Daniela Mueller

418 citations
13 papers · 347 · h-index 8

Impact in

Papers in

    • Neuroblastoma Research and Treatments 2
    • Vascular Malformations Diagnosis and Treatment 1
    • Pancreatic and Hepatic Oncology Research 2
    • Lung Cancer Research Studies 2
    • Peptidase Inhibition and Analysis 1

Daniela Mueller

12 papers receiving 336 citations

Peers

Daniela Mueller
Comparison fields: 5 of 66
  • Pharmacology 96
  • Biotechnology 47
  • Organic Chemistry 154
  • Neurology 68
  • Horticulture 4
Replace Ayako Okamoto with:
Ayako Okamoto Japan
Hirotada Takahashi Japan
Hemantkumar Deokar United States
Nathaniel W. Oswald United States
Jörg Schemies Germany
Andrew Germain United States
Peifu Feng China
Yohko Yamazaki Japan
Jennifer Lafontaine United States
Janice Lau United States
Daniela Mueller relative to Ayako Okamoto Japan Ayako Okamoto's profile →
Citations per field
00.5×7.6×
Ayako Okamoto · 1×
Citations per year

Countries citing papers authored by Daniela Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011137
2 200970
3 200656
4 201720
5 202119
6 201617
7 201411
8 201111
9
Activating autoantibodies against the AT1-receptor in vascular disease
20123
10
Spotlight on renin. Mechanisms of hypertension-induced target organ damage
20071
11
Amyloid-{beta} peptides activate {alpha}1-adrenergic cardiovascular receptors
20131
12 20031
13 20130

About Daniela Mueller

Daniela Mueller is a scholar working on Neurology, Oncology, Epidemiology, Molecular Biology and Pharmacology, having authored 13 papers that have together received 347 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (3 papers), Neuroblastoma Research and Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Lung Cancer Research Studies (2 papers), Peptidase Inhibition and Analysis (1 paper), Meningioma and schwannoma management (1 paper), Alzheimer's disease research and treatments (1 paper) and Vascular Malformations Diagnosis and Treatment (1 paper). The work is most often cited by research in Pharmacology (96 citations), Biotechnology (47 citations), Organic Chemistry (154 citations), Neurology (68 citations) and Horticulture (4 citations). Daniela Mueller has collaborated with scholars based in Germany, Australia and Italy. Frequent co-authors include Raffaele Riccio, Giuseppe Bifulco, Maria Giovanna Chini, Oliver Werz, Ines Bruno, David Camp, Vicky M. Avery, Sandra Duffy, Ronald J. Quinn and Rohan A. Davis. Their work appears in journals such as Therapeutic Advances in Neurological Disorders, Journal of Natural Products, BMC Cancer, Journal of Medicinal Chemistry and Pancreatology.

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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