Stephen Chiang

22 papers receiving 848 citations

Peers

Stephen Chiang
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
Replace Jerrold B. Teitcher with:
Jerrold B. Teitcher United States
Laura Lavinia Travaini Italy
Cristina Gámez‐Cenzano Spain
Philipp M. Paprottka Germany
Colleen M. Costelloe United States
Lucia Rampin Italy
Ayşe Mavi United States
Alexander Matthies Germany
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Citations per year

Countries citing papers authored by Stephen Chiang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Stephen Chiang Line = papers co-authored together Stephen Chiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008249
2
Is 18F-FDG PET more accurate than standard diagnostic procedures in the detection of suspected recurrent melanoma?
200496
3 200691
4 201263
5 200358
6 200352
7 200745
8 200743
9 202033
10 200533
11 200326
12 201122
13 200420
14 20149
15 20089
16 20116
17 20125
18 20214
19 20174
20 20083

About Stephen Chiang

Stephen Chiang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Radiation and Pathology and Forensic Medicine, 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), Medical Imaging and Pathology Studies (2 papers) and Advanced X-ray and CT Imaging (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, Milton V. Marshall, 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.

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