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
Papers in
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- Mass Spectrometry Techniques and Applications 2
-
- Protein Structure and Dynamics 3
- Chemical Synthesis and Analysis 3
- Enzyme function and inhibition 1
- Co-authors
- Garland R. Marshall (6 shared papers)Richard D. Head (1 shared paper)Dan W. Davini (1 shared paper)Cédric Louvet (1 shared paper)Mahesh Chandra Yadav (1 shared paper)Marc Martínez‐Llordella (1 shared paper)Francis M. Sverdrup (1 shared paper)Peter Ruminski (1 shared paper)
- Journals
- PLoS ONE (1 paper)Biophysical Journal (1 paper)The Journal of Experimental Medicine (1 paper)Biopolymers (1 paper)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel J. Kuster
7 papers receiving 681 citations
Peers
Comparison fields: 5 of 85
- Immunology 439
- Oncology 82
- Molecular Biology 202
- Transplantation 6
- Immunology and Allergy 13
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 19 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 | 2012 | 543 | |
| 2 | 2007 | 79 | |
| 3 | 2015 | 25 | |
| 4 | 2005 | 19 | |
| 5 | 2010 | 14 | |
| 6 | 2009 | 6 | |
| 7 | 2009 | 1 |
About Daniel J. Kuster
Daniel J. Kuster is a scholar working on Spectroscopy, Molecular Biology, Organic Chemistry, Pharmacology and Computational Theory and Mathematics, having authored 7 papers that have together received 687 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Click Chemistry and Applications (2 papers), Advanced Chemical Physics Studies (1 paper), Bacterial Genetics and Biotechnology (1 paper), Enzyme function and inhibition (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (439 citations), Oncology (82 citations), Molecular Biology (202 citations), Transplantation (6 citations) and Immunology and Allergy (13 citations). Daniel J. Kuster has collaborated with scholars based in United States and Australia. Frequent co-authors include Garland R. Marshall, Richard D. Head, Dan W. Davini, Cédric Louvet, Mahesh Chandra Yadav, Marc Martínez‐Llordella, Francis M. Sverdrup, Peter Ruminski, Samantha L. Bailey-Bucktrout and James Morgan Gardner. Their work appears in journals such as PLoS ONE, Biophysical Journal, The Journal of Experimental Medicine, Biopolymers 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.