Barbara S. Slusher
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Oncology top 1%
- Co-authors
- Camilo RojasAjit G. ThomasTakashi TsukamotoRana RaisJesse AltKrystyna M. WozniakBrent R. StockwellPavel Majer
- Topics
- Neuropeptides and Animal Physiology (56 papers)Neuroscience and Neuropharmacology Research (51 papers)Peptidase Inhibition and Analysis (33 papers)
- Partner nations
- United StatesCzechiaJapan
In The Last Decade
Barbara S. Slusher
307 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 7.2k
- Cancer Research 3.5k
- Pulmonary and Respiratory Medicine 2.7k
- Cellular and Molecular Neuroscience 2.7k
- Oncology 2.4k
Countries citing papers authored by Barbara S. Slusher
This map shows the geographic impact of Barbara S. Slusher'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 Barbara S. Slusher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara S. Slusher more than expected).
Fields of papers citing papers by Barbara S. Slusher
This network shows the impact of papers produced by Barbara S. Slusher. 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 Barbara S. Slusher. The network helps show where Barbara S. Slusher may publish in the future.
Co-authorship network of co-authors of Barbara S. Slusher
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara S. Slusher. A scholar is included among the top collaborators of Barbara S. Slusher 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 Barbara S. Slusher. Barbara S. Slusher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 136 | |
| 12 | Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasionbreakdown → | 813 |
| 13 | 16 | |
| 14 | 23 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | Emerging treatments in chemotherapy-induced nausea and vomiting. | 20 |
| 18 | 75 | |
| 19 | 410 | |
| 20 | Electroencephalogram analysis and neuroprotective profile of the N-acetylated-alpha-linked acidic dipeptidase inhibitor, GPI5232, in normal and brain-injured rats. | 39 |
About Barbara S. Slusher
Barbara S. Slusher is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Virology, having authored 316 papers that have together received 15.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (56 papers), Neuroscience and Neuropharmacology Research (51 papers) and Peptidase Inhibition and Analysis (33 papers). The work is most often cited by research in Cancer Research (3.5k citations), Virology (978 citations) and Biological Psychiatry (403 citations). Barbara S. Slusher has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Camilo Rojas, Ajit G. Thomas, Takashi Tsukamoto, Rana Rais, Jesse Alt, Krystyna M. Wozniak, Brent R. Stockwell, Pavel Majer, Miki Hayano and Eric D. Lee. Their work appears in journals such as Science, 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.