Matthew S. Hayden
- Immunology top 0.1%
- Molecular Biology top 0.5%
- Cancer Research top 0.05%
- Oncology top 1%
- Epidemiology top 1%
- Co-authors
- Sankar GhoshRebecca G. BakerAndrea OeckinghausA. Phillip WestRichard A. FlavellSung‐Gyoo ParkDekai ZhangMatthew B. Greenblatt
- Topics
- NF-κB Signaling Pathways (28 papers)Immune Response and Inflammation (23 papers)Immune Cell Function and Interaction (10 papers)
- Cited by
- Cancer ResearchImmunologyVirology
- Partner nations
- United StatesJapanGermany
In The Last Decade
Matthew S. Hayden
54 papers receiving 21.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Immunology 9.4k
- Molecular Biology 8.5k
- Cancer Research 6.9k
- Oncology 2.6k
- Epidemiology 2.5k
Countries citing papers authored by Matthew S. Hayden
This map shows the geographic impact of Matthew S. Hayden'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 Matthew S. Hayden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Hayden more than expected).
Fields of papers citing papers by Matthew S. Hayden
This network shows the impact of papers produced by Matthew S. Hayden. 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 Matthew S. Hayden. The network helps show where Matthew S. Hayden may publish in the future.
Co-authorship network of co-authors of Matthew S. Hayden
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Hayden. A scholar is included among the top collaborators of Matthew S. Hayden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew S. Hayden. Matthew S. Hayden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 74 | |
| 7 | 66 | |
| 8 | 166 | |
| 9 | 46 | |
| 10 | 19 | |
| 11 | 247 | |
| 12 | NF-κB, Inflammation, and Metabolic Diseasebreakdown → | 1593 |
| 13 | Crosstalk in NF-κB signaling pathwaysbreakdown → | 1549 |
| 14 | NF-κB in immunobiologybreakdown → | 843 |
| 15 | 143 | |
| 16 | Shared Principles in NF-κB Signalingbreakdown → | 3918 |
| 17 | 119 | |
| 18 | 65 | |
| 19 | NF-κB and the immune responsebreakdown → | 972 |
| 20 | TLR11 Activation of Dendritic Cells by a Protozoan Profilin-Like Proteinbreakdown → | 772 |
About Matthew S. Hayden
Matthew S. Hayden is a scholar working on Cancer Research, Immunology and Virology, having authored 54 papers that have together received 21.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (28 papers), Immune Response and Inflammation (23 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Cancer Research (6.9k citations), Immunology (9.4k citations) and Virology (774 citations). Matthew S. Hayden has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Sankar Ghosh, Rebecca G. Baker, Andrea Oeckinghaus, A. Phillip West, Richard A. Flavell, Sung‐Gyoo Park, Dekai Zhang, Matthew B. Greenblatt, Guolong Zhang and Meixiao Long. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.