Brian H. Kushner
- Neurology top 0.1%
- Molecular Biology top 5%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 1%
- Co-authors
- Nai‐Kong V. CheungKim KramerShakeel ModakMichael P. LaQuagliaIrene Y. CheungWilliam L. GeraldGlenn HellerSteven M. Larson
- Topics
- Neuroblastoma Research and Treatments (165 papers)Cancer therapeutics and mechanisms (53 papers)Cancer, Hypoxia, and Metabolism (49 papers)
- Cited by
- NeurologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- United StatesSpainCanada
In The Last Decade
Brian H. Kushner
180 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 117
- Neurology 4.3k
- Molecular Biology 2.3k
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 1.7k
- Cancer Research 1.3k
Countries citing papers authored by Brian H. Kushner
This map shows the geographic impact of Brian H. Kushner'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 Brian H. Kushner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian H. Kushner more than expected).
Fields of papers citing papers by Brian H. Kushner
This network shows the impact of papers produced by Brian H. Kushner. 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 Brian H. Kushner. The network helps show where Brian H. Kushner may publish in the future.
Co-authorship network of co-authors of Brian H. Kushner
This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Kushner. A scholar is included among the top collaborators of Brian H. Kushner 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 Brian H. Kushner. Brian H. Kushner 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 70 | |
| 10 | 28 | |
| 11 | 25 | |
| 12 | 9 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 15 | |
| 16 | 63 | |
| 17 | Advanced sensing, modelling, and control of materials processing | 11 |
| 18 | 131I-3F8: clinical validation of imaging studies and therapeutic applications. | 3 |
| 19 | 18 | |
| 20 | 16 |
About Brian H. Kushner
Brian H. Kushner is a scholar working on Neurology, Cancer Research and Genetics, having authored 186 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (165 papers), Cancer therapeutics and mechanisms (53 papers) and Cancer, Hypoxia, and Metabolism (49 papers). The work is most often cited by research in Neurology (4.3k citations), Cancer Research (1.3k citations) and Oncology (1.8k citations). Brian H. Kushner has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Nai‐Kong V. Cheung, Kim Kramer, Shakeel Modak, Michael P. LaQuaglia, Irene Y. Cheung, William L. Gerald, Glenn Heller, Steven M. Larson, Suzanne L. Wolden and Paul A. Meyers. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.