Aaron Mack

527 citations
21 papers · 422 · h-index 10

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Nanowire Synthesis and Applications
    • Graphene and Nanomaterials Applications
    • Nanoplatforms for cancer theranostics

Papers in

Aaron Mack

19 papers receiving 415 citations

Peers

Aaron Mack
Comparison fields: 5 of 78
  • Biomaterials 115
  • Biomedical Engineering 178
  • Materials Chemistry 137
  • Molecular Biology 162
  • Surfaces, Coatings and Films 16
Replace Jason V. Gregory with:
Jason V. Gregory United States
Boyu Su China
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Veronica Vighetto Italy
Ruomeng Qiu United States
Anna Pietuch Germany
Qishuai Feng China
Hui Shi China
Hongrong Yang Hong Kong
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Aaron Mack relative to Jason V. Gregory United States Jason V. Gregory's profile →
Citations per field
00.5×2×4×5.8×
Jason V. Gregory · 1×
Citations per year

Countries citing papers authored by Aaron Mack

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aaron Mack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aaron Mack Line = papers co-authored together Aaron Mack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010103
2 201073
3 201057
4 201855
5 201924
6
Proteomic analysis of serum opsonins impacting biodistribution and cellular association of porous silicon microparticles.
201123
7 201118
8 201916
9 201415
10 201912
11 20126
12 20236
13 20115
14 20243
15 20102
16 20211
17 20241
18 20131
19 20101
20 20240

About Aaron Mack

Aaron Mack is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Materials Chemistry and Surgery, having authored 21 papers that have together received 422 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Graphene and Nanomaterials Applications (4 papers), Silicon Nanostructures and Photoluminescence (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Extracellular vesicles in disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Biomaterials (115 citations), Biomedical Engineering (178 citations), Materials Chemistry (137 citations), Molecular Biology (162 citations) and Surfaces, Coatings and Films (16 citations). Aaron Mack has collaborated with scholars based in United States, Pakistan and Poland. Frequent co-authors include Rita E. Serda, Ciro Chiappini, Mauro Ferrari, Andrew J. Bean, Silvia Ferrati, Xuewu Liu, Mariusz Z. Ratajczak, Biana Godin, Anne L. van de Ven and Janina Ratajczak. Their work appears in journals such as Small, Molecular Imaging, Journal of Controlled Release, Frontiers in Psychiatry and Nanoscale.

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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