Michelle E. Pizzo

2.9k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Michelle E. Pizzo is a scholar working on Neurology, Aerospace Engineering and Biomedical Engineering. According to data from OpenAlex, Michelle E. Pizzo has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Aerospace Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Michelle E. Pizzo's work include Barrier Structure and Function Studies (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). Michelle E. Pizzo is often cited by papers focused on Barrier Structure and Function Studies (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). Michelle E. Pizzo collaborates with scholars based in United States, Ghana and United Kingdom. Michelle E. Pizzo's co-authors include N. Joan Abbott, Robert G. Thorne, Jane E. Preston, Damir Janigro, Rick F. Thorne, Jeffrey J. Lochhead, Lydia Sorokin, Melanie‐Jane Hannocks, Robert G. Thorne and Niyanta Kumar and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and Journal of Controlled Release.

In The Last Decade

Michelle E. Pizzo

18 papers receiving 1.2k citations

Hit Papers

The role of brain barriers in fluid movement in the CNS: ... 2018 2026 2020 2023 2018 100 200 300 400
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.

  1. The role of brain barriers in fluid movement in the CNS: is there a ‘glymphatic’ system?
    2018 411 citations N. Joan Abbott, Michelle E. Pizzo et al. Acta Neuropathologica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle E. Pizzo United States 10 584 343 246 207 205 18 1.2k
Byung‐Ju Jin United States 13 434 0.7× 253 0.7× 99 0.4× 140 0.7× 309 1.5× 17 1.0k
Andrei Zakharov Canada 9 698 1.2× 355 1.0× 107 0.4× 277 1.3× 92 0.4× 14 994
Katsukuni Fujimoto Japan 10 479 0.8× 263 0.8× 139 0.6× 181 0.9× 166 0.8× 20 969
Jesse A. Stokum United States 18 399 0.7× 700 2.0× 277 1.1× 170 0.8× 406 2.0× 36 1.6k
Thomas Brinker Germany 21 1.3k 2.3× 1.0k 3.0× 196 0.8× 502 2.4× 387 1.9× 56 2.4k
Nadia Aalling Denmark 6 898 1.5× 529 1.5× 297 1.2× 263 1.3× 258 1.3× 7 1.7k
Sandro Dá Mesquita United States 15 472 0.8× 341 1.0× 557 2.3× 123 0.6× 299 1.5× 25 1.5k
Yeni H. Yücel Canada 26 372 0.6× 276 0.8× 355 1.4× 60 0.3× 817 4.0× 63 2.4k
Motoki Inaji Japan 20 377 0.6× 398 1.2× 249 1.0× 105 0.5× 268 1.3× 110 1.5k

Countries citing papers authored by Michelle E. Pizzo

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Pizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle E. Pizzo. 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 Michelle E. Pizzo. The network helps show where Michelle E. Pizzo may publish in the future.

Co-authorship network of co-authors of Michelle E. Pizzo

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

All Works

18 of 18 papers shown
1.
Miller, Kaitlin C., Natalie Hudson, Michelle E. Pizzo, et al.. (2022). Brain barriers virtual: an interim solution or future opportunity?. Fluids and Barriers of the CNS. 19(1). 19–19. 1 indexed citations
2.
Pizzo, Michelle E., et al.. (2019). Abstracts from the 13th International Conference on Cerebral Vascular Biology (CVB 2019). Fluids and Barriers of the CNS. 16(S1). 1 indexed citations
3.
Abbott, N. Joan, Michelle E. Pizzo, Jane E. Preston, Damir Janigro, & Rick F. Thorne. (2018). The role of brain barriers in fluid movement in the CNS: is there a ‘glymphatic’ system?. Acta Neuropathologica. 135(3). 387–407. 411 indexed citations breakdown →
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Kumar, Niyanta, et al.. (2018). Passive Immunotherapies for Central Nervous System Disorders: Current Delivery Challenges and New Approaches. Bioconjugate Chemistry. 29(12). 3937–3966. 23 indexed citations
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Hu, Fang Q., Michelle E. Pizzo, & Douglas M. Nark. (2018). On the use of a Prandtl-Glauert-Lorentz transformation for acoustic scattering by rigid bodies with a uniform flow. Journal of Sound and Vibration. 443. 198–211. 17 indexed citations
9.
Hu, Fang Q., Michelle E. Pizzo, & Douglas M. Nark. (2017). A New Formulation of Time Domain Boundary Integral Equation for Acoustic Wave Scattering in the Presence of a Uniform Mean Flow. ODU Digital Commons (Old Dominion University). 2 indexed citations
10.
Pizzo, Michelle E. & David E. Glass. (2017). Characterization of a Method for Inverse Heat Conduction Using Real and Simulated Thermocouple Data. 55th AIAA Aerospace Sciences Meeting. 1 indexed citations
11.
Hu, Fang Q., Michelle E. Pizzo, & Douglas M. Nark. (2017). On a time domain boundary integral equation formulation for acoustic scattering by rigid bodies in uniform mean flow. The Journal of the Acoustical Society of America. 142(6). 3624–3636. 18 indexed citations
12.
Hannocks, Melanie‐Jane, Michelle E. Pizzo, Jula Huppert, et al.. (2017). Molecular characterization of perivascular drainage pathways in the murine brain. Journal of Cerebral Blood Flow & Metabolism. 38(4). 669–686. 148 indexed citations
13.
Pizzo, Michelle E., Niyanta Kumar, Eric Brunette, et al.. (2017). Intrathecal antibody distribution in the rat brain: surface diffusion, perivascular transport and osmotic enhancement of delivery. The Journal of Physiology. 596(3). 445–475. 202 indexed citations
14.
Pizzo, Michelle E., et al.. (2016). Visible and Sub-visible Particle Formation for a Model Bioconjugate. AAPS PharmSciTech. 18(3). 926–931. 5 indexed citations
15.
Pizzo, Michelle E., David E. Glass, & Kim S. Bey. (2016). Analysis of Internal Thermocouple Data in Carbon/Carbon Using Inverse Heat Conduction Methods. 54th AIAA Aerospace Sciences Meeting. 1 indexed citations
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Pizzo, Michelle E., et al.. (2014). Probing the extracellular diffusion of antibodies in brain using in vivo integrative optical imaging and ex vivo fluorescence imaging. Journal of Controlled Release. 197. 78–86. 54 indexed citations
18.
Lochhead, Jeffrey J., et al.. (2014). Rapid Transport within Cerebral Perivascular Spaces Underlies Widespread Tracer Distribution in the Brain after Intranasal Administration. Journal of Cerebral Blood Flow & Metabolism. 35(3). 371–381. 204 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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