Jose Imperio

820 total citations
8 papers, 415 citations indexed

About

Jose Imperio is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Jose Imperio has authored 8 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Jose Imperio's work include Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (1 paper). Jose Imperio is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (1 paper). Jose Imperio collaborates with scholars based in France, United States and Switzerland. Jose Imperio's co-authors include William J. Meilandt, Guita Lalehzadeh, Amy Easton, Hai Ngu, Oded Foreman, Seung-Hye Lee, Matthew H. Bailey, Morgan Sheng, Kimberly L. Stark and Brad A. Friedman and has published in prestigious journals such as Neuron, Journal of Neuroscience and Neurology.

In The Last Decade

Jose Imperio

8 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jose Imperio France 6 239 178 123 102 52 8 415
Baian Chen China 15 96 0.4× 166 0.9× 23 0.2× 260 2.5× 34 0.7× 27 493
Marcus Y. Chin United States 8 142 0.6× 120 0.7× 37 0.3× 111 1.1× 33 0.6× 10 305
Berevan Baban United States 10 84 0.4× 164 0.9× 39 0.3× 215 2.1× 31 0.6× 12 410
Joana S. Cristóvão Portugal 12 69 0.3× 250 1.4× 48 0.4× 314 3.1× 46 0.9× 20 549
Karla Kopec United States 6 86 0.4× 109 0.6× 39 0.3× 132 1.3× 42 0.8× 10 306
Moorthi Ponnusamy India 7 67 0.3× 148 0.8× 17 0.1× 97 1.0× 43 0.8× 7 264
Fiona Grueninger Switzerland 7 67 0.3× 176 1.0× 18 0.1× 147 1.4× 82 1.6× 8 342
Seungyeop Baek South Korea 7 41 0.2× 171 1.0× 24 0.2× 121 1.2× 43 0.8× 12 303
Ang Xing China 7 57 0.2× 132 0.7× 17 0.1× 118 1.2× 50 1.0× 10 321
Chaeyoung Kim South Korea 10 38 0.2× 192 1.1× 61 0.5× 313 3.1× 54 1.0× 15 446

Countries citing papers authored by Jose Imperio

Since Specialization
Citations

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

Fields of papers citing papers by Jose Imperio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jose Imperio

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

All Works

8 of 8 papers shown
1.
Roudnicky, Filip, Alvin Gogineni, Allison Soung, et al.. (2024). A fluorescent splice-switching mouse model enables high-throughput, sensitive quantification of antisense oligonucleotide delivery and activity. Cell Reports Methods. 4(1). 100673–100673. 3 indexed citations
2.
Lee, Seung-Hye, William J. Meilandt, Luke Xie, et al.. (2021). Trem2 restrains the enhancement of tau accumulation and neurodegeneration by β-amyloid pathology. Neuron. 109(8). 1283–1301.e6. 159 indexed citations
3.
Domínguez, Sara L., Eugene Varfolomeev, Robert P. Brendza, et al.. (2020). Genetic inactivation of RIP1 kinase does not ameliorate disease in a mouse model of ALS. Cell Death and Differentiation. 28(3). 915–931. 24 indexed citations
4.
Meilandt, William J., Hai Ngu, Alvin Gogineni, et al.. (2020). Trem2 Deletion Reduces Late-Stage Amyloid Plaque Accumulation, Elevates the Aβ42:Aβ40 Ratio, and Exacerbates Axonal Dystrophy and Dendritic Spine Loss in the PS2APP Alzheimer's Mouse Model. Journal of Neuroscience. 40(9). 1956–1974. 125 indexed citations
5.
Meilandt, William J., Janice Maloney, Jose Imperio, et al.. (2019). Characterization of the selective in vitro and in vivo binding properties of crenezumab to oligomeric Aβ. Alzheimer s Research & Therapy. 11(1). 97–97. 27 indexed citations
6.
Meilandt, William J., Janice Maloney, Jose Imperio, et al.. (2018). Characterization of the Selective In Vivo and In Vitro Binding Properties of Crenezumab: Insights into Crenezumab’s Unique Mechanism of Action (P6.174). Neurology. 90(15_supplement). 3 indexed citations
7.
Patel, Snahel, William J. Meilandt, Jinhua Chen, et al.. (2017). Selective Inhibitors of Dual Leucine Zipper Kinase (DLK, MAP3K12) with Activity in a Model of Alzheimer’s Disease. Journal of Medicinal Chemistry. 60(19). 8083–8102. 48 indexed citations
8.
Lubach, Joseph W., Jonathan Hau, Jose Imperio, et al.. (2013). Investigation of the Rat Model for Preclinical Evaluation of pH-Dependent Oral Absorption in Humans. Molecular Pharmaceutics. 10(11). 3997–4004. 26 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026