Barbara Gisabella

592 total citations
22 papers, 418 citations indexed

About

Barbara Gisabella is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Barbara Gisabella has authored 22 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Barbara Gisabella's work include Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers) and Sleep and Wakefulness Research (6 papers). Barbara Gisabella is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Memory and Neural Mechanisms (7 papers) and Sleep and Wakefulness Research (6 papers). Barbara Gisabella collaborates with scholars based in United States, Ireland and China. Barbara Gisabella's co-authors include Francine M. Beneš, Vadim Y. Bolshakov, Ki A. Goosens, Roger Anwyl, Michael J. Rowan, Sathyajit S. Bandaru, Harry Pantazopoulos, Sabina Berretta, Thomas E. Scammell and Clifford B. Saper and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Barbara Gisabella

21 papers receiving 414 citations

Peers

Barbara Gisabella
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 222
  • Cognitive Neuroscience 174
  • Molecular Biology 100
  • Endocrine and Autonomic Systems 81
  • Physiology 62
Replace Mauro Congiu with:
Mauro Congiu Switzerland
Maren D. Lange Germany
Minghui Wang China
Anna Tchenio France
Tevye Jason Stachniak Switzerland
Pengcheng Huang China
Fabio Longordo Switzerland
András Szőnyi Hungary
Shannon R. Blume United States
Sophie Masneuf Switzerland
Mauro Congiu Switzerland View profile →
Citations per field, relative to Barbara Gisabella
Barbara Gisabella · 1×
Citations per year, relative to Barbara Gisabella
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Countries citing papers authored by Barbara Gisabella

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Gisabella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Gisabella

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Gisabella. A scholar is included among the top collaborators of Barbara Gisabella 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 Barbara Gisabella. Barbara Gisabella 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 1
2 0
3 5
4 23
5 8
6 7
7 5
8 7
9 8
10 10
11 53
12 34
13
Growth hormone biases amygdala network activation after fear learning
1
14 25
15 53
16 49
17 10
18 23
19 2
20 32

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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