Samuel Chang

1.7k citations
60 papers · 1.3k · h-index 21

Impact in

Papers in

Samuel Chang

58 papers receiving 1.3k citations

Peers

Samuel Chang
Comparison fields: 5 of 110
  • Health Informatics 67
  • Hepatology 240
  • Radiation 135
  • Radiology, Nuclear Medicine and Imaging 352
  • Oncology 241
Replace Cher Heng Tan with:
Cher Heng Tan Singapore
Diletta Cozzi Italy
Roberto Grassi Italy
Gorka Bastarrika Spain
Éric Delabrousse France
Rowland Illing United Kingdom
Dylan Hunt United States
Hye Jeon Hwang South Korea
Andrea Agostini Italy
James D. Murphy United States
Samuel Chang relative to Cher Heng Tan Singapore Cher Heng Tan's profile →
Citations per field
00.5×2.6×
Cher Heng Tan · 1×
Citations per year

Countries citing papers authored by Samuel Chang

Since Specialization
Citations

This map shows the geographic impact of Samuel Chang'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 Samuel Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Chang more than expected).

Fields of papers citing papers by Samuel Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Chang. 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 Samuel Chang. The network helps show where Samuel Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel Chang, 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 Samuel Chang Line = papers co-authored together Samuel Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005160
2 200966
3 202366
4 200666
5 200764
6 201563
7 200660
8 200959
9 200559
10 200838
11 200731
12 201531
13 201329
14 200427
15 201524
16 199924
17 200424
18 201922
19 201522
20 200822

About Samuel Chang

Samuel Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Luminescence Properties of Advanced Materials (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Radiation Detection and Scintillator Technologies (5 papers), Radiation Dose and Imaging (4 papers), MRI in cancer diagnosis (4 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Health Informatics (67 citations), Hepatology (240 citations), Radiation (135 citations), Radiology, Nuclear Medicine and Imaging (352 citations) and Oncology (241 citations). Samuel Chang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seong‐Jang Kim, K.S. Chung, H.S. Choe, Won Jae Lee, Phillip J. Koo, Dongil Choi, Kyongtae T. Bae, Jae Hoon Lim, Kyoungjune Pak and Jennifer Kwak. Their work appears in journals such as Radiation Protection Dosimetry, American Journal of Roentgenology, Archives of Metallurgy and Materials, Korean Journal of Radiology and British Journal of Radiology.

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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