Elisa Ren

555 citations
14 papers · 354 · h-index 11

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • Congenital heart defects research 2
    • Genetics and Neurodevelopmental Disorders 6

Elisa Ren

13 papers receiving 353 citations

Peers

Elisa Ren
Comparison fields: 5 of 59
  • Developmental Neuroscience 33
  • Cellular and Molecular Neuroscience 110
  • Genetics 159
  • Cognitive Neuroscience 66
  • Physiology 10
Replace Valentina Vaghi with:
Valentina Vaghi Italy
M. De Silva Australia
Alexandra Alves-Sampaio Spain
Karina Griesi‐Oliveira Brazil
Cassandra Denefrio United States
Janine Beyer United States
Juntang Lin China
Nathan D. Okerlund United States
Katrin Linda Netherlands
Cliona O’Driscoll United States
Elisa Ren relative to Valentina Vaghi Italy Valentina Vaghi's profile →
Citations per field
00.5×2.6×
Valentina Vaghi · 1×
Citations per year

Countries citing papers authored by Elisa Ren

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202177
2 201849
3 201842
4 201933
5 202132
6 201225
7 202125
8 201921
9 201913
10 202111
11 202110
12 20159
13 20187
14 20250

About Elisa Ren

Elisa Ren is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 14 papers that have together received 354 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (6 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers), Adenosine and Purinergic Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Cellular and Molecular Neuroscience (110 citations), Genetics (159 citations), Cognitive Neuroscience (66 citations) and Physiology (10 citations). Elisa Ren has collaborated with scholars based in Italy, United Kingdom and Finland. Frequent co-authors include Giulia Curia, Stefania Trazzi, Elisabetta Ciani, Claudia Fuchs, Giorgio Medici, Roberto Rimondini, Rupam Das, Hadi Heidari, Laura Gennaccaro and Vahid Nabaei. Their work appears in journals such as Advanced Science, Neurobiology of Disease, Neuroscience, Neural Plasticity and Toxicological 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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