Djuna von Maydell

1.1k total citations · 1 hit paper
6 papers, 377 citations indexed

About

Djuna von Maydell is a scholar working on Neurology, Physiology and Pharmacology. According to data from OpenAlex, Djuna von Maydell has authored 6 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Physiology and 2 papers in Pharmacology. Recurrent topics in Djuna von Maydell's work include Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Djuna von Maydell is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Djuna von Maydell collaborates with scholars based in United States and United Kingdom. Djuna von Maydell's co-authors include Mehdi Jorfi, Rudolph E. Tanzi, Doo Yeon Kim, Liwang Liu, Hsin-Lan Wen, Gwyneth Welch, Matheus B. Victor, Li‐Huei Tsai, Aine Ni Scannail and Hiruy S. Meharena and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Djuna von Maydell

6 papers receiving 374 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lipid accumulation induced by APOE4 impairs microglial surveillance of neuronal-network activity

2022 154 citations Matheus B. Victor, Noelle Leary et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Djuna von Maydell United States	5	181	173	152	61	57	6	377
Jennifer Hua France	8	177 1.0×	177 1.0×	121 0.8×	48 0.8×	50 0.9×	15	390
Sofie Kessels Belgium	7	161 0.9×	283 1.6×	292 1.9×	96 1.6×	110 1.9×	12	541
Shun‐Fat Lau Hong Kong	9	204 1.1×	289 1.7×	204 1.3×	60 1.0×	106 1.9×	10	504
Evangelina Ávila-Muñoz Mexico	8	173 1.0×	133 0.8×	159 1.0×	65 1.1×	27 0.5×	9	447
Georgia Frost United States	7	306 1.7×	204 1.2×	163 1.1×	75 1.2×	25 0.4×	8	510
Aine Ni Scannail United States	5	162 0.9×	210 1.2×	203 1.3×	37 0.6×	105 1.8×	5	457
Nicole Koutsodendris United States	6	213 1.2×	134 0.8×	120 0.8×	34 0.6×	21 0.4×	7	371
Anna Podlesny‐Drabiniok France	8	153 0.8×	144 0.8×	159 1.0×	37 0.6×	51 0.9×	9	394
Maxine Nelson United States	9	278 1.5×	149 0.9×	215 1.4×	34 0.6×	26 0.5×	10	537
Prateep Pakavathkumar Canada	6	131 0.7×	118 0.7×	265 1.7×	61 1.0×	58 1.0×	7	435

Countries citing papers authored by Djuna von Maydell

Since Specialization

Citations

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

Fields of papers citing papers by Djuna von Maydell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Djuna von Maydell. 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 Djuna von Maydell. The network helps show where Djuna von Maydell may publish in the future.

Co-authorship network of co-authors of Djuna von Maydell

This figure shows the co-authorship network connecting the top 25 collaborators of Djuna von Maydell. A scholar is included among the top collaborators of Djuna von Maydell 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 Djuna von Maydell. Djuna von Maydell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Yeganeh, Pourya Naderi, Mehdi Jorfi, Djuna von Maydell, et al.. (2024). Integrative pathway analysis across humans and 3D cellular models identifies the p38 MAPK-MK2 axis as a therapeutic target for Alzheimer’s disease. Neuron. 113(2). 205–224.e8. 8 indexed citations

2.

Jorfi, Mehdi, Joseph Park, Chih‐Chung Lin, et al.. (2023). Infiltrating CD8+ T cells exacerbate Alzheimer’s disease pathology in a 3D human neuroimmune axis model. Nature Neuroscience. 26(9). 1489–1504. 91 indexed citations

3.

Victor, Matheus B., Noelle Leary, Hiruy S. Meharena, et al.. (2022). Lipid accumulation induced by APOE4 impairs microglial surveillance of neuronal-network activity. Cell stem cell. 29(8). 1197–1212.e8. 154 indexed citations breakdown →

4.

Washicosky, Kevin J., Djuna von Maydell, Susan Kim, et al.. (2020). Amyloid-β42/40 ratio drives tau pathology in 3D human neural cell culture models of Alzheimer’s disease. Nature Communications. 11(1). 1377–1377. 109 indexed citations

5.

Maydell, Djuna von & Mehdi Jorfi. (2020). A Synergistic Engineering Approach to Build Human Brain Spheroids. Methods in molecular biology. 151–169. 1 indexed citations

6.

Maydell, Djuna von & Mehdi Jorfi. (2019). The interplay between microglial states and major risk factors in Alzheimer’s disease through the eyes of single-cell RNA-sequencing: beyond black and white. Journal of Neurophysiology. 122(4). 1291–1296. 14 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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