Stephen Chiang

1.1k citations
25 papers · 936 · h-index 13

Impact in

Papers in

Stephen Chiang

25 papers receiving 900 citations

Peers

Stephen Chiang
Comparison fields: 5 of 77
  • Pulmonary and Respiratory Medicine 337
  • Oncology 272
  • Radiology, Nuclear Medicine and Imaging 202
  • Cancer Research 114
  • Pathology and Forensic Medicine 107
Replace Laura Lavinia Travaini with:
Laura Lavinia Travaini Italy
Alexander Matthies Germany
Paolo Marra Italy
Cumali Aktolun Türkiye
Jerrold B. Teitcher United States
F. Eckersberger Austria
C. Faul Germany
Colleen M. Costelloe United States
Abderrahim Zouhair Switzerland
Sheila Rege United States
Stephen Chiang relative to Laura Lavinia Travaini Italy Laura Lavinia Travaini's profile →
Citations per field
00.5×1.5×
Laura Lavinia Travaini · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2
Is 18F-FDG PET more accurate than standard diagnostic procedures in the detection of suspected recurrent melanoma?
2004100
3 200695
4 200368
5 201265
6 200355
7 200751
8 200747
9 202034
10 200533
11 201129
12 200327
13 200421
14 20149
15 20089
16 20117
17 20125
18 20175
19 20214
20 20214

About Stephen Chiang

Stephen Chiang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Oncology and Surgery, having authored 25 papers that have together received 936 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Renal cell carcinoma treatment (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (3 papers), Brain Metastases and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers), Cardiac tumors and thrombi (2 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (337 citations), Oncology (272 citations), Radiology, Nuclear Medicine and Imaging (202 citations), Cancer Research (114 citations) and Pathology and Forensic Medicine (107 citations). Stephen Chiang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Abass Alavi, Hongming Zhuang, R. J. Amato, Bin S. Teh, David Fuster, Arnold C. Paulino, Liang Guan, Hoang Q. Pham, Jessica P. Houston and Lynn M. Schuchter. Their work appears in journals such as Journal of Clinical Oncology, Nuclear Medicine Communications, Practical Radiation Oncology, Radiology and Journal for ImmunoTherapy of 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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