Daniela Ehrlich

576 citations
20 papers · 502 · h-index 11

Impact in

Papers in

    • Transcranial Magnetic Stimulation Studies 2
    • Neurological Disease Mechanisms and Treatments 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Alzheimer's disease research and treatments 8

Daniela Ehrlich

19 papers receiving 492 citations

Peers

Daniela Ehrlich
Comparison fields: 5 of 65
  • Neurology 76
  • Biological Psychiatry 13
  • Physiology 142
  • Hematology 47
  • Cellular and Molecular Neuroscience 52
Replace Sara Nikseresht with:
Sara Nikseresht Iran
Sarah J. Texel United States
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Carlos Morgan Chile
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Eduardo Pereira Duarte-Silva Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Ehrlich

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021117
2 201260
3 201248
4 201548
5 201244
6 201231
7 201527
8 201224
9 202123
10 201222
11 201315
12 201210
13 20138
14 20227
15 20135
16 20124
17 20134
18 20214
19 20211
20 20210

About Daniela Ehrlich

Daniela Ehrlich is a scholar working on Neurology, Physiology, Cellular and Molecular Neuroscience, Hematology and Pharmacology, having authored 20 papers that have together received 502 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Platelet Disorders and Treatments (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Dementia and Cognitive Impairment Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (76 citations), Biological Psychiatry (13 citations), Physiology (142 citations), Hematology (47 citations) and Cellular and Molecular Neuroscience (52 citations). Daniela Ehrlich has collaborated with scholars based in Austria, Czechia and Germany. Frequent co-authors include Christian Humpel, Michael Pirchl, Dietmar Fuchs, Kostja Steiner, Katharina Kurz, Josef Marksteiner, Tanja Hochstrasser, Friedrich Leblhuber, Simon Geisler and Lukas Lanser. Their work appears in journals such as Current Alzheimer Research, Platelets, Journal of Neural Transmission, Neurobiology of Learning and Memory and Neuropeptides.

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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