M Chan

48 papers receiving 721 citations

Peers

M Chan
Comparison fields: 5 of 59
  • Radiation 286
  • Hepatology 136
  • Behavioral Neuroscience 28
  • Pulmonary and Respiratory Medicine 241
  • Radiology, Nuclear Medicine and Imaging 141
Replace Chitti R. Moorthy with:
Chitti R. Moorthy United States
Jeffrey G. Brabham United States
Pierre‐Olivier Kotzki France
Zhenyin Liu China
Noorazrul Yahya Malaysia
Fumi Sakamoto Japan
Colin Field Canada
Gaik‐Cheng Ooi Hong Kong
Kichiro Koshida Japan
R. Di Mauro Italy
M Chan relative to Chitti R. Moorthy United States Chitti R. Moorthy's profile →
Citations per field
00.5×8.5×
Chitti R. Moorthy · 1×
Citations per year

Countries citing papers authored by M Chan

Since Specialization
Citations

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

Fields of papers citing papers by M Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200695
2 201452
3
Selective internal radiation therapy with intra-arterial iodine-131-Lipiodol in inoperable hepatocellular carcinoma.
199451
4 201333
5 201832
6 201531
7 201628
8 199727
9 201726
10 201626
11 201624
12 201822
13 202021
14 201820
15 201218
16 201418
17 201317
18 201817
19 201817
20 201816

About M Chan

M Chan is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology and Oncology, having authored 53 papers that have together received 729 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (28 papers), Radiation Therapy and Dosimetry (11 papers), Medical Imaging Techniques and Applications (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Radiation Dose and Imaging (5 papers), Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Radiation (286 citations), Hepatology (136 citations), Behavioral Neuroscience (28 citations), Pulmonary and Respiratory Medicine (241 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). M Chan has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Oliver Blanck, Dora L.�W. Kwong, Sherry C.Y. Ng, Eric K. W. Tam, Chi‐Leung Chiang, Dwayne K. Hamson, Carmen Chow, Jürgen Dunst, Dirk Rades and Stephanie E. Lieblich. Their work appears in journals such as Strahlentherapie und Onkologie, Medical Physics, Journal of Applied Clinical Medical Physics, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

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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