Gabriel Musso

5.0k citations
28 papers · 660 · h-index 15

Impact in

    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research
    • Congenital heart defects research
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering
    • Microbial Metabolic Engineering and Bioproduction
    • Evolution and Genetic Dynamics

Papers in

    • Bioinformatics and Genomic Networks 11
    • Microbial Metabolic Engineering and Bioproduction 5
    • Fungal and yeast genetics research 4
    • Congenital heart defects research 3
    • Genomics and Phylogenetic Studies 2
    • Respiratory Support and Mechanisms 3

Gabriel Musso

27 papers receiving 652 citations

Peers

Gabriel Musso
Comparison fields: 5 of 99
  • Molecular Biology 502
  • Genetics 140
  • Cell Biology 66
  • Aging 7
  • Cancer Research 57
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Citations per field
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Citations per year

Countries citing papers authored by Gabriel Musso

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Musso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200882
2 201579
3 201467
4 201064
5 201444
6 201436
7 200732
8 201431
9 201629
10 200529
11 200827
12 201727
13 200922
14 201321
15 201414
16 201813
17 200712
18 20156
19 20236
20 20226

About Gabriel Musso

Gabriel Musso is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Critical Care and Intensive Care Medicine and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 660 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Fungal and yeast genetics research (4 papers), Respiratory Support and Mechanisms (3 papers), Zebrafish Biomedical Research Applications (3 papers), Congenital heart defects research (3 papers), MicroRNA in disease regulation (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (502 citations), Genetics (140 citations), Cell Biology (66 citations), Aging (7 citations) and Cancer Research (57 citations). Gabriel Musso has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Zhaolei Zhang, Andrew Emili, Calum A. MacRae, Frederick P. Roth, Murat Taşan, Michael Costanzo, Charles Boone, Marc Vidal, Tong Hao and Mohan Babu. Their work appears in journals such as Journal of Proteome Research, Genome biology, Nature Methods, Oncotarget and Nature Communications.

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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