Lorna Nuñez

7.1k citations
12 papers · 5.7k indexed · 3 hit papers · h-index 9

Lorna Nuñez

11 papers receiving 5.6k citations

Hit Papers

Identification of Ubiquitin Ligases Required for Skeletal...2.8k199920262008201750010001.5k2.0k2.5k

Peers

Lorna Nuñez
Comparison fields: 5 of 107
  • Rehabilitation 741
  • Cell Biology 1.3k
  • Molecular Biology 4.5k
  • Cellular and Molecular Neuroscience 1.1k
  • Aging 100
Replace Arnaud Ferry with:
Arnaud Ferry France
Melissa J. Spencer United States
Zarife Sahenk United States
Elisabeth R. Barton United States
So‐ichiro Fukada Japan
Ravi Kambadur New Zealand
Kanneboyina Nagaraju United States
Noah Weisleder United States
Paul Gregorevic Australia
William O. Kline United States
Lorna Nuñez relative to Arnaud Ferry France Arnaud Ferry's profile →
Citations per field
00.5×1.6×
Arnaud Ferry · 1×
Citations per year

Countries citing papers authored by Lorna Nuñez

Since Specialization
Citations

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

Fields of papers citing papers by Lorna Nuñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20250
2 20242
3 201284
4 201138
5 200936
6 20065
7 200256
8
Identification of Ubiquitin Ligases Required for Skeletal Muscle Atrophybreakdown →
20012828
9
Mediation of IGF-1-induced skeletal myotube hypertrophy by PI(3)K/Akt/mTOR and PI(3)K/Akt/GSK3 pathwaysbreakdown →
20011275
10
Differentiation Stage-Specific Inhibition of the Raf-MEK-ERK Pathway by Aktbreakdown →
1999670
11 1995345
12 1993342

About Lorna Nuñez

Lorna Nuñez is a scholar working on Parasitology, Infectious Diseases and Genetics, having authored 12 papers that have together received 5.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Vector-borne infectious diseases (2 papers), Bacterial biofilms and quorum sensing (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Melanoma and MAPK Pathways (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Rehabilitation (741 citations), Cell Biology (1.3k citations) and Molecular Biology (4.5k citations). Lorna Nuñez has collaborated with scholars based in United States and Netherlands. Frequent co-authors include David J. Glass, George D. Yancopoulos, Brian Clarke, Trevor N. Stitt, Sue C. Bodine, Christian Rommel, David M. Valenzuela, Kumar Dharmarajan, William Poueymirou and Erqian Na.

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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