Michael Sasner

2.1k total citations · 1 hit paper
31 papers, 974 citations indexed

About

Michael Sasner is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Michael Sasner has authored 31 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 13 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Michael Sasner's work include Alzheimer's disease research and treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Nuclear Receptors and Signaling (7 papers). Michael Sasner is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Nuclear Receptors and Signaling (7 papers). Michael Sasner collaborates with scholars based in United States, United Kingdom and Canada. Michael Sasner's co-authors include Andrés Buonanno, Gareth R. Howell, Ryoji Yano, Miwako Ozaki, Hsieng S. Lu, Stacey J. Sukoff Rizzo, Kristen D. Onos, Gregory W. Carter, Dylan Garceau and Adrian L. Oblak and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Michael Sasner

30 papers receiving 961 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.

Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease

2023 145 citations Sebastiaan De Schepper, Gerard Crowley et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sasner United States	14	429	343	273	272	95	31	974
Desirée Loreth Germany	13	360 0.8×	311 0.9×	190 0.7×	210 0.8×	56 0.6×	23	850
Mickaël Audrain France	14	432 1.0×	461 1.3×	380 1.4×	175 0.6×	168 1.8×	28	1.1k
Daniel Orellana Italy	10	336 0.8×	278 0.8×	291 1.1×	158 0.6×	112 1.2×	11	772
Juan Ignacio Díaz‐Hernandéz Spain	17	448 1.0×	172 0.5×	170 0.6×	197 0.7×	156 1.6×	24	1.2k
Anna R. Malik Poland	17	580 1.4×	225 0.7×	133 0.5×	349 1.3×	116 1.2×	27	1.1k
Guojun Ma China	8	588 1.4×	270 0.8×	174 0.6×	284 1.0×	95 1.0×	16	1.1k
Kenichi Nagata Japan	14	522 1.2×	601 1.8×	237 0.9×	263 1.0×	111 1.2×	30	1.2k
Petar Podlesniy Spain	17	520 1.2×	290 0.8×	143 0.5×	292 1.1×	56 0.6×	29	922
Anne H. P. Jansen Netherlands	11	463 1.1×	384 1.1×	405 1.5×	272 1.0×	35 0.4×	12	1.0k
Simone Pacioni Italy	16	587 1.4×	334 1.0×	150 0.5×	455 1.7×	82 0.9×	20	1.4k

Countries citing papers authored by Michael Sasner

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sasner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sasner

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

All Works

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20 of 20 papers shown

Pandey, Ravi S., Matthias Arnold, Richa Batra, et al.. (2024). Metabolomics profiling reveals distinct, sex‐specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimer s & Dementia. 20(6). 3987–4001. 11 indexed citations

Rangel‐Barajas, Claudia, Adrian L. Oblak, Cynthia M. Ingraham, et al.. (2024). The Role of diet x gene interaction in LOAD2.Plcg2^M28L mice. Alzheimer s & Dementia. 20(S1). e091334–e091334. 1 indexed citations

Pandey, Ravi S., Gregory W. Carter, Gareth R. Howell, et al.. (2024). Distinct mouse models correspond to distinct AD molecular subtypes. Alzheimer s & Dementia. 20(S1). e087565–e087565. 1 indexed citations

Benzow, Kellie, et al.. (2024). Gene replacement‐Alzheimer's disease (GR‐AD): Modeling the genetics of human dementias in mice. Alzheimer s & Dementia. 20(4). 3080–3087. 7 indexed citations

Schepper, Sebastiaan De, Gerard Crowley, Laís S. S. Ferreira, et al.. (2023). Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease. Nature Neuroscience. 26(3). 406–415. 145 indexed citations breakdown →

Pandey, Ravi S., Kevin P. Kotredes, Michael Sasner, Gareth R. Howell, & Gregory W. Carter. (2023). Differential splicing of neuronal genes in a Trem2*R47H mouse model mimics alterations associated with Alzheimer’s disease. BMC Genomics. 24(1). 172–172. 5 indexed citations

Reagan, Alaina M., Karen E. Christensen, Leah Graham, et al.. (2022). The 677C > T variant in methylenetetrahydrofolate reductase causes morphological and functional cerebrovascular deficits in mice. Journal of Cerebral Blood Flow & Metabolism. 42(12). 2333–2350. 9 indexed citations

Foley, Kate E., et al.. (2022). APOE ε4 and exercise interact in a sex‐specific manner to modulate dementia risk factors. Alzheimer s & Dementia Translational Research & Clinical Interventions. 8(1). e12308–e12308. 5 indexed citations

Reagan, Alaina M., Kristen D. Onos, Sarah E. Heuer, Michael Sasner, & Gareth R. Howell. (2022). Improving mouse models for the study of Alzheimer's disease. Current topics in developmental biology. 148. 79–113. 2 indexed citations

10.

Menzies, Georgina, Tom J. Phillips, Michael Sasner, et al.. (2021). PIP2 depletion and altered endocytosis caused by expression of Alzheimer's disease‐protective variant PLCγ2 R522. The EMBO Journal. 40(17). e105603–e105603. 23 indexed citations

11.

Polinski, Nicole K., Terina N. Martinez, A. Gorodinsky, et al.. (2021). Decreased glucocerebrosidase activity and substrate accumulation of glycosphingolipids in a novel GBA1 D409V knock-in mouse model. PLoS ONE. 16(6). e0252325–e0252325. 23 indexed citations

12.

Kotredes, Kevin P., Adrian L. Oblak, Christoph Preuß, et al.. (2021). LOAD2: A late‐onset Alzheimer’s disease mouse model expressing APOEε4 , Trem2*R47H , and humanized amyloid‐beta. Alzheimer s & Dementia. 17(S3). 3 indexed citations

13.

Oblak, Adrian L., Stefânia Forner, Paul R. Territo, et al.. (2020). Model organism development and evaluation for late‐onset Alzheimer's disease: MODEL‐AD. Alzheimer s & Dementia Translational Research & Clinical Interventions. 6(1). e12110–e12110. 62 indexed citations

14.

Uyar, Aslı, et al.. (2020). Staging Alzheimer’s Disease in the Brain and Retina of B6.APP/PS1 Mice by Transcriptional Profiling. Journal of Alzheimer s Disease. 73(4). 1421–1434. 19 indexed citations

15.

Preuß, Christoph, Ravi S. Pandey, Erin Piazza, et al.. (2020). A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 67–67. 26 indexed citations

16.

Goodwin, Leslie O., Erik Splinter, Hao He, et al.. (2019). Large-scale discovery of mouse transgenic integration sites reveals frequent structural variation and insertional mutagenesis. Genome Research. 29(3). 494–505. 128 indexed citations

17.

Kotredes, Kevin P., Christoph Preuß, Ravi S. Pandey, et al.. (2019). P2‐131: NOVEL APOE4.TREM2*R47H MOUSE MODEL: A BETTER TOOL FOR LATE‐ONSET ALZHEIMER'S DISEASE. Alzheimer s & Dementia. 15(7S_Part_12). 1 indexed citations

18.

Sasner, Michael, Harriet M. Williams, Adrian L. Oblak, et al.. (2018). P4‐031: NOVEL MODELS OF LATE‐ONSET ALZHEIMER'S DISEASE BASED ON GWAS. Alzheimer s & Dementia. 14(7S_Part_27). 1 indexed citations

19.

Onos, Kristen D., Stacey J. Sukoff Rizzo, Gareth R. Howell, & Michael Sasner. (2015). Toward more predictive genetic mouse models of Alzheimer's disease. Brain Research Bulletin. 122. 1–11. 122 indexed citations

20.

Ozaki, Miwako, Michael Sasner, Ryoji Yano, Hsieng S. Lu, & Andrés Buonanno. (1997). Neuregulin-β induces expression of an NMDA-receptor subunit. Nature. 390(6661). 691–694. 216 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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