Andreas Gravius

1.0k citations
27 papers · 891 · h-index 19

Impact in

Papers in

Andreas Gravius

25 papers receiving 873 citations

Peers

Andreas Gravius
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 656
  • Biological Psychiatry 72
  • Behavioral Neuroscience 42
  • Cognitive Neuroscience 221
  • Neurology 62
Replace Alejandra María Pacchioni with:
Alejandra María Pacchioni United States
Zheng‐Ming Ding United States
Jouni A. Ihalainen Finland
Parichehr Malherbe Switzerland
Mark W. Irvine United Kingdom
Naheed Rohman Mirza Denmark
Stephen N. Mitchell United Kingdom
Matthew T. Taber United States
Malgorzata Pietraszek Poland
Mark D. Black United States
Andreas Gravius relative to Alejandra María Pacchioni United States Alejandra María Pacchioni's profile →
Citations per field
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Alejandra María Pacchioni · 1×
Citations per year

Countries citing papers authored by Andreas Gravius

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Gravius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Gravius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Gravius Line = papers co-authored together Andreas Gravius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005100
2 200577
3 200957
4 200651
5 200550
6 200949
7 201147
8 201146
9 200942
10 200641
11 201140
12 200837
13 200835
14 201034
15 201133
16 201227
17 201025
18 201524
19 200619
20 201819

About Andreas Gravius

Andreas Gravius is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Molecular Biology and Pharmacology, having authored 27 papers that have together received 891 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (8 papers), Memory and Neural Mechanisms (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroendocrine regulation and behavior (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Alzheimer's disease research and treatments (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (656 citations), Biological Psychiatry (72 citations), Behavioral Neuroscience (42 citations), Cognitive Neuroscience (221 citations) and Neurology (62 citations). Andreas Gravius has collaborated with scholars based in Germany, Poland and Russia. Frequent co-authors include Wojciech Danysz, Malgorzata Pietraszek, Jens Nagel, Nico Wegener, Caroline Chambon, Werner Schmidt, Andrzej Dekundy, Lorenzo Morè, Tanja Weil and Adam Płaźnik. Their work appears in journals such as Behavioural Pharmacology, Neuropharmacology, Journal of Neural Transmission, European Journal of Pharmacology and Behavioural Brain Research.

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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