Ioannis Vlachos

1.2k citations
10 papers · 897 indexed · 1 hit paper · h-index 8
Topics
Neural dynamics and brain function (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Memory and Neural Mechanisms (3 papers)
Partner nations
GermanySwitzerlandSweden

In The Last Decade

Ioannis Vlachos

10 papers receiving 881 citations

Hit Papers

Encoding of conditioned fear in central amygdala inhibito...20102026201520202010200400600

Peers

Ioannis Vlachos
Comparison fields: 5 of 71
  • Cognitive Neuroscience 610
  • Cellular and Molecular Neuroscience 506
  • Social Psychology 262
  • Behavioral Neuroscience 240
  • Molecular Biology 141
Replace Rajeevan T. Narayanan with:
Rajeevan T. Narayanan Germany
Boglárka Barsy Hungary
Tomasz Werka Poland
Timothy A. Allen United States
Thomas Crowther United Kingdom
Ruud N.J.M.A. Joosten Netherlands
James A. D’amour United States
Reed L. Ressler United States
Fabrice Chaudun France
Vincent Laurent Australia
Ioannis Vlachos relative to Rajeevan T. Narayanan Germany Rajeevan T. Narayanan's profile →
Citations per field
00.5×1.5×1.9×
Rajeevan T. Narayanan · 1×
Citations per year

Countries citing papers authored by Ioannis Vlachos

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Vlachos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Vlachos

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 9
2 18
3 31
4 1
5 17
6 41
7 40
8
Encoding of conditioned fear in central amygdala inhibitory circuitsbreakdown →
712
9 1
10 27

About Ioannis Vlachos

Ioannis Vlachos is a scholar working on Cognitive Neuroscience, Developmental Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 897 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Behavioral Neuroscience (240 citations), Cognitive Neuroscience (610 citations) and Cellular and Molecular Neuroscience (506 citations). Ioannis Vlachos has collaborated with scholars based in Germany, Switzerland and Sweden. Frequent co-authors include Andreas Lüthi, Cyril Herry, Rolf Sprengel, Stéphane Ciocchi, Ingrid Ehrlich, Steffen B. E. Wolff, Michael Stadler, Karl Deisseroth, François Grenier and Christian Müller. Their work appears in journals such as Nature, Trends in Neurosciences and Scientific Reports.

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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