Daniel Shae

1.6k citations
11 papers · 1.4k · 1 hit paper · h-index 11

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • interferon and immune responses
    • Nanoparticle-Based Drug Delivery

Papers in

Daniel Shae

11 papers receiving 1.4k citations

Daniel Shae's Hit Papers

Endosomolytic polymersomes increase the activity of cyclic dinucleotide STING agonists to enhance cancer immunotherapy 2019 · 598 citations
5980+2+4Years since publication100200300400500

Peers

Daniel Shae
Comparison fields: 5 of 46
  • Immunology 765
  • Biomaterials 304
  • Oncology 282
  • Biomedical Engineering 414
  • Molecular Medicine 27
Replace Min Luo with:
Min Luo China
Yale Yue China
Chayanon Ngambenjawong United States
Jinxing Xia China
Hao Qin China
Susan P. Foy United States
Clara Park United States
Hathaichanok Phuengkham United States
Vladimir Mulens‐Arias Spain
Nana Bie China
Daniel Shae relative to Min Luo China Min Luo's profile →
Citations per field
00.5×1.5×2×
Min Luo · 1×
Citations per year

Countries citing papers authored by Daniel Shae

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Endosomolytic polymersomes increase the activity of cyclic dinucleotide STING agonists to enhance cancer immunotherapy
Hit paper breakdown →
2019598
2 2020147
3 2020144
4 2020106
5 2023101
6 201880
7 201672
8 201958
9 201630
10 201927
11 202017

About Daniel Shae

Daniel Shae is a scholar working on Immunology, Biomaterials, Oncology, Biomedical Engineering and Pharmaceutical Science, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced Drug Delivery Systems (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Immunology (765 citations), Biomaterials (304 citations), Oncology (282 citations), Biomedical Engineering (414 citations) and Molecular Medicine (27 citations). Daniel Shae has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include John T. Wilson, Kyle W. Becker, Justin Micah Balko, Plamen P. Christov, Sema Sevimli, Dong Soo Yun, Douglas Buckner Johnson, Manuel Ascano, Abigail K. R. Lytton‐Jean and Mark C. Kelley. Their work appears in journals such as ACS Nano, Science Immunology, Journal of Controlled Release, ACS Omega and Journal of Leukocyte Biology.

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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