Kwame Hoyte
- Molecular Biology top 10%
- Physiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 2%
- Biomaterials top 5%
- Co-authors
- Yanmei LuWilman LukRyan J. WattsJasvinder K. AtwalMark S. DennisPaul T. MartinSaileta PrabhuJ. Michael Elliott
- Topics
- Muscle Physiology and Disorders (6 papers)Glycosylation and Glycoproteins Research (4 papers)Alzheimer's disease research and treatments (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNeuronBiochemical and Biophysical Research Communications
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Kwame Hoyte
15 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.0k
- Physiology 466
- Radiology, Nuclear Medicine and Imaging 459
- Neurology 393
- Biomaterials 273
Countries citing papers authored by Kwame Hoyte
This map shows the geographic impact of Kwame Hoyte'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 Kwame Hoyte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwame Hoyte more than expected).
Fields of papers citing papers by Kwame Hoyte
This network shows the impact of papers produced by Kwame Hoyte. 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 Kwame Hoyte. The network helps show where Kwame Hoyte may publish in the future.
Co-authorship network of co-authors of Kwame Hoyte
This figure shows the co-authorship network connecting the top 25 collaborators of Kwame Hoyte. A scholar is included among the top collaborators of Kwame Hoyte 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 Kwame Hoyte. Kwame Hoyte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 6 | |
| 3 | 150 | |
| 4 | 197 | |
| 5 | 278 | |
| 6 | A Therapeutic Antibody Targeting Bace1 Inhibits Amyloid-beta Production in Vivo | 45 |
| 7 | 66 | |
| 8 | Boosting Brain Uptake of a Therapeutic Antibody by Reducing Its Affinity for a Transcytosis Targetbreakdown → | 586 |
| 9 | 214 | |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 49 | |
| 13 | 66 | |
| 14 | 39 | |
| 15 | 116 |
About Kwame Hoyte
Kwame Hoyte is a scholar working on Geriatrics and Gerontology, Physiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Neurology (393 citations), Biomaterials (273 citations) and Radiology, Nuclear Medicine and Imaging (459 citations). Kwame Hoyte has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Yanmei Lu, Wilman Luk, Ryan J. Watts, Jasvinder K. Atwal, Mark S. Dennis, Paul T. Martin, Saileta Prabhu, J. Michael Elliott, Yin Zhang and Margaret Kenrick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Biochemical and Biophysical Research Communications.
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.