Gerhard Ransmayr

8.8k total citations
140 papers, 3.8k citations indexed

About

Gerhard Ransmayr is a scholar working on Neurology, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Gerhard Ransmayr has authored 140 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Neurology, 40 papers in Psychiatry and Mental health and 39 papers in Physiology. Recurrent topics in Gerhard Ransmayr's work include Parkinson's Disease Mechanisms and Treatments (38 papers), Alzheimer's disease research and treatments (33 papers) and Dementia and Cognitive Impairment Research (28 papers). Gerhard Ransmayr is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (38 papers), Alzheimer's disease research and treatments (33 papers) and Dementia and Cognitive Impairment Research (28 papers). Gerhard Ransmayr collaborates with scholars based in Austria, Germany and France. Gerhard Ransmayr's co-authors include Werner Poewe, Gregor K. Wenning, Thomas Benke, Peter Riederer, Josef Marksteiner, Peter Dal‐Bianco, Andrija Javor, Imrich Blasko, Reinhold Schmidt and F Gerstenbrand and has published in prestigious journals such as The Lancet, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Gerhard Ransmayr

134 papers receiving 3.6k citations

Peers

Gerhard Ransmayr
Comparison fields: 5 of 153
  • Neurology 1.3k
  • Cellular and Molecular Neuroscience 958
  • Physiology 907
  • Molecular Biology 722
  • Psychiatry and Mental health 719
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Citations per field, relative to Gerhard Ransmayr
Gerhard Ransmayr · 1×
Citations per year, relative to Gerhard Ransmayr
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Countries citing papers authored by Gerhard Ransmayr

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Ransmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Ransmayr

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Ransmayr. A scholar is included among the top collaborators of Gerhard Ransmayr 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 Gerhard Ransmayr. Gerhard Ransmayr 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 0
3 6
4 1
5 4
6 38
7 8
8 20
9 2
10 143
11 71
12 2
13 80
14 31
15 89
16
Interactions of neurotoxins with non-NMDA glutamate receptors: an autoradiographic study.
1
17 47
18 61
19 27
20
Premorbid personality of Parkinson patients.
57

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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