Carolina Noble

412 total citations
12 papers, 335 citations indexed

About

Carolina Noble is a scholar working on Toxicology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Carolina Noble has authored 12 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Toxicology, 6 papers in Pharmacology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Carolina Noble's work include Forensic Toxicology and Drug Analysis (7 papers), Cannabis and Cannabinoid Research (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Carolina Noble is often cited by papers focused on Forensic Toxicology and Drug Analysis (7 papers), Cannabis and Cannabinoid Research (5 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Carolina Noble collaborates with scholars based in Denmark, Belgium and Norway. Carolina Noble's co-authors include Kristían Línnet, Sys Stybe Johansen, Annelies Cannaert, Christophe P. Stove, Niels Bjerre Holm, Petur Weihe Dalsgaard, Marie Mardal, Barry K. Logan, Donna M Papsun and Sherri L. Kacinko and has published in prestigious journals such as SHILAP Revista de lepidopterología, TrAC Trends in Analytical Chemistry and Toxicology Letters.

In The Last Decade

Carolina Noble

12 papers receiving 321 citations

Peers

Carolina Noble
Comparison fields: 5 of 47
  • Toxicology 233
  • Pharmacology 120
  • Cellular and Molecular Neuroscience 110
  • Clinical Psychology 82
  • Molecular Biology 73
Replace Maurice Wilde with:
Maurice Wilde Germany
Lysbeth H. Antonides United Kingdom
Lilian H.J. Richter Germany
Shimpei Watanabe Japan
Christoph Sauer Germany
Cristina Gil Spain
Jan Schäper Germany
Rasmus Telving Denmark
Nunzia La Maida Italy
Alice Ameline France
Maurice Wilde Germany View profile →
Citations per field, relative to Carolina Noble
Carolina Noble · 1×
Citations per year, relative to Carolina Noble
Carolina Noble · 1×

Countries citing papers authored by Carolina Noble

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Noble

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Noble. A scholar is included among the top collaborators of Carolina Noble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carolina Noble. Carolina Noble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 8
2 6
3 34
4 27
5 25
6 75
7 13
8 62
9 7
10 18
11 24
12 36

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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2026