Michael J. Mitchell

23.1k citations
164 papers · 16.8k indexed · 22 hit papers · h-index 52

Michael J. Mitchell

157 papers receiving 16.6k citations

Hit Papers

High-throughput...832016202620192022100200300400

Peers

Michael J. Mitchell
Comparison fields: 5 of 178
  • Biomaterials 3.8k
  • Immunology 3.4k
  • Pharmaceutical Science 842
  • Biomedical Engineering 5.5k
  • Molecular Biology 8.2k
Replace James J. Moon with:
James J. Moon United States
Hideyoshi Harashima Japan
Dan Peer Israel
Jinjun Shi United States
Weiwei Gao United States
Wei Tao China
Guangjun Nie China
Tatsuhiro Ishida Japan
Jinming Gao United States
Ronnie H. Fang United States
Michael J. Mitchell relative to James J. Moon United States James J. Moon's profile →
Citations per field
00.5×2.5×
James J. Moon · 1×
Citations per year

Countries citing papers authored by Michael J. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael J. Mitchell, 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 Michael J. Mitchell Line = papers co-authored together Michael J. Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20251
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7 202438
8 202442
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13
High-throughput barcoding of nanoparticles identifies cationic, degradable lipid-like materials for mRNA delivery to the lungs in female preclinical modelsbreakdown →
202483
14 202417
15 202323
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17 202332
18
Throughput-scalable manufacturing of SARS-CoV-2 mRNA lipid nanoparticle vaccinesbreakdown →
202368
19 202213
20 2020175

About Michael J. Mitchell

Michael J. Mitchell is a scholar working on Biomaterials, Immunology and Molecular Biology, having authored 164 papers that have together received 16.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (74 papers), Advanced biosensing and bioanalysis techniques (35 papers), Nanoparticle-Based Drug Delivery (19 papers), CAR-T cell therapy research (18 papers), Immunotherapy and Immune Responses (17 papers), Virus-based gene therapy research (15 papers), Lipid Membrane Structure and Behavior (12 papers) and Nanoplatforms for cancer theranostics (10 papers). The work is most often cited by research in Biomaterials (3.8k citations), Immunology (3.4k citations) and Pharmaceutical Science (842 citations). Michael J. Mitchell has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Róbert Langer, Margaret M. Billingsley, Rebecca M. Haley, Nicholas A. Peppas, Marissa E. Wechsler, Carl H. June, Rachel Riley, Michael R. King, Xuexiang Han and Drew Weissman. Their work appears in journals such as Nano Letters, Journal of Controlled Release, Nature Communications, ACS Nano and Proceedings of the National Academy of Sciences.

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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