Gerald Wiest

1.5k citations
87 papers · 1.1k · h-index 20

Impact in

Papers in

Gerald Wiest

76 papers receiving 1.1k citations

Peers

Gerald Wiest
Comparison fields: 5 of 95
  • Neurology 302
  • Endocrine and Autonomic Systems 237
  • Physiology 357
  • Cognitive Neuroscience 237
  • Pathology and Forensic Medicine 190
Replace Meiho Nakayama with:
Meiho Nakayama Japan
Peter S. Sándor Switzerland
Kazutomo Kitajima Japan
Ichiro Shimoyama Japan
Francesca Puledda United Kingdom
Andrea M. Harriott United States
SK Aurora United States
Naoko Tachibana Japan
Ji Hyun Kim South Korea
Gregory J. Basura United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerald Wiest

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003227
2 199855
3 200648
4 200448
5 200141
6 199939
7 200236
8 200134
9 200333
10 200630
11 200229
12 200229
13 200129
14 201127
15 201026
16 199925
17 199722
18 200121
19 200020
20 201219

About Gerald Wiest

Gerald Wiest is a scholar working on Neurology, Pathology and Forensic Medicine, Physiology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 87 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (23 papers), Ophthalmology and Eye Disorders (21 papers), Obstructive Sleep Apnea Research (11 papers), Lung Cancer Treatments and Mutations (5 papers), Cerebral Venous Sinus Thrombosis (4 papers), Neurology and Historical Studies (4 papers), Glaucoma and retinal disorders (4 papers) and Mental Health and Psychiatry (4 papers). The work is most often cited by research in Neurology (302 citations), Endocrine and Autonomic Systems (237 citations), Physiology (357 citations), Cognitive Neuroscience (237 citations) and Pathology and Forensic Medicine (190 citations). Gerald Wiest has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Joachim H. Ficker, E. G. Hahn, Florian Fuchs, Christoph Baumgartner, Simin Pour Schahin, Igor Alexander Harsch, Joseph L. Demer, Benjamin T. Crane, Tobias Lohmann and Peter C. Konturek. Their work appears in journals such as Neurology, Annals of the New York Academy of Sciences, Otology & Neurotology, Respiration and Journal of the Neurological Sciences.

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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