Melissa Manis

3.5k total citations · 3 hit papers
16 papers, 2.1k citations indexed

About

Melissa Manis is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Melissa Manis has authored 16 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 8 papers in Physiology and 6 papers in Immunology. Recurrent topics in Melissa Manis's work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Alzheimer's disease research and treatments (8 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Melissa Manis is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Alzheimer's disease research and treatments (8 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Melissa Manis collaborates with scholars based in United States, Japan and Germany. Melissa Manis's co-authors include David M. Holtzman, Jason D. Ulrich, Mary Beth Finn, Chanung Wang, Yang Shi, Thomas E. Mahan, Jerrah K. Holth, Sarah K. Fritschi, John R. Cirrito and Patrick M. Fuller and has published in prestigious journals such as Nature, Science and Neuron.

In The Last Decade

Melissa Manis

16 papers receiving 2.1k citations

Hit Papers

The sleep-wake cycle regulates brain interstitial fluid t... 2019 2026 2021 2023 2019 2023 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Manis United States 12 1.1k 945 415 401 392 16 2.1k
Olga N. Kokiko‐Cochran United States 21 1.4k 1.3× 988 1.0× 644 1.6× 313 0.8× 515 1.3× 40 2.6k
Carmelina Gemma United States 27 1.7k 1.5× 521 0.6× 633 1.5× 548 1.4× 627 1.6× 41 3.0k
Kanchan Bisht Canada 21 1.6k 1.4× 502 0.5× 507 1.2× 341 0.9× 602 1.5× 35 2.5k
Ukpong B. Eyo United States 25 1.9k 1.7× 563 0.6× 457 1.1× 826 2.1× 649 1.7× 44 2.8k
Malin Wennström Sweden 23 708 0.6× 535 0.6× 279 0.7× 357 0.9× 51 0.1× 46 1.8k
Elizabeth E. Spangenberg United States 9 2.4k 2.1× 909 1.0× 688 1.7× 578 1.4× 1.0k 2.7× 9 3.3k
Harun N. Noristani France 23 909 0.8× 923 1.0× 579 1.4× 767 1.9× 170 0.4× 34 2.2k
Anita Lakatos United States 22 300 0.3× 707 0.7× 794 1.9× 361 0.9× 137 0.3× 33 1.9k
Naoko Kuzumaki Japan 28 293 0.3× 918 1.0× 745 1.8× 1.1k 2.7× 67 0.2× 70 2.4k
Zhenghua Xiang China 32 601 0.5× 434 0.5× 760 1.8× 459 1.1× 201 0.5× 84 2.9k

Countries citing papers authored by Melissa Manis

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Manis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Manis

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

All Works

16 of 16 papers shown
1.
Parhizkar, Samira, Xin Bao, Yun Chen, et al.. (2025). Lemborexant ameliorates tau-mediated sleep loss and neurodegeneration in males in a mouse model of tauopathy. Nature Neuroscience. 28(7). 1460–1472. 1 indexed citations
2.
Parhizkar, Samira, Eric Tycksen, Melissa Manis, et al.. (2024). Lemborexant, a Dual Orexin Receptor Antagonist, ameliorates Tau‐mediated Sleep Loss and Neurodegeneration. Alzheimer s & Dementia. 20(S1). e089253–e089253. 1 indexed citations
3.
Chen, Xiaoying, Maria Firulyova, Melissa Manis, et al.. (2023). Microglia-mediated T cell infiltration drives neurodegeneration in tauopathy. Nature. 615(7953). 668–677. 288 indexed citations breakdown →
4.
Drieu, Antoine, Siling Du, Megan E. Bosch, et al.. (2023). Parenchymal border macrophages regulate tau pathology and tau-mediated neurodegeneration. Life Science Alliance. 6(11). e202302087–e202302087. 15 indexed citations
5.
Litvinchuk, Alexandra, Jung H. Suh, Jing Guo, et al.. (2023). Amelioration of Tau and ApoE4-linked glial lipid accumulation and neurodegeneration with an LXR agonist. Neuron. 112(3). 384–403.e8. 61 indexed citations
6.
Chen, Xiaoying, Maria Firulyova, Melissa Manis, et al.. (2023). Microglia‐mediated T cell Infiltration Drives Neurodegeneration in Tauopathy. Alzheimer s & Dementia. 19(S13). 3 indexed citations
7.
Gratuze, Maud, Johannes C. M. Schlachetzki, Ricardo D’Oliveira Albanus, et al.. (2022). TREM2-independent microgliosis promotes tau-mediated neurodegeneration in the presence of ApoE4. Neuron. 111(2). 202–219.e7. 68 indexed citations
8.
Shi, Yang, Prabhakar S. Andhey, Christina Ising, et al.. (2021). Overexpressing low-density lipoprotein receptor reduces tau-associated neurodegeneration in relation to apoE-linked mechanisms. Neuron. 109(15). 2413–2426.e7. 84 indexed citations
9.
Litvinchuk, Alexandra, Tien‐Phat V. Huynh, Yang Shi, et al.. (2021). Apolipoprotein E4 Reduction with Antisense Oligonucleotides Decreases Neurodegeneration in a Tauopathy Model. Annals of Neurology. 89(5). 952–966. 52 indexed citations
10.
Wang, Chao, Monica Xiong, Maud Gratuze, et al.. (2021). Selective removal of astrocytic APOE4 strongly protects against tau-mediated neurodegeneration and decreases synaptic phagocytosis by microglia. Neuron. 109(10). 1657–1674.e7. 202 indexed citations breakdown →
11.
Cignarella, Francesca, Fabia Filipello, Bryan Bollman, et al.. (2020). TREM2 activation on microglia promotes myelin debris clearance and remyelination in a model of multiple sclerosis. Acta Neuropathologica. 140(4). 513–534. 257 indexed citations
12.
Shi, Yang, Prabhakar S. Andhey, Christina Ising, et al.. (2020). Overexpressing Low-Density Lipoprotein Receptor Reduces Tau-Associated Neurodegeneration Via ApoE-Dependent and Independent Mechanisms. SSRN Electronic Journal. 1 indexed citations
13.
Holth, Jerrah K., Sarah K. Fritschi, Chanung Wang, et al.. (2019). The sleep-wake cycle regulates brain interstitial fluid tau in mice and CSF tau in humans. Science. 363(6429). 880–884. 537 indexed citations breakdown →
14.
Shi, Yang, Melissa Manis, Justin M. Long, et al.. (2019). Microglia drive APOE-dependent neurodegeneration in a tauopathy mouse model. The Journal of Experimental Medicine. 216(11). 2546–2561. 263 indexed citations
15.
Leyns, Cheryl E. G., Maud Gratuze, Sneha Narasimhan, et al.. (2019). TREM2 function impedes tau seeding in neuritic plaques. Nature Neuroscience. 22(8). 1217–1222. 199 indexed citations
16.
Huynh, Tien‐Phat V., Chao Wang, G. Travis Tabor, et al.. (2019). Lack of hepatic apoE does not influence early Aβ deposition: observations from a new APOE knock-in model. Molecular Neurodegeneration. 14(1). 37–37. 87 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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