Tracy L. Young‐Pearse
- Molecular Biology top 2%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 2%
- Cancer Research top 5%
- Neurology top 1%
- Co-authors
- Constance L. CepkoDennis J. SelkoeTomoki MatsudaPriya SrikanthChristina MuratoreRui B. ChangDominic M. WalshDana G. Callahan
- Topics
- Alzheimer's disease research and treatments (39 papers)Neuroinflammation and Neurodegeneration Mechanisms (16 papers)Neuroscience and Neuropharmacology Research (10 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tracy L. Young‐Pearse
73 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.8k
- Physiology 1.5k
- Cellular and Molecular Neuroscience 1.0k
- Cancer Research 588
- Neurology 550
Countries citing papers authored by Tracy L. Young‐Pearse
This map shows the geographic impact of Tracy L. Young‐Pearse'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 L. Young‐Pearse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy L. Young‐Pearse more than expected).
Fields of papers citing papers by Tracy L. Young‐Pearse
This network shows the impact of papers produced by Tracy L. Young‐Pearse. 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 L. Young‐Pearse. The network helps show where Tracy L. Young‐Pearse may publish in the future.
Co-authorship network of co-authors of Tracy L. Young‐Pearse
This figure shows the co-authorship network connecting the top 25 collaborators of Tracy L. Young‐Pearse. A scholar is included among the top collaborators of Tracy L. Young‐Pearse 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 L. Young‐Pearse. Tracy L. Young‐Pearse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 31 | |
| 7 | 7 | |
| 8 | 38 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 23 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 73 | |
| 15 | 261 | |
| 16 | 57 | |
| 17 | 32 | |
| 18 | 82 | |
| 19 | 15 | |
| 20 | 117 |
About Tracy L. Young‐Pearse
Tracy L. Young‐Pearse is a scholar working on Neurology, Developmental Neuroscience and Physiology, having authored 82 papers that have together received 4.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (39 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Developmental Neuroscience (364 citations), Neurology (550 citations) and Cellular and Molecular Neuroscience (1.0k citations). Tracy L. Young‐Pearse has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Constance L. Cepko, Dennis J. Selkoe, Tomoki Matsuda, Priya Srikanth, Christina Muratore, Rui B. Chang, Dominic M. Walsh, Dana G. Callahan, Heather C. Rice and Jilin Bai. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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.