Tracy K. McIntosh
- Neurology top 0.01%
- Epidemiology top 0.05%
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Emergency Medicine top 0.05%
- Co-authors
- Douglas H. SmithRamesh RaghupathiKathryn E. SaatmanJohn Q. TrojanowskiRobert VinkIwao YamakamiDavid I. GrahamLinda J. Noble‐Haeusslein
- Topics
- Traumatic Brain Injury and Neurovascular Disturbances (199 papers)Traumatic Brain Injury Research (107 papers)S100 Proteins and Annexins (65 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Tracy K. McIntosh
320 papers receiving 23.1k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Neurology 14.4k
- Epidemiology 8.7k
- Molecular Biology 8.1k
- Cellular and Molecular Neuroscience 4.2k
- Emergency Medicine 3.4k
Countries citing papers authored by Tracy K. McIntosh
This map shows the geographic impact of Tracy K. McIntosh'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 Tracy K. McIntosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy K. McIntosh more than expected).
Fields of papers citing papers by Tracy K. McIntosh
This network shows the impact of papers produced by Tracy K. McIntosh. 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 Tracy K. McIntosh. The network helps show where Tracy K. McIntosh may publish in the future.
Co-authorship network of co-authors of Tracy K. McIntosh
This figure shows the co-authorship network connecting the top 25 collaborators of Tracy K. McIntosh. A scholar is included among the top collaborators of Tracy K. McIntosh 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 Tracy K. McIntosh. Tracy K. McIntosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 24 | |
| 6 | 19 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | No evidence for the presence of apolipoprotein epsilon4, interleukin-lalpha allele 2 and interleukin-1beta allele 2 cause an increase in programmed cell death following traumatic brain injury in humans. | 7 |
| 11 | 187 | |
| 12 | Apolipoprotein E4 influences amyloid deposition but not cell loss after traumatic brain injury in a mouse model of Alzheimer's disease | 1 |
| 13 | 90 | |
| 14 | 55 | |
| 15 | 3 | |
| 16 | 173 | |
| 17 | 368 | |
| 18 | 67 | |
| 19 | 24 | |
| 20 | 56 |
About Tracy K. McIntosh
Tracy K. McIntosh is a scholar working on Neurology, Developmental Neuroscience and Epidemiology, having authored 329 papers that have together received 23.7k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (199 papers), Traumatic Brain Injury Research (107 papers) and S100 Proteins and Annexins (65 papers). The work is most often cited by research in Neurology (14.4k citations), Developmental Neuroscience (3.2k citations) and Emergency Medicine (3.4k citations). Tracy K. McIntosh has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Douglas H. Smith, Ramesh Raghupathi, Kathryn E. Saatman, John Q. Trojanowski, Robert Vink, Iwao Yamakami, David I. Graham, Linda J. Noble‐Haeusslein, Alan I. Faden and David F. Meaney. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.