Matt Devalaraja
Impact in
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
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- Ubiquitin and proteasome pathways 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Ann Richmond (1 shared paper)Dean W. Ballard (1 shared paper)Larry Lo (2 shared papers)Thi-Sau Migone (1 shared paper)G. Mani Subramanian (2 shared papers)John Zhong (1 shared paper)Sally D. Bolmer (1 shared paper)Andrew Chen (1 shared paper)
- Journals
- Circulation (1 paper)Journal of Neuroimmune Pharmacology (1 paper)The Journal of Clinical Pharmacology (1 paper)New England Journal of Medicine (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Matt Devalaraja
6 papers receiving 385 citations
Peers
Comparison fields: 5 of 68
- Immunology 126
- Biotechnology 46
- Oncology 93
- Virology 14
- Molecular Biology 202
Countries citing papers authored by Matt Devalaraja
This map shows the geographic impact of Matt Devalaraja'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 Matt Devalaraja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Devalaraja more than expected).
Fields of papers citing papers by Matt Devalaraja
This network shows the impact of papers produced by Matt Devalaraja. 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 Matt Devalaraja. The network helps show where Matt Devalaraja may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Devalaraja, 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 | 2009 | 207 | |
| 2 | Elevated constitutive IkappaB kinase activity and IkappaB-alpha phosphorylation in Hs294T melanoma cells lead to increased basal MGSA/GRO-alpha transcription. | 1999 | 78 |
| 3 | 1999 | 71 | |
| 4 | 2012 | 35 | |
| 5 | 2011 | 5 | |
| 6 | Abstract 13727: Effects of Ziltivekimab (ZILTI), a Novel Anti-Interleukin-6 Monoclonal Antibody, on Markers of Inflammation and Cardiovascular Risk in Patients With Chronic Kidney Disease on Hemodialysis | 2019 | 3 |
About Matt Devalaraja
Matt Devalaraja is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 6 papers that have together received 399 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Cell Adhesion Molecules Research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper), NF-κB Signaling Pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Multiple Sclerosis Research Studies (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (126 citations), Biotechnology (46 citations), Oncology (93 citations), Virology (14 citations) and Molecular Biology (202 citations). Matt Devalaraja has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Ann Richmond, Dean W. Ballard, Larry Lo, Thi-Sau Migone, G. Mani Subramanian, John Zhong, Sally D. Bolmer, Andrew Chen, Gabriel Meister and Daniel Sanford. Their work appears in journals such as Circulation, Journal of Neuroimmune Pharmacology, The Journal of Clinical Pharmacology, New England Journal of Medicine and Trends in Pharmacological Sciences.
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.