David J. Shuster
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Cell Adhesion Molecules Research 4
- Immunology 16
- Immune Response and Inflammation 8
- Immune Cell Function and Interaction 5
- Co-authors
- Kim W. McIntyreMark LabowKathleen M. GilloolyEmily B. CullinanR ChizzoniteTamás BartfaiMaria ZetterströmCarmen C. Solórzano
- Journals
- Bioorganic & Medicinal Chemistry Letters (7 papers)Journal of Medicinal Chemistry (5 papers)The Journal of Immunology (3 papers)Bioanalysis (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
David J. Shuster
29 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Immunology and Allergy 318
- Immunology 749
- Cancer Research 206
- Toxicology 39
- Oncology 297
Countries citing papers authored by David J. Shuster
This map shows the geographic impact of David J. Shuster'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 David J. Shuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Shuster more than expected).
Fields of papers citing papers by David J. Shuster
This network shows the impact of papers produced by David J. Shuster. 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 David J. Shuster. The network helps show where David J. Shuster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Shuster, 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 | 2022 | 4 | |
| 2 | 2020 | 8 | |
| 3 | 2015 | 11 | |
| 4 | 2014 | 12 | |
| 5 | 2013 | 28 | |
| 6 | 2011 | 9 | |
| 7 | 2010 | 30 | |
| 8 | 2008 | 25 | |
| 9 | 2007 | 5 | |
| 10 | Assessment of tissue biomarkers following anti-CD137 treatment in the EMT-6 mouse tumor model. | 2006 | 2 |
| 11 | 2006 | 64 | |
| 12 | 2006 | 31 | |
| 13 | 2004 | 20 | |
| 14 | 2004 | 22 | |
| 15 | 2003 | 185 | |
| 16 | 2002 | 28 | |
| 17 | 1997 | 286 | |
| 18 | 1996 | 152 | |
| 19 | 1995 | 26 | |
| 20 | 1994 | 318 |
About David J. Shuster
David J. Shuster is a scholar working on Immunology and Allergy, Immunology, Oncology, Pharmacology and Cancer Research, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Immune Cell Function and Interaction (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Melanoma and MAPK Pathways (4 papers), Estrogen and related hormone effects (4 papers), Cell Adhesion Molecules Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology and Allergy (318 citations), Immunology (749 citations), Cancer Research (206 citations), Toxicology (39 citations) and Oncology (297 citations). David J. Shuster has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kim W. McIntyre, Mark Labow, Kathleen M. Gillooly, Emily B. Cullinan, R Chizzonite, Tamás Bartfai, Maria Zetterström, Carmen C. Solórzano, Lyle L. Moldawer and Priscila Rezeck Nunes. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The Journal of Immunology, Bioanalysis and Journal of Pharmacology and Experimental Therapeutics.
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.