Fernando G. Osorio

4.1k citations
32 papers · 2.8k indexed · h-index 26
  • Aging top 2%
    • Nuclear Structure and Function 17
    • RNA Research and Splicing 14
    • DNA Repair Mechanisms 8
    • Ubiquitin and proteasome pathways 4
    • Single-cell and spatial transcriptomics 3
    • Mitochondrial Function and Pathology 3
    • NF-κB Signaling Pathways 3
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 3

Fernando G. Osorio

32 papers receiving 2.7k citations

Peers

Fernando G. Osorio
Comparison fields: 5 of 106
  • Aging 144
  • Molecular Biology 2.1k
  • Cancer Research 378
  • Cell Biology 290
  • Hematology 177
Replace Prem K. Premsrirut with:
Prem K. Premsrirut United States
Florian Bassermann Germany
Beth B. McConnell United States
Arnaud Augert France
Kyoko Shirakabe Japan
N. Shaun B. Thomas United Kingdom
Krystyna Mazan-Mamczarz United States
Frédérick A. Mallette Canada
Stephanie Z. Xie United States
Nancy Olashaw United States
Fernando G. Osorio relative to Prem K. Premsrirut United States Prem K. Premsrirut's profile →
Citations per field
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Prem K. Premsrirut · 1×
Citations per year

Countries citing papers authored by Fernando G. Osorio

Since Specialization
Citations

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

Fields of papers citing papers by Fernando G. Osorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando G. Osorio. 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 Fernando G. Osorio. The network helps show where Fernando G. Osorio may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202277
2 2020194
3 2020125
4 2019115
5 2018151
6 20172
7 201639
8 20163
9 201661
10 201630
11 201578
12 201533
13 201357
14 2013110
15 20122
16 2011154
17 201124
18 2010115
19 2008308
20 200834

About Fernando G. Osorio

Fernando G. Osorio is a scholar working on Cancer Research, Molecular Biology and Hematology, having authored 32 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nuclear Structure and Function (17 papers), RNA Research and Splicing (14 papers), DNA Repair Mechanisms (8 papers), Ubiquitin and proteasome pathways (4 papers), Acute Myeloid Leukemia Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Mitochondrial Function and Pathology (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Aging (144 citations), Molecular Biology (2.1k citations) and Cancer Research (378 citations). Fernando G. Osorio has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Carlos López-Otı́n, José M.P. Freije, Félix de Carlos Villafranca, Ignacio Varela, Clara Soria‐Valles, Vicente Andrés, Antonio Fueyo, Juan Cadiñanos, Nicolas Lévy and José Rivera. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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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