Marcus O.W. Grimm

5.0k total citations
81 papers, 3.7k citations indexed

About

Marcus O.W. Grimm is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Marcus O.W. Grimm has authored 81 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Physiology, 33 papers in Molecular Biology and 15 papers in Surgery. Recurrent topics in Marcus O.W. Grimm's work include Alzheimer's disease research and treatments (50 papers), Cholesterol and Lipid Metabolism (14 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Marcus O.W. Grimm is often cited by papers focused on Alzheimer's disease research and treatments (50 papers), Cholesterol and Lipid Metabolism (14 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Marcus O.W. Grimm collaborates with scholars based in Germany, Netherlands and Finland. Marcus O.W. Grimm's co-authors include Tobias Hartmann, Heike S. Grimm, Janine Mett, Sven Grösgen, Viola J. Haupenthal, Tatjana L. Rothhaar, Benjamin Hundsdörfer, Kristina Endres, Eva G. Zinser and Valerie C. Zimmer and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Marcus O.W. Grimm

81 papers receiving 3.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcus O.W. Grimm Germany 39 2.1k 1.8k 544 470 415 81 3.7k
Heike S. Grimm Germany 28 1.6k 0.8× 1.2k 0.7× 360 0.7× 344 0.7× 330 0.8× 49 2.5k
Lorenzo M. Refolo United States 23 2.3k 1.1× 1.2k 0.7× 772 1.4× 202 0.4× 471 1.1× 41 3.4k
Valérie Vingtdeux United States 29 1.7k 0.8× 1.8k 1.1× 211 0.4× 390 0.8× 790 1.9× 47 4.2k
Elena Tamagno Italy 34 1.8k 0.9× 1.3k 0.7× 281 0.5× 189 0.4× 447 1.1× 64 3.7k
Ming Tong United States 39 1.4k 0.7× 1.6k 0.9× 301 0.6× 194 0.4× 395 1.0× 113 4.3k
Ming‐Hui Zou United States 42 1.8k 0.8× 3.1k 1.8× 706 1.3× 219 0.5× 169 0.4× 82 6.2k
Fabio Di Domenico Italy 52 2.9k 1.3× 3.0k 1.7× 252 0.5× 292 0.6× 474 1.1× 117 6.5k
Naoyuki Sato Japan 34 1.5k 0.7× 1.3k 0.7× 323 0.6× 161 0.3× 471 1.1× 143 4.1k
Oliviero Danni Italy 34 1.8k 0.8× 1.5k 0.9× 256 0.5× 227 0.5× 423 1.0× 62 4.3k
Elizabeth A. Eckman United States 24 2.6k 1.2× 1.6k 0.9× 215 0.4× 213 0.5× 577 1.4× 40 3.9k

Countries citing papers authored by Marcus O.W. Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Marcus O.W. Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus O.W. Grimm. 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 Marcus O.W. Grimm. The network helps show where Marcus O.W. Grimm may publish in the future.

Co-authorship network of co-authors of Marcus O.W. Grimm

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus O.W. Grimm. A scholar is included among the top collaborators of Marcus O.W. Grimm 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 Marcus O.W. Grimm. Marcus O.W. Grimm 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.
Janitschke, Daniel, et al.. (2023). Gemfibrozil-Induced Intracellular Triglyceride Increase in SH-SY5Y, HEK and Calu-3 Cells. International Journal of Molecular Sciences. 24(3). 2972–2972. 4 indexed citations
2.
Janitschke, Daniel, Anna Andrea Lauer, Veronika Matschke, et al.. (2023). Aspartame and Its Metabolites Cause Oxidative Stress and Mitochondrial and Lipid Alterations in SH-SY5Y Cells. Nutrients. 15(6). 1467–1467. 18 indexed citations
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Janitschke, Daniel, et al.. (2022). Methylxanthines Induce a Change in the AD/Neurodegeneration-Linked Lipid Profile in Neuroblastoma Cells. International Journal of Molecular Sciences. 23(4). 2295–2295. 7 indexed citations
5.
Lauer, Anna Andrea, Daniel Janitschke, Heike S. Grimm, et al.. (2022). The Influence of Acitretin on Brain Lipidomics in Adolescent Mice—Implications for Pediatric and Adolescent Dermatological Therapy. International Journal of Molecular Sciences. 23(24). 15535–15535. 2 indexed citations
6.
Lauer, Anna Andrea, et al.. (2022). Vitamin B12 Attenuates Changes in Phospholipid Levels Related to Oxidative Stress in SH-SY5Y Cells. Cells. 11(16). 2574–2574. 11 indexed citations
7.
Dressel, Katharina, et al.. (2022). Interdisciplinary Approaches to Deal with Alzheimer’s Disease—From Bench to Bedside: What Feasible Options Do Already Exist Today?. Biomedicines. 10(11). 2922–2922. 3 indexed citations
8.
Lauer, Anna Andrea, Daniel Janitschke, Veronika Matschke, et al.. (2021). Targeted Lipidomics of Mitochondria in a Cellular Alzheimer’s Disease Model. Biomedicines. 9(8). 1062–1062. 15 indexed citations
9.
Mett, Janine, Anna Andrea Lauer, Daniel Janitschke, et al.. (2021). Medium-Chain Length Fatty Acids Enhance Aβ Degradation by Affecting Insulin-Degrading Enzyme. Cells. 10(11). 2941–2941. 12 indexed citations
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Lauer, Anna Andrea, Janine Mett, Daniel Janitschke, et al.. (2020). Regulatory feedback cycle of the insulin‐degrading enzyme and the amyloid precursor protein intracellular domain: Implications for Alzheimer’s disease. Aging Cell. 19(11). e13264–e13264. 8 indexed citations
13.
Janitschke, Daniel, Christopher Nelke, Anna Andrea Lauer, et al.. (2019). Effect of Caffeine and Other Methylxanthines on Aβ-Homeostasis in SH-SY5Y Cells. Biomolecules. 9(11). 689–689. 25 indexed citations
14.
Grimm, Marcus O.W., Anna Andrea Lauer, Sven Grösgen, et al.. (2019). Profiling of Alzheimer’s disease related genes in mild to moderate vitamin D hypovitaminosis. The Journal of Nutritional Biochemistry. 67. 123–137. 18 indexed citations
15.
Grimm, Marcus O.W., Anna Andrea Lauer, Johannes Lehmann, et al.. (2017). Vitamin D and Its Analogues Decrease Amyloid-β (Aβ) Formation and Increase Aβ-Degradation. International Journal of Molecular Sciences. 18(12). 2764–2764. 70 indexed citations
16.
Burg, Verena K., Heike S. Grimm, Tatjana L. Rothhaar, et al.. (2013). Plant Sterols the Better Cholesterol in Alzheimer's Disease? A Mechanistical Study. Journal of Neuroscience. 33(41). 16072–16087. 97 indexed citations
17.
Vanmierlo, Tim, Oliver Weingärtner, Susanne van der Pol, et al.. (2012). Dietary intake of plant sterols stably increases plant sterol levels in the murine brain. Journal of Lipid Research. 53(4). 726–735. 98 indexed citations
18.
Grimm, Marcus O.W., Sven Grösgen, Verena K. Burg, et al.. (2011). Docosahexaenoic Acid Reduces Amyloid β Production via Multiple Pleiotropic Mechanisms. Journal of Biological Chemistry. 286(16). 14028–14039. 180 indexed citations
19.
Grimm, Marcus O.W., Heike S. Grimm, Inge Tomic, et al.. (2008). Independent Inhibition of Alzheimer Disease β- and γ-Secretase Cleavage by Lowered Cholesterol Levels. Journal of Biological Chemistry. 283(17). 11302–11311. 105 indexed citations
20.
Sakas, Georgios, et al.. (1994). Case study: visualization of 3D ultrasonic data. IEEE Visualization. 369–373. 2 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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