Daniel Shae
Impact in
- Immunology top 2%
- interferon and immune responses
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Infectious Diseases top 10%
- Viral Infections and Vectors
Papers in
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- interferon and immune responses 6
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
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- vaccines and immunoinformatics approaches 2
- Co-authors
- John T. Wilson (10 shared papers)Kyle W. Becker (6 shared papers)Justin M. Balko (5 shared papers)Plamen P. Christov (4 shared papers)Sema Sevimli (2 shared papers)Dong Soo Yun (1 shared paper)Douglas B. Johnson (1 shared paper)Abigail K. R. Lytton‐Jean (1 shared paper)
- Journals
- ACS Nano (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Journal of Leukocyte Biology (1 paper)ACS Omega (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Daniel Shae
10 papers receiving 1.2k citations
Daniel Shae's Hit Papers
Peers
Comparison fields: 5 of 66
- Immunology 863
- Infectious Diseases 173
- Biomaterials 132
- Biomedical Engineering 381
- Oncology 205
Countries citing papers authored by Daniel Shae
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Endosomolytic polymersomes increase the activity of cyclic dinucleotide STING agonists to enhance cancer immunotherapy Hit paper breakdown → | 2019 | 559 |
| 2 | 2020 | 136 | |
| 3 | 2020 | 134 | |
| 4 | 2020 | 97 | |
| 5 | 2018 | 76 | |
| 6 | 2016 | 64 | |
| 7 | 2019 | 54 | |
| 8 | 2019 | 25 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 6 |
About Daniel Shae
Daniel Shae is a scholar working on Immunology, Molecular Biology, Biomedical Engineering, Oncology and Epidemiology, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (3 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), vaccines and immunoinformatics approaches (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Immunology (863 citations), Infectious Diseases (173 citations), Biomaterials (132 citations), Biomedical Engineering (381 citations) and Oncology (205 citations). Daniel Shae has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include John T. Wilson, Kyle W. Becker, Justin M. Balko, Plamen P. Christov, Sema Sevimli, Dong Soo Yun, Douglas B. Johnson, Abigail K. R. Lytton‐Jean, Manuel Ascano and Mark C. Kelley. Their work appears in journals such as ACS Nano, Journal for ImmunoTherapy of Cancer, Journal of Leukocyte Biology, ACS Omega and Biomaterials.
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.