Stephen Chiang
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- Renal cell carcinoma treatment 5
- Brain Metastases and Treatment 3
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- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 2
- Oncology top 10%
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- Cancer Genomics and Diagnostics 3
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 4
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- Advanced Radiotherapy Techniques 5
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- Glioma Diagnosis and Treatment 2
Stephen Chiang
22 papers receiving 848 citations
Peers
Comparison fields: 5 of 78
- Pulmonary and Respiratory Medicine 374
- Radiology, Nuclear Medicine and Imaging 261
- Oncology 295
- Cancer Research 136
- Pathology and Forensic Medicine 121
Countries citing papers authored by Stephen Chiang
This map shows the geographic impact of Stephen Chiang'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 Stephen Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chiang more than expected).
Fields of papers citing papers by Stephen Chiang
This network shows the impact of papers produced by Stephen Chiang. 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 Stephen Chiang. The network helps show where Stephen Chiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Chiang, 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 | 2021 | 4 | |
| 2 | 2020 | 33 | |
| 3 | 2017 | 4 | |
| 4 | 2015 | 1 | |
| 5 | 2014 | 9 | |
| 6 | Overcoming the challenges of characterizing normal urodynamic parameters in middle-aged and older women. | 2014 | 2 |
| 7 | 2012 | 63 | |
| 8 | 2012 | 5 | |
| 9 | 2011 | 22 | |
| 10 | 2011 | 6 | |
| 11 | 2008 | 249 | |
| 12 | 2008 | 9 | |
| 13 | 2008 | 3 | |
| 14 | 2007 | 45 | |
| 15 | 2007 | 43 | |
| 16 | 2005 | 33 | |
| 17 | 2004 | 20 | |
| 18 | 2003 | 26 | |
| 19 | 2003 | 52 | |
| 20 | 2003 | 58 |
About Stephen Chiang
Stephen Chiang is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 22 papers that have together received 874 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Renal cell carcinoma treatment (5 papers), Advanced Radiotherapy Techniques (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Brain Metastases and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (374 citations), Radiology, Nuclear Medicine and Imaging (261 citations), Oncology (295 citations), Cancer Research (136 citations) and Pathology and Forensic Medicine (121 citations). Stephen Chiang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Hongming Zhuang, Abass Alavi, R. J. Amato, Bin S. Teh, David Fuster, Liang Guan, Arnold C. Paulino, Ronald E. Fisher, Elizabeth Bonefas and Eva M. Sevick‐Muraca. Their work appears in journals such as Journal of Clinical Oncology, Nuclear Medicine Communications, Clinical Breast Cancer, Technology in Cancer Research & Treatment and Clinical Genitourinary Cancer.
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.