Patricia Kensel-Hammes
- Cellular and Molecular Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 2%
- Cell Biology top 5%
- Co-authors
- Sandra BajjaliehNathalie LambengBerkley A. LynchKarl NockaAlain MatagneB. B. FuksRichard G. GardnerJia Yao
- Topics
- Lipid Membrane Structure and Behavior (6 papers)Cellular transport and secretion (6 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Cited by
- Psychiatry and Mental healthCellular and Molecular NeurosciencePediatrics, Perinatology and Child Health
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Patricia Kensel-Hammes
8 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 896
- Psychiatry and Mental health 801
- Molecular Biology 576
- Pediatrics, Perinatology and Child Health 521
- Cell Biology 327
Countries citing papers authored by Patricia Kensel-Hammes
This map shows the geographic impact of Patricia Kensel-Hammes'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 Patricia Kensel-Hammes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Kensel-Hammes more than expected).
Fields of papers citing papers by Patricia Kensel-Hammes
This network shows the impact of papers produced by Patricia Kensel-Hammes. 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 Patricia Kensel-Hammes. The network helps show where Patricia Kensel-Hammes may publish in the future.
Co-authorship network of co-authors of Patricia Kensel-Hammes
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Kensel-Hammes. A scholar is included among the top collaborators of Patricia Kensel-Hammes 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 Patricia Kensel-Hammes. Patricia Kensel-Hammes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 147 | |
| 3 | 25 | |
| 4 | 127 | |
| 5 | 49 | |
| 6 | 46 | |
| 7 | 72 | |
| 8 | The synaptic vesicle protein SV2A is the binding site for the antiepileptic drug levetiracetambreakdown → | 1112 |
About Patricia Kensel-Hammes
Patricia Kensel-Hammes is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Psychiatry and Mental health (801 citations), Cellular and Molecular Neuroscience (896 citations) and Pediatrics, Perinatology and Child Health (521 citations). Patricia Kensel-Hammes has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Sandra Bajjalieh, Nathalie Lambeng, Berkley A. Lynch, Karl Nocka, Alain Matagne, B. B. Fuks, Richard G. Gardner, Jia Yao, Amy Nowack and Daniel T. Chiu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.