Michael F. Cuccarese

2.3k total citations · 2 hit papers
11 papers, 1.8k citations indexed

About

Michael F. Cuccarese is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michael F. Cuccarese has authored 11 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Michael F. Cuccarese's work include Immune cells in cancer (4 papers), Phagocytosis and Immune Regulation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Michael F. Cuccarese is often cited by papers focused on Immune cells in cancer (4 papers), Phagocytosis and Immune Regulation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Michael F. Cuccarese collaborates with scholars based in United States and South Korea. Michael F. Cuccarese's co-authors include Ralph Weissleder, Mikäel J. Pittet, Rainer H. Köhler, Christopher Garris, Sean P. Arlauckas, Christopher B. Rodell, Ran Li, Maaz S. Ahmed, Miles A. Miller and Katherine S. Yang and has published in prestigious journals such as Nature Communications, Cancer Research and Chemical Communications.

In The Last Decade

Michael F. Cuccarese

10 papers receiving 1.8k 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.

TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy

2018 867 citations Christopher B. Rodell, Sean P. Arlauckas et al. Nature Biomedical Engineering profile →
In vivo imaging reveals a tumor-associated macrophage–mediated resistance pathway in anti–PD-1 therapy

2017 504 citations Sean P. Arlauckas, Christopher Garris et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael F. Cuccarese United States	9	1.1k	692	635	520	277	11	1.8k
Sean P. Arlauckas United States	12	1.4k 1.3×	613 0.9×	694 1.1×	851 1.6×	207 0.7×	17	2.3k
Christopher Garris United States	20	2.0k 1.8×	778 1.1×	1.1k 1.8×	1.1k 2.2×	237 0.9×	33	3.3k
Felix B. Salazar United States	18	605 0.5×	516 0.7×	700 1.1×	371 0.7×	146 0.5×	29	1.6k
Juliana Hamzah Australia	21	599 0.5×	281 0.4×	628 1.0×	736 1.4×	200 0.7×	37	1.7k
Sritama Nath United States	13	362 0.3×	545 0.8×	802 1.3×	1.1k 2.0×	103 0.4×	22	2.0k
Israt S. Alam United States	22	413 0.4×	371 0.5×	535 0.8×	360 0.7×	87 0.3×	44	1.3k
Ling Tong United States	8	595 0.5×	367 0.5×	730 1.1×	871 1.7×	280 1.0×	11	1.9k
Neha N. Parayath United States	19	620 0.6×	555 0.8×	457 0.7×	927 1.8×	386 1.4×	29	1.8k
Junhua Mai United States	25	554 0.5×	595 0.9×	534 0.8×	1.1k 2.1×	472 1.7×	58	2.1k
Chiara Brignole Italy	29	642 0.6×	397 0.6×	494 0.8×	1.4k 2.7×	511 1.8×	55	2.7k

Countries citing papers authored by Michael F. Cuccarese

Since Specialization

Citations

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

Fields of papers citing papers by Michael F. Cuccarese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael F. Cuccarese

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

All Works

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11 of 11 papers shown

Sarkar, Biplab, Sean P. Arlauckas, Michael F. Cuccarese, et al.. (2024). Host-functionalization of macrin nanoparticles to enable drug loading and control tumor-associated macrophage phenotype. Frontiers in Immunology. 15. 1331480–1331480. 2 indexed citations

Cuccarese, Michael F., et al.. (2022). Abstract 1888: Identification and optimization of novel small molecule modulators of immune checkpoint resistance with a unified representation space for genomic and chemical perturbations. Cancer Research. 82(12_Supplement). 1888–1888.

Rodell, Christopher B., Sean P. Arlauckas, Michael F. Cuccarese, et al.. (2018). TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy. Nature Biomedical Engineering. 2(8). 578–588. 867 indexed citations breakdown →

Arlauckas, Sean P., Christopher Garris, Rainer H. Köhler, et al.. (2017). In vivo imaging reveals a tumor-associated macrophage–mediated resistance pathway in anti–PD-1 therapy. Science Translational Medicine. 9(389). 504 indexed citations breakdown →

Miller, Miles A., Eunha Kim, Michael F. Cuccarese, et al.. (2017). Near infrared imaging of Mer tyrosine kinase (MERTK) using MERi-SiR reveals tumor associated macrophage uptake in metastatic disease. Chemical Communications. 54(1). 42–45. 21 indexed citations

Miller, Miles A., Ravi A. Chandra, Michael F. Cuccarese, et al.. (2017). Radiation therapy primes tumors for nanotherapeutic delivery via macrophage-mediated vascular bursts. Science Translational Medicine. 9(392). 184 indexed citations

Cuccarese, Michael F., J. Matthew Dubach, Christina Pfirschke, et al.. (2017). Heterogeneity of macrophage infiltration and therapeutic response in lung carcinoma revealed by 3D organ imaging. Nature Communications. 8(1). 146 indexed citations

Dubach, J. Matthew, Eunha Kim, Katherine S. Yang, et al.. (2016). Quantitating drug-target engagement in single cells in vitro and in vivo. Nature Chemical Biology. 13(2). 168–173. 65 indexed citations

Cuccarese, Michael F., Yanping Wang, Penny J. Beuning, & George A. O’Doherty. (2014). Cryptocaryol Structure–Activity Relationship Study of Cancer Cell Cytotoxicity and Ability to Stabilize PDCD4. ACS Medicinal Chemistry Letters. 5(5). 522–526. 23 indexed citations

10.

Cuccarese, Michael F., Amit Singh, Mansoor M. Amiji, & George A. O’Doherty. (2013). A Novel Use of Gentamicin in the ROS-Mediated Sensitization of NCI-H460 Lung Cancer Cells to Various Anticancer Agents. ACS Chemical Biology. 8(12). 2771–2777. 20 indexed citations

11.

Cuccarese, Michael F., et al.. (2013). Application of the Wharton Rearrangement for the de novo Synthesis of Pyranosides with ido, manno, and colito Stereochemistry. European Journal of Organic Chemistry. 2013(15). 3067–3075. 10 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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