Jennifer Stanic

695 citations
15 papers · 535 indexed · h-index 12
Topics
Neuroscience and Neuropharmacology Research (14 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)Receptor Mechanisms and Signaling (4 papers)

In The Last Decade

Jennifer Stanic

15 papers receiving 535 citations

Peers

Jennifer Stanic
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 358
  • Neurology 241
  • Molecular Biology 211
  • Neurology 68
  • Physiology 54
Replace Paola Platania with:
Paola Platania Italy
François Tison France
Tomoko Nihira Japan
Jenny E. Westin Sweden
Ping‐Wu Zhang United States
Arin Pamukcu United States
Rhalena A. Thomas Canada
Dilyan I. Dryanovski United States
Rupa R. Lalchandani United States
Juan E. Ferrario Argentina
Jennifer Stanic relative to Paola Platania Italy Paola Platania's profile →
Citations per field
00.5×
Paola Platania · 1×
Citations per year

Countries citing papers authored by Jennifer Stanic

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Stanic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Stanic

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 8
2 9
3 20
4 40
5 80
6 27
7 36
8 33
9 46
10 9
11 18
12 54
13 69
14 56
15 30

About Jennifer Stanic

Jennifer Stanic is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 15 papers that have together received 535 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (358 citations), Neurology (241 citations) and Neurology (68 citations). Jennifer Stanic has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Fabrizio Gardoni, Mónica Di Luca, Elisa Zianni, Manuela Mellone, Barbara Picconi, Paolo Calabresi, Elena Marcello, Claudia Racca, Armando A. Genazzani and Giuseppe Sciamanna. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Comparative Neurology.

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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