Doris Kretzschmar

3.7k total citations
65 papers, 2.7k citations indexed

About

Doris Kretzschmar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Doris Kretzschmar has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 27 papers in Molecular Biology and 21 papers in Physiology. Recurrent topics in Doris Kretzschmar's work include Neurobiology and Insect Physiology Research (18 papers), Alzheimer's disease research and treatments (16 papers) and Cholinesterase and Neurodegenerative Diseases (15 papers). Doris Kretzschmar is often cited by papers focused on Neurobiology and Insect Physiology Research (18 papers), Alzheimer's disease research and treatments (16 papers) and Cholinesterase and Neurodegenerative Diseases (15 papers). Doris Kretzschmar collaborates with scholars based in United States, Germany and United Kingdom. Doris Kretzschmar's co-authors include Martin Heisenberg, Gaiti Hasan, Seymour Benzer, Sugandha Sharma, Jadwiga M. Giebułtowicz, Jill S. Wentzell, Alexandre Bettencourt da Cruz, Eileen S. Chow, Gert O. Pflugfelder and Roland Strauß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Doris Kretzschmar

65 papers receiving 2.7k citations

Peers

Doris Kretzschmar
Kweon Yu South Korea
Paul D. Wes United States
Flaviano Giorgini United Kingdom
Fiona Kerr United Kingdom
Jake Jacobson United Kingdom
Kartik Venkatachalam United States
Alexey G. Ryazanov United States
Kweon Yu South Korea
Doris Kretzschmar
Citations per year, relative to Doris Kretzschmar Doris Kretzschmar (= 1×) peers Kweon Yu

Countries citing papers authored by Doris Kretzschmar

Since Specialization
Citations

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

Fields of papers citing papers by Doris Kretzschmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doris Kretzschmar

This figure shows the co-authorship network connecting the top 25 collaborators of Doris Kretzschmar. A scholar is included among the top collaborators of Doris Kretzschmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Doris Kretzschmar. Doris Kretzschmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gray, Nora E., Jonathan A. Zweig, Natascha Techen, et al.. (2024). Centella asiatica and its caffeoylquinic acid and triterpene constituents increase dendritic arborization of mouse primary hippocampal neurons and improve age-related locomotion deficits in Drosophila. SHILAP Revista de lepidopterología. 5. 1374905–1374905. 2 indexed citations
2.
Yang, Liping, Jaewoo Choi, Luke Marney, et al.. (2023). Chlorogenic Acids, Acting via Calcineurin, Are the Main Compounds in Centella asiatica Extracts That Mediate Resilience to Chronic Stress in Drosophila melanogaster. Nutrients. 15(18). 4016–4016. 5 indexed citations
4.
Wright, Kirsten M., Janis McFerrin, Armando Alcázar Magaña, et al.. (2022). Developing a Rational, Optimized Product of Centella asiatica for Examination in Clinical Trials: Real World Challenges. Frontiers in Nutrition. 8. 799137–799137. 9 indexed citations
5.
Cassar, Marlène, et al.. (2022). FTD-associated mutations in Tau result in a combination of dominant and recessive phenotypes. Neurobiology of Disease. 170. 105770–105770. 5 indexed citations
6.
Klichko, Vladimir I., et al.. (2021). Mitochondrial Redox Signaling Is Critical to the Normal Functioning of the Neuronal System. Frontiers in Cell and Developmental Biology. 9. 613036–613036. 11 indexed citations
7.
Nash, Trevor R., et al.. (2019). Daily blue-light exposure shortens lifespan and causes brain neurodegeneration in Drosophila. SHILAP Revista de lepidopterología. 5(1). 8–8. 61 indexed citations
8.
Carmine-Simmen, Katia, et al.. (2018). Drosophila Full-Length Amyloid Precursor Protein Is Required for Visual Working Memory and Prevents Age-Related Memory Impairment. Current Biology. 28(5). 817–823.e3. 16 indexed citations
9.
Dutta, Sudeshna, et al.. (2015). Glial expression of Swiss-cheese (SWS), theDrosophilaorthologue of Neuropathy Target Esterase, is required for neuronal ensheathment and function. Disease Models & Mechanisms. 9(3). 283–94. 36 indexed citations
10.
Kretzschmar, Doris, et al.. (2014). Increased Actin Polymerization and Stabilization Interferes with Neuronal Function and Survival in the AMPKγ Mutant Loechrig. PLoS ONE. 9(2). e89847–e89847. 7 indexed citations
11.
Monterroso, Víctor H., Jill S. Wentzell, Marie‐Christine Lecomte, et al.. (2012). Proximal Giant Neurofilamentous Axonopathy in Mice Genetically Engineered to Resist Calpain and Caspase Cleavage of α-II Spectrin. Journal of Molecular Neuroscience. 47(3). 631–638. 2 indexed citations
12.
Eissenberg, Joel C., William S. Sly, Abdül Waheed, et al.. (2011). Drosophila GGA Model: An Ultimate Gateway to GGA Analysis. Traffic. 12(12). 1821–1838. 8 indexed citations
13.
Wang, Lulu, Anish V. Patel, Valerie Price, et al.. (2010). Identification of novel 1,4‐benzoxazine compounds that are protective in tissue culture and in vivo models of neurodegeneration. Journal of Neuroscience Research. 88(9). 1970–1984. 35 indexed citations
14.
Kretzschmar, Doris. (2009). Swiss Cheese et allii, some of the First Neurodegenerative Mutants Isolated inDrosophila. Journal of Neurogenetics. 23(1-2). 34–41. 10 indexed citations
15.
Carmine-Simmen, Katia, Thomas M. Proctor, Burkhard Poeck, et al.. (2008). Neurotoxic effects induced by the Drosophila amyloid-β peptide suggest a conserved toxic function. Neurobiology of Disease. 33(2). 274–281. 94 indexed citations
16.
Cruz, Alexandre Bettencourt da, Jill S. Wentzell, & Doris Kretzschmar. (2008). Swiss Cheese, a Protein Involved in Progressive Neurodegeneration, Acts as a Noncanonical Regulatory Subunit for PKA-C3. Journal of Neuroscience. 28(43). 10885–10892. 44 indexed citations
17.
Kretzschmar, Doris, et al.. (2007). Optomotor-blind expression in glial cells is required for correct axonal projection across the Drosophila inner optic chiasm. Developmental Biology. 315(1). 28–41. 13 indexed citations
18.
Kretzschmar, Doris, Alexandre Bettencourt da Cruz, Esther Asan, et al.. (2004). Glial and neuronal expression of polyglutamine proteins induce behavioral changes and aggregate formation in Drosophila. Glia. 49(1). 59–72. 44 indexed citations
19.
Greeve, Isabell, et al.. (2004). Age-Dependent Neurodegeneration and Alzheimer-Amyloid Plaque Formation in TransgenicDrosophila. Journal of Neuroscience. 24(16). 3899–3906. 229 indexed citations
20.
Moser, Markus, Thomas Stempfl, Yong Li, et al.. (2000). Cloning and expression of the murine sws/NTE gene. Mechanisms of Development. 90(2). 279–282. 45 indexed citations

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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