Kevin J. Tracey
- Molecular Biology top 0.05%
- Immunology top 0.01%
- Neurology top 0.01%
- Clinical Biochemistry top 0.01%
- Epidemiology top 0.05%
- Co-authors
- Anthony CeramiHaichao WangJan AnderssonValentin A. PavlovChristopher J. CzuraMichael T. LotzeMahendar OchaniSangeeta S. Chavan
- Topics
- Advanced Glycation End Products research (148 papers)Vagus Nerve Stimulation Research (147 papers)Immune Response and Inflammation (109 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Kevin J. Tracey
491 papers receiving 78.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 25.7k
- Immunology 23.2k
- Neurology 20.8k
- Clinical Biochemistry 17.1k
- Epidemiology 10.2k
Countries citing papers authored by Kevin J. Tracey
This map shows the geographic impact of Kevin J. Tracey'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 Kevin J. Tracey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin J. Tracey more than expected).
Fields of papers citing papers by Kevin J. Tracey
This network shows the impact of papers produced by Kevin J. Tracey. 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 Kevin J. Tracey. The network helps show where Kevin J. Tracey may publish in the future.
Co-authorship network of co-authors of Kevin J. Tracey
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Tracey. A scholar is included among the top collaborators of Kevin J. Tracey 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 Kevin J. Tracey. Kevin J. Tracey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 60 | |
| 7 | 105 | |
| 8 | 8 | |
| 9 | 152 | |
| 10 | 66 | |
| 11 | 26 | |
| 12 | 140 | |
| 13 | 298 | |
| 14 | 208 | |
| 15 | 179 | |
| 16 | Mutually exclusive redox forms of HMGB1 promote cell recruitment or proinflammatory cytokine releasebreakdown → | 561 |
| 17 | Splenectomy inactivates the cholinergic antiinflammatory pathway during lethal endotoxemia and polymicrobial sepsisbreakdown → | 536 |
| 18 | 252 | |
| 19 | Tumor necrosis factor is a brain damaging cytokine in cerebral ischemia. | 138 |
| 20 | Small molecule inhibition of tumor necrosis factor gene processing during acute pancreatitis prevents cytokine cascade progression and attenuates pancreatitis severity. | 36 |
About Kevin J. Tracey
Kevin J. Tracey is a scholar working on Clinical Biochemistry, Neurology and Immunology, having authored 501 papers that have together received 79.9k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (148 papers), Vagus Nerve Stimulation Research (147 papers) and Immune Response and Inflammation (109 papers). The work is most often cited by research in Neurology (20.8k citations), Clinical Biochemistry (17.1k citations) and Immunology (23.2k citations). Kevin J. Tracey has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Anthony Cerami, Haichao Wang, Jan Andersson, Valentin A. Pavlov, Christopher J. Czura, Michael T. Lotze, Mahendar Ochani, Sangeeta S. Chavan, Huan Yang and Mauricio Rosas‐Ballina. 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.