Daniel J. Kuster
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Protein Structure and Dynamics 3
- Chemical Synthesis and Analysis 3
- Enzyme function and inhibition 1
- RNA and protein synthesis mechanisms 1
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- Click Chemistry and Applications 2
- Co-authors
- Garland R. Marshall (6 shared papers)Cédric Louvet (1 shared paper)James M. Gardner (1 shared paper)Samantha L. Bailey-Bucktrout (1 shared paper)Francis M. Sverdrup (1 shared paper)Richard D. Head (1 shared paper)Marc Martínez‐Llordella (1 shared paper)David J. Weiss (1 shared paper)
- Journals
- The Journal of Experimental Medicine (1 paper)Chemistry - A European Journal (1 paper)Biophysical Journal (1 paper)PLoS ONE (1 paper)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel J. Kuster
7 papers receiving 652 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 448
- Oncology 85
- Molecular Biology 199
- Transplantation 7
- Immunology and Allergy 12
Countries citing papers authored by Daniel J. Kuster
This map shows the geographic impact of Daniel J. Kuster'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 J. Kuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Kuster more than expected).
Fields of papers citing papers by Daniel J. Kuster
This network shows the impact of papers produced by Daniel J. Kuster. 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 J. Kuster. The network helps show where Daniel J. Kuster may publish in the future.
Co-authors
The 20 scholars most cited alongside Daniel J. Kuster, 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 | Neuropilin-1 distinguishes natural and inducible regulatory T cells among regulatory T cell subsets in vivo Hit paper breakdown → | 2012 | 519 |
| 2 | 2007 | 77 | |
| 3 | 2015 | 24 | |
| 4 | 2005 | 18 | |
| 5 | 2010 | 14 | |
| 6 | 2009 | 6 | |
| 7 | 2009 | 1 |
About Daniel J. Kuster
Daniel J. Kuster is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Pharmacology and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 659 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Computational Drug Discovery Methods (1 paper), Advanced Chemical Physics Studies (1 paper), Enzyme function and inhibition (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (448 citations), Oncology (85 citations), Molecular Biology (199 citations), Transplantation (7 citations) and Immunology and Allergy (12 citations). Daniel J. Kuster has collaborated with scholars based in United States and Australia. Frequent co-authors include Garland R. Marshall, Cédric Louvet, James M. Gardner, Samantha L. Bailey-Bucktrout, Francis M. Sverdrup, Richard D. Head, Marc Martínez‐Llordella, David J. Weiss, Mahesh Yadav and David von Schack. Their work appears in journals such as The Journal of Experimental Medicine, Chemistry - A European Journal, Biophysical Journal, PLoS ONE and Journal of Computer-Aided Molecular Design.
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.