Samuel Tung

762 citations
17 papers · 538 indexed · h-index 13

Impact in

Papers in

Samuel Tung

17 papers receiving 519 citations

Peers

Samuel Tung
Comparison fields: 5 of 65
  • Radiation 315
  • Otorhinolaryngology 63
  • Radiology, Nuclear Medicine and Imaging 175
  • Pulmonary and Respiratory Medicine 240
  • Genetics 72
Replace Michael G. McKenna with:
Michael G. McKenna United States
Min Kyu Kang South Korea
Jinhyun Choi South Korea
S. Zefkili France
H.J. Feldmann Germany
Parham Alaei United States
Laura Marucci Italy
Maria Grazia Ruo Redda Italy
Amy Liu United States
Julian R. Perks United States
Samuel Tung relative to Michael G. McKenna United States Michael G. McKenna's profile →
Citations per field
00.5×6.5×
Michael G. McKenna · 1×
Citations per year

Countries citing papers authored by Samuel Tung

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202120
2 20205
3 201916
4 201630
5 20157
6 201436
7 201044
8 200946
9 199816
10 199737
11 199793
12 199638
13 199411
14 199417
15 19943
16 199354
17 199265

About Samuel Tung

Samuel Tung is a scholar working on Radiation, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Genetics and Food Science, having authored 17 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Medical Imaging Techniques and Applications (6 papers), Head and Neck Cancer Studies (5 papers), Radiation Effects and Dosimetry (3 papers), Radiation Therapy and Dosimetry (3 papers), Head and Neck Surgical Oncology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Salivary Gland Disorders and Functions (1 paper). The work is most often cited by research in Radiation (315 citations), Otorhinolaryngology (63 citations), Radiology, Nuclear Medicine and Imaging (175 citations), Pulmonary and Respiratory Medicine (240 citations) and Genetics (72 citations). Samuel Tung has collaborated with scholars based in United States. Frequent co-authors include Almon S. Shiu, Kenneth R. Hogstrom, William H. Morrison, Moshe Maor, Lei Dong, Hanne M. Kooy, George Starkschall, E.J. Shpall, Simon N. Robinson and Marcos de Lima. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Head & Neck, Journal of Applied Clinical Medical Physics and Practical Radiation Oncology.

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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