Jonathan Law
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
Papers in
-
- Prostate Cancer Diagnosis and Treatment 3
- Prostate Cancer Treatment and Research 1
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- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Howard M. Sandler (1 shared paper)Menggang Yu (1 shared paper)Jeremy M. G. Taylor (1 shared paper)Reza Shirazi (2 shared papers)Donald B. Fuller (2 shared papers)James C. Wurzer (2 shared papers)G Mardirossian (2 shared papers)Tami Crabtree (1 shared paper)
- Journals
- Practical Radiation Oncology (1 paper)Journal of Neuroscience (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)American Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jonathan Law
5 papers receiving 329 citations
Peers
Comparison fields: 5 of 60
- Statistics and Probability 76
- Cognitive Neuroscience 101
- Pulmonary and Respiratory Medicine 118
- Radiation 31
- Cellular and Molecular Neuroscience 38
Countries citing papers authored by Jonathan Law
This map shows the geographic impact of Jonathan Law'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 Jonathan Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Law more than expected).
Fields of papers citing papers by Jonathan Law
This network shows the impact of papers produced by Jonathan Law. 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 Jonathan Law. The network helps show where Jonathan Law may publish in the future.
Co-authors
The 11 scholars most cited alongside Jonathan Law, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | JOINT LONGITUDINAL-SURVIVAL-CURE MODELS AND THEIR APPLICATION TO PROSTATE CANCER | 2004 | 103 |
| 3 | 2019 | 58 | |
| 4 | 2015 | 46 | |
| 5 | 1997 | 13 |
About Jonathan Law
Jonathan Law is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Psychiatry and Mental health and Hepatology, having authored 5 papers that have together received 333 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (1 paper), Epilepsy research and treatment (1 paper), Memory and Neural Mechanisms (1 paper), Statistical Methods and Bayesian Inference (1 paper), Statistical Methods and Inference (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Statistics and Probability (76 citations), Cognitive Neuroscience (101 citations), Pulmonary and Respiratory Medicine (118 citations), Radiation (31 citations) and Cellular and Molecular Neuroscience (38 citations). Jonathan Law has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Howard M. Sandler, Menggang Yu, Jeremy M. G. Taylor, Reza Shirazi, Donald B. Fuller, James C. Wurzer, G Mardirossian, Tami Crabtree, David Gallardo and Simone Elias. Their work appears in journals such as Practical Radiation Oncology, Journal of Neuroscience, International Journal of Radiation Oncology*Biology*Physics and American 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.