Bianca Jupp

2.1k total citations
49 papers, 1.6k citations indexed

About

Bianca Jupp is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Bianca Jupp has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 11 papers in Psychiatry and Mental health. Recurrent topics in Bianca Jupp's work include Neurotransmitter Receptor Influence on Behavior (22 papers), Neuroscience and Neuropharmacology Research (16 papers) and Neuroendocrine regulation and behavior (8 papers). Bianca Jupp is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (22 papers), Neuroscience and Neuropharmacology Research (16 papers) and Neuroendocrine regulation and behavior (8 papers). Bianca Jupp collaborates with scholars based in Australia, United Kingdom and United States. Bianca Jupp's co-authors include Jeffrey W. Dalley, Andrew J. Lawrence, Daniele Caprioli, Terence J. O’Brien, Trevor W. Robbins, Elena Krstew, Stephen J. Sawiak, Barry J. Everitt, John P. Williams and Saurav Shrestha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Bianca Jupp

46 papers receiving 1.6k citations

Peers

Bianca Jupp
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 876
  • Cognitive Neuroscience 609
  • Molecular Biology 332
  • Psychiatry and Mental health 300
  • Experimental and Cognitive Psychology 243
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Citations per field, relative to Bianca Jupp
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Citations per year, relative to Bianca Jupp
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Countries citing papers authored by Bianca Jupp

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Jupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Jupp

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Jupp. A scholar is included among the top collaborators of Bianca Jupp 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 Bianca Jupp. Bianca Jupp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 9
3 0
4 9
5 2
6 22
7 6
8 80
9 51
10 51
11 52
12 48
13 74
14 61
15 86
16 56
17 21
18 30
19 23
20
Chronic low-dose corticosterone supplementation enhances acquired epileptogenesis in the rat amygdala kindling model of TLE
1

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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