J. Wang
Impact in
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
- Neural dynamics and brain function
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- Genetics and Neurodevelopmental Disorders
Papers in
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- Medical Imaging and Analysis 3
- Advanced Sensor and Energy Harvesting Materials 2
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- Radiomics and Machine Learning in Medical Imaging 4
- Medical Imaging Techniques and Applications 2
- Co-authors
- Matthew W. Mosconi (1 shared paper)Matthew Byerly (1 shared paper)Stormi P. White (1 shared paper)Lauren E. Ethridge (1 shared paper)John A. Sweeney (1 shared paper)Dale Newland (1 shared paper)Helen H. Hobbs (1 shared paper)Vincent Mooser (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (9 papers)Nano Energy (1 paper)Annals of Human Genetics (1 paper)Biochemical Society Transactions (1 paper)Human Immunology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
J. Wang
17 papers receiving 320 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 104
- Genetics 105
- Cancer Research 35
- Health Informatics 3
- Immunology 44
Countries citing papers authored by J. Wang
This map shows the geographic impact of J. Wang'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 J. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wang more than expected).
Fields of papers citing papers by J. Wang
This network shows the impact of papers produced by J. Wang. 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 J. Wang. The network helps show where J. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Wang, 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 | 2016 | 135 | |
| 2 | 1998 | 119 | |
| 3 | 2011 | 28 | |
| 4 | 1999 | 9 | |
| 5 | 1999 | 7 | |
| 6 | 1997 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About J. Wang
J. Wang is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Otorhinolaryngology and Radiation, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Advanced Radiotherapy Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging and Analysis (3 papers), Medical Imaging Techniques and Applications (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Bioinformatics and Genomic Networks (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Cognitive Neuroscience (104 citations), Genetics (105 citations), Cancer Research (35 citations), Health Informatics (3 citations) and Immunology (44 citations). J. Wang has collaborated with scholars based in United States and China. Frequent co-authors include Matthew W. Mosconi, Matthew Byerly, Stormi P. White, Lauren E. Ethridge, John A. Sweeney, Dale Newland, Helen H. Hobbs, Vincent Mooser, Santica M. Marcovina and David A. Sanan. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Nano Energy, Annals of Human Genetics, Biochemical Society Transactions and Human Immunology.
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.