Gregor Rungger

2.5k citations
11 papers · 1.7k · 2 hit papers · h-index 10

Impact in

  • Neurology top 2%
    • Cerebrovascular and genetic disorders
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Moyamoya disease diagnosis and treatment

Papers in

Gregor Rungger

11 papers receiving 1.6k citations

Gregor Rungger's Hit Papers

Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study 2014 · 418 citations
4180+9+18Years since publication100200300400500

Peers

Gregor Rungger
Comparison fields: 5 of 99
  • Neurology 724
  • Neurology 181
  • Rheumatology 324
  • Immunology and Allergy 108
  • Renewable Energy, Sustainability and the Environment 171
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Citations per year

Countries citing papers authored by Gregor Rungger

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Rungger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregor Rungger, 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 Gregor Rungger Line = papers co-authored together Gregor Rungger links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The phenotypic spectrum of CADASIL: Clinical findings in 102 cases
Hit paper breakdown →
1998502
2
Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study
Hit paper breakdown →
2014418
3 2005209
4 1998146
5 2000113
6 1994103
7 201572
8 200848
9 199422
10 201617
11 20179

About Gregor Rungger

Gregor Rungger is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Epidemiology, Pulmonary and Respiratory Medicine and Psychiatry and Mental health, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Restless Legs Syndrome Research (2 papers), Cardiovascular Disease and Adiposity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Moyamoya disease diagnosis and treatment (1 paper), Alcohol Consumption and Health Effects (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Neurology (724 citations), Neurology (181 citations), Rheumatology (324 citations), Immunology and Allergy (108 citations) and Renewable Energy, Sustainability and the Environment (171 citations). Gregor Rungger has collaborated with scholars based in Austria, Italy and United Kingdom. Frequent co-authors include Johann Willeit, Stefan Kiechl, Martin Dichgans, Ingo Uttner, Thomas Gasser, M. Mayer, Markus Ebke, Josef Müller‐Höcker, Roland Brüning and Thomas Klockgether. Their work appears in journals such as Pharmacopsychiatry, Movement Disorders, The Lancet Neurology, Neurology and Arteriosclerosis Thrombosis and Vascular Biology.

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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