Marco Campisi

3.4k total citations · 1 hit paper
14 papers, 1.6k citations indexed

About

Marco Campisi is a scholar working on Oncology, Biomedical Engineering and Immunology. According to data from OpenAlex, Marco Campisi has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Biomedical Engineering and 5 papers in Immunology. Recurrent topics in Marco Campisi's work include 3D Printing in Biomedical Research (6 papers), Barrier Structure and Function Studies (4 papers) and interferon and immune responses (3 papers). Marco Campisi is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Barrier Structure and Function Studies (4 papers) and interferon and immune responses (3 papers). Marco Campisi collaborates with scholars based in United States, Italy and Singapore. Marco Campisi's co-authors include Roger D. Kamm, Tatsuya Osaki, Valeria Chiono, Yoojin Shin, Cynthia Hajal, Clara Mattu, Sharon Wei Ling Lee, Giulia Adriani, Camilla Paoletti and David A. Barbie and has published in prestigious journals such as Biomaterials, Cancer Research and Journal of Controlled Release.

In The Last Decade

Marco Campisi

14 papers receiving 1.6k citations

Hit Papers

3D self-organized microvascular model of the human blood-... 2018 2026 2020 2023 2018 100 200 300 400 500
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. 3D self-organized microvascular model of the human blood-brain barrier with endothelial cells, pericytes and astrocytes
    2018 541 citations Marco Campisi, Yoojin Shin et al. Biomaterials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Campisi United States 11 648 604 350 290 275 14 1.6k
Cynthia Hajal United States 15 484 0.7× 816 1.4× 475 1.4× 178 0.6× 350 1.3× 20 1.6k
Hua Huang China 21 570 0.9× 224 0.4× 345 1.0× 479 1.7× 88 0.3× 52 1.6k
Yiquan Ke China 26 1.1k 1.8× 229 0.4× 273 0.8× 265 0.9× 109 0.4× 100 2.0k
Xinchi Jiang China 23 908 1.4× 518 0.9× 94 0.3× 149 0.5× 101 0.4× 41 1.6k
Vasiliki Mahairaki United States 12 616 1.0× 202 0.3× 179 0.5× 77 0.3× 174 0.6× 21 1.1k
Andrew S. Lee United States 21 1.8k 2.8× 462 0.8× 227 0.6× 330 1.1× 82 0.3× 28 2.5k
Jacopo Di Russo Germany 13 358 0.6× 210 0.3× 159 0.5× 136 0.5× 134 0.5× 23 1.0k
Seuk Young Song South Korea 18 890 1.4× 772 1.3× 240 0.7× 531 1.8× 33 0.1× 25 2.0k
Zhong‐Dong Shi United States 18 985 1.5× 375 0.6× 206 0.6× 58 0.2× 114 0.4× 25 1.8k
Paola Campagnolo United Kingdom 23 922 1.4× 333 0.6× 136 0.4× 125 0.4× 67 0.2× 41 1.8k

Countries citing papers authored by Marco Campisi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Campisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Campisi

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

All Works

14 of 14 papers shown
1.
Tabasum, Saba, Dinesh Thapa, Anita Giobbie‐Hurder, et al.. (2023). EDIL3 as an Angiogenic Target of Immune Exclusion Following Checkpoint Blockade. Cancer Immunology Research. 11(11). 1493–1507. 13 indexed citations
2.
Campisi, Marco, Minyue Chen, Navin R. Mahadevan, et al.. (2023). Development of a Patient-Derived 3D Immuno-Oncology Platform to Potentiate Immunotherapy Responses in Ascites-Derived Circulating Tumor Cells. Cancers. 15(16). 4128–4128. 3 indexed citations
3.
Campisi, Marco, Sarah E. Shelton, Minyue Chen, et al.. (2022). Engineered Microphysiological Systems for Testing Effectiveness of Cell-Based Cancer Immunotherapies. Cancers. 14(15). 3561–3561. 16 indexed citations
4.
Wan, Zhengpeng, Shun Zhang, Sarah E. Shelton, et al.. (2021). A robust vasculogenic microfluidic model using human immortalized endothelial cells and Thy1 positive fibroblasts. Biomaterials. 276. 121032–121032. 31 indexed citations
5.
Lee, Sharon Wei Ling, Marco Campisi, Tatsuya Osaki, et al.. (2020). Modeling Nanocarrier Transport across a 3D In Vitro Human Blood‐Brain–Barrier Microvasculature. Advanced Healthcare Materials. 9(7). e1901486–e1901486. 82 indexed citations
6.
Campisi, Marco, et al.. (2020). 3D Self-Organized Human Blood–Brain Barrier in a Microfluidic Chip. Methods in molecular biology. 2258. 205–219. 16 indexed citations
7.
Campisi, Marco, Shriram K. Sundararaman, Sarah E. Shelton, et al.. (2020). Tumor-Derived cGAMP Regulates Activation of the Vasculature. Frontiers in Immunology. 11. 2090–2090. 48 indexed citations
8.
Lee, Sharon Wei Ling, Marco Campisi, Tatsuya Osaki, et al.. (2020). Blood‐Brain–Barrier Microvasculatures: Modeling Nanocarrier Transport across a 3D In Vitro Human Blood‐Brain–Barrier Microvasculature (Adv. Healthcare Mater. 7/2020). Advanced Healthcare Materials. 9(7). 2 indexed citations
9.
Lee, Sharon Wei Ling, Camilla Paoletti, Marco Campisi, et al.. (2019). MicroRNA delivery through nanoparticles. Journal of Controlled Release. 313. 80–95. 311 indexed citations
10.
Campisi, Marco, Shriram K. Sundararaman, Shunsuke Kitajima, et al.. (2019). Abstract 958: Tumor-vascular interactions promote STING-driven inflammation in the tumor microenvironment. Cancer Research. 79(13_Supplement). 958–958. 1 indexed citations
11.
Kitajima, Shunsuke, Elena V. Ivanova, Sujuan Guo, et al.. (2018). Suppression of STING Associated with LKB1 Loss in KRAS-Driven Lung Cancer. Cancer Discovery. 9(1). 34–45. 348 indexed citations
12.
Hajal, Cynthia, Marco Campisi, Clara Mattu, Valeria Chiono, & Roger D. Kamm. (2018). In vitro models of molecular and nano-particle transport across the blood-brain barrier. Biomicrofluidics. 12(4). 42213–42213. 58 indexed citations
13.
Campisi, Marco, Yoojin Shin, Tatsuya Osaki, et al.. (2018). 3D self-organized microvascular model of the human blood-brain barrier with endothelial cells, pericytes and astrocytes. Biomaterials. 180. 117–129. 541 indexed citations breakdown →
14.
Osaki, Tatsuya, Yoojin Shin, Vivek Sivathanu, Marco Campisi, & Roger D. Kamm. (2017). In Vitro Microfluidic Models for Neurodegenerative Disorders. Advanced Healthcare Materials. 7(2). 116 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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