Laura Depta

466 citations
19 papers · 268 · h-index 8

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Protein Degradation and Inhibitors
    • Ubiquitin and proteasome pathways
    • Chemical Synthesis and Analysis
    • Click Chemistry and Applications

Papers in

    • Protein Degradation and Inhibitors 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Ubiquitin and proteasome pathways 2
    • Click Chemistry and Applications 2
    • Quinazolinone synthesis and applications 2

Laura Depta

17 papers receiving 265 citations

Peers

Laura Depta
Comparison fields: 5 of 53
  • Molecular Biology 197
  • Organic Chemistry 55
  • Oncology 41
  • Hematology 17
  • Pathology and Forensic Medicine 22
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Citations per field
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Citations per year

Countries citing papers authored by Laura Depta

Since Specialization
Citations

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

Fields of papers citing papers by Laura Depta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201956
2 201956
3 202046
4 202134
5 202411
6 202411
7 202210
8 20227
9 20196
10 20236
11 20246
12 20255
13
The influence of antidepressive drugs on the level of acetylcholine and on the acetylcholinesterase activity in the brain of rats.
19765
14 20234
15 20243
16
The level of total acetylcholine in discrete brain areas and behavior of rats after neuroleptics.
19751
17
Acetylcholine content in the brain and heart of developing rats.
19751
18 20250
19 20250

About Laura Depta

Laura Depta is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Surgery and Pharmacology, having authored 19 papers that have together received 268 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Drug Transport and Resistance Mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Click Chemistry and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Quinazolinone synthesis and applications (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Molecular Biology (197 citations), Organic Chemistry (55 citations), Oncology (41 citations), Hematology (17 citations) and Pathology and Forensic Medicine (22 citations). Laura Depta has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Daniel Rauh, Matthias Müller, Niklas Uhlenbrock, Jörn Weisner, Jens T. Siveke, Kristina Althoff, Luca Laraia, Bernd Engels, Rajesh Gontla and Paul Czodrowski. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Chemical Science, Nature Chemical Biology, PLoS ONE and Journal of Lipid Research.

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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