Tonsok Kim

4.6k citations
109 papers · 3.7k · h-index 37

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications

Papers in

Tonsok Kim

108 papers receiving 3.6k citations

Peers

Tonsok Kim
Comparison fields: 5 of 92
  • Hepatology 1.6k
  • Radiology, Nuclear Medicine and Imaging 777
  • Epidemiology 732
  • Obstetrics and Gynecology 128
  • Surgery 581
Replace Satoshi Goshima with:
Satoshi Goshima Japan
Bohyun Kim South Korea
Ryusaku Yamada Japan
Sylvain Terraz Switzerland
Matteo Renzulli Italy
Yoji Maetani Japan
Rheun‐Chuan Lee Taiwan
Marta Burrel Spain
Severin Gloor Switzerland
Irene Bargellini Italy
Tonsok Kim relative to Satoshi Goshima Japan Satoshi Goshima's profile →
Citations per field
00.5×1.5×2.0×
Satoshi Goshima · 1×
Citations per year

Countries citing papers authored by Tonsok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tonsok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001244
2 2010218
3 2010204
4 1995169
5 2001119
6 2001114
7 2005107
8 200293
9 199790
10 200680
11 200270
12 200768
13 201166
14 200665
15 200263
16 200361
17 199561
18 200059
19 201558
20 201053

About Tonsok Kim

Tonsok Kim is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 109 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (44 papers), MRI in cancer diagnosis (15 papers), Advanced MRI Techniques and Applications (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Renal and Vascular Pathologies (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Liver Disease and Transplantation (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Hepatology (1.6k citations), Radiology, Nuclear Medicine and Imaging (777 citations), Epidemiology (732 citations), Obstetrics and Gynecology (128 citations) and Surgery (581 citations). Tonsok Kim has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takamichi Murakami, Masatoshi Hori, Hironobu Nakamura, Hiromitsu Onishi, Manabu Takamura, Kaname Tomoda, Michael P. Federle, Keigo Osuga, Atsushi Nakamoto and Mitsuaki Tatsumi. Their work appears in journals such as Journal of Computer Assisted Tomography, Journal of Magnetic Resonance Imaging, American Journal of Roentgenology, Radiology and Investigative 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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