Desirée Loreth

1.4k citations
31 papers · 1.1k · h-index 16

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Renal Diseases and Glomerulopathies 7
    • Alzheimer's disease research and treatments 7

Desirée Loreth

29 papers receiving 1.1k citations

Peers

Desirée Loreth
Comparison fields: 5 of 75
  • Neurology 113
  • Developmental Neuroscience 38
  • Physiology 274
  • Neurology 110
  • Cellular and Molecular Neuroscience 125
Replace Nestor X. Barrezueta with:
Nestor X. Barrezueta United States
Rachel Schot Netherlands
Ahdeah Pajoohesh‐Ganji United States
Atsushi Fujita Japan
Carsten Calaminus Germany
Hongqing Guo United States
Colin P. J. Glover United Kingdom
Paola Merino United States
Yves Sagot Switzerland
Xihui Liu United States
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Citations per field
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Nestor X. Barrezueta · 1×
Citations per year

Countries citing papers authored by Desirée Loreth

Since Specialization
Citations

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

Fields of papers citing papers by Desirée Loreth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014182
2 2015176
3 201598
4 201796
5 201271
6 201252
7 202050
8 201847
9 202143
10 201842
11 201840
12 202037
13 202326
14 201623
15 202121
16 202517
17 202316
18 202412
19 202210
20 20248

About Desirée Loreth

Desirée Loreth is a scholar working on Nephrology, Physiology, Cellular and Molecular Neuroscience, Cancer Research and Neurology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Renal Diseases and Glomerulopathies (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Ubiquitin and proteasome pathways (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Multiple Sclerosis Research Studies (2 papers), Cancer Genomics and Diagnostics (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (113 citations), Developmental Neuroscience (38 citations), Physiology (274 citations), Neurology (110 citations) and Cellular and Molecular Neuroscience (125 citations). Desirée Loreth has collaborated with scholars based in Germany, Denmark and Switzerland. Frequent co-authors include Marco Prinz, Oliver Kretz, Melanie Meyer‐Luehmann, Natalie Katzmarski, Friedrich Metzger, Yawei Liu, Masahiko Watanabe, Patrick Ejlerskov, Ákos Kulik and Tobias Goldmann. Their work appears in journals such as Cell, Nature Communications, Cell Reports, Frontiers in Cellular Neuroscience and Journal of the American Society of Nephrology.

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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