Mark Marzano

441 total citations
11 papers, 348 citations indexed

About

Mark Marzano is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Mark Marzano has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Developmental Neuroscience. Recurrent topics in Mark Marzano's work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Mark Marzano is often cited by papers focused on Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Mark Marzano collaborates with scholars based in United States. Mark Marzano's co-authors include Yan Li, Julie Bejoy, Richard Jeske, Liqing Song, Teng Ma, Qing‐Xiang Amy Sang, Timothy Hua, Yi Zhou, Zachary Jones and Jingjiao Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cells.

In The Last Decade

Mark Marzano

11 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Marzano United States 9 228 77 76 74 72 11 348
Beata Werne Solnestam Sweden 8 216 0.9× 60 0.8× 60 0.8× 40 0.5× 68 0.9× 10 484
Julie Bejoy United States 16 317 1.4× 70 0.9× 170 2.2× 65 0.9× 101 1.4× 24 515
Lise Morizur France 9 252 1.1× 45 0.6× 24 0.3× 48 0.6× 121 1.7× 15 397
Sergiy Velychko Germany 11 416 1.8× 47 0.6× 36 0.5× 31 0.4× 112 1.6× 14 503
Jessy V. van Asperen Netherlands 8 142 0.6× 56 0.7× 40 0.5× 35 0.5× 40 0.6× 10 257
Nicolas Daviaud United States 8 264 1.2× 39 0.5× 107 1.4× 44 0.6× 130 1.8× 11 463
Lijie Guo China 10 271 1.2× 55 0.7× 133 1.8× 23 0.3× 79 1.1× 17 468
Eric Garrison United States 6 228 1.0× 69 0.9× 61 0.8× 19 0.3× 135 1.9× 10 346
Takeshi K. Matsui Japan 10 246 1.1× 45 0.6× 85 1.1× 17 0.2× 93 1.3× 14 359
Walison N. Silva Brazil 10 146 0.6× 51 0.7× 19 0.3× 45 0.6× 65 0.9× 19 397

Countries citing papers authored by Mark Marzano

Since Specialization
Citations

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

Fields of papers citing papers by Mark Marzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Marzano

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

All Works

11 of 11 papers shown
1.
Liu, Chang, Mark Marzano, Xingchi Chen, et al.. (2022). Human Forebrain Organoid-Derived Extracellular Vesicle Labeling with Iron Oxides for In Vitro Magnetic Resonance Imaging. Biomedicines. 10(12). 3060–3060. 17 indexed citations
2.
Marzano, Mark, Xingchi Chen, Zizheng Wang, et al.. (2022). Studying the Inflammatory Responses to Amyloid Beta Oligomers in Brain-Specific Pericyte and Endothelial Co-Culture From Human Stem Cells. SHILAP Revista de lepidopterología. 4. 5 indexed citations
3.
Marzano, Mark, Allaura S. Cone, Sara B. York, et al.. (2021). Biogenesis of Extracellular Vesicles Produced from Human-Stem-Cell-Derived Cortical Spheroids Exposed to Iron Oxides. ACS Biomaterials Science & Engineering. 7(3). 1111–1122. 27 indexed citations
4.
Jeske, Richard, et al.. (2020). Engineering Brain-Specific Pericytes from Human Pluripotent Stem Cells. Tissue Engineering Part B Reviews. 26(4). 367–382. 22 indexed citations
5.
Bejoy, Julie, Brent M. Bijonowski, Mark Marzano, et al.. (2019). Wnt-Notch Signaling Interactions During Neural and Astroglial Patterning of Human Stem Cells. Tissue Engineering Part A. 26(7-8). 419–431. 24 indexed citations
6.
Jeske, Richard, Julie Bejoy, Mark Marzano, & Yan Li. (2019). Human Pluripotent Stem Cell-Derived Extracellular Vesicles: Characteristics and Applications. Tissue Engineering Part B Reviews. 26(2). 129–144. 41 indexed citations
7.
Bejoy, Julie, Liqing Song, Timothy Hua, et al.. (2019). Human Stem Cell-derived Aggregates of Forebrain Astroglia Respond to Amyloid Beta Oligomers. Tissue Engineering Part A. 26(9-10). 527–542. 8 indexed citations
8.
Song, Liqing, Xuegang Yuan, Zachary Jones, et al.. (2019). Functionalization of Brain Region-specific Spheroids with Isogenic Microglia-like Cells. Scientific Reports. 9(1). 11055–11055. 143 indexed citations
9.
10.
Yan, Yuanwei, Julie Bejoy, Mark Marzano, & Yan Li. (2019). The Use of Pluripotent Stem Cell-Derived Organoids to Study Extracellular Matrix Development during Neural Degeneration. Cells. 8(3). 242–242. 15 indexed citations
11.
Song, Liqing, Yuanwei Yan, Mark Marzano, & Yan Li. (2019). Studying Heterotypic Cell–Cell Interactions in the Human Brain Using Pluripotent Stem Cell Models for Neurodegeneration. Cells. 8(4). 299–299. 16 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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