Ulm G

904 citations
11 papers · 690 · h-index 7

Impact in

Papers in

Ulm G

11 papers receiving 649 citations

Peers

Ulm G
Comparison fields: 5 of 86
  • Neurology 514
  • Neurology 93
  • Complementary and alternative medicine 57
  • Cellular and Molecular Neuroscience 126
  • Physiology 19
Replace W. H. Oertel with:
W. H. Oertel Germany
Jon D. Cooksey United States
Nick van Wijk Netherlands
Frederico Diniz Lima Brazil
Mauren Assis Souza Brazil
Anne Karoline Schreiber Brazil
Bharathi N. Palanisamy United States
Guadalupe C. Vidal‐Cantú Mexico
Adriana Wawer Poland
Luiz Felipe de Souza Brazil
Ulm G relative to W. H. Oertel Germany W. H. Oertel's profile →
Citations per field
00.5×1.5×
W. H. Oertel · 1×
Citations per year

Countries citing papers authored by Ulm G

Since Specialization
Citations

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

Fields of papers citing papers by Ulm G

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ulm G, 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 Ulm G Line = papers co-authored together Ulm G links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1996343
2 1996142
3 199686
4 199767
5 199221
6
[Multifactorial etiology of idiopathic Parkinson disease. A case-control study].
199413
7
[Etiology of Parkinson disease. An epidemiologic perspective with possible implications for prevention].
19936
8
Combination treatment with selective monoamine oxidase inhibitors and dopaminergic agonists in Parkinson's disease: biochemical and clinical observations.
19835
9
The current significance of physiotherapeutic measures in the treatment of Parkinson's disease.
19953
10
[Improved therapeutic response to L-dopa in Parkinson's disease, when combined with bromocriptine (author's transl)].
19812
11
Early combination with deprenyl: a retrospective analysis.
19902

About Ulm G

Ulm G is a scholar working on Neurology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Complementary and alternative medicine, having authored 11 papers that have together received 690 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (8 papers), Nuclear Receptors and Signaling (2 papers), Metabolism and Genetic Disorders (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Smoking Behavior and Cessation (1 paper), Ginkgo biloba and Cashew Applications (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Neurology (514 citations), Neurology (93 citations), Complementary and alternative medicine (57 citations), Cellular and Molecular Neuroscience (126 citations) and Physiology (19 citations). Ulm G has collaborated with scholars based in Germany. Frequent co-authors include P. Vieregge, P Nischan, Wiebke Hellenbrand, Andreas Seidler, W. H. Oertel, Eileen Schneider, Bernt‐Peter Robra, H. Boeing, Thomas Gasser and Wolfgang H. Oertel. Their work appears in journals such as Neurology, International Journal of Epidemiology, SHILAP Revista de lepidopterología and PubMed.

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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