, Michael I. Love and Ivana Yoseli Quiroga. Their work appears in journals such as Cell Reports, Nature Methods, Journal of the American Chemical Society and Cell Systems.

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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