Tae‐Hoon Kim

697 citations
45 papers · 507 indexed · h-index 12
Topics
Liver Disease Diagnosis and Treatment (15 papers)Hepatocellular Carcinoma Treatment and Prognosis (7 papers)Advanced MRI Techniques and Applications (6 papers)

In The Last Decade

Tae‐Hoon Kim

40 papers receiving 494 citations

Peers

Tae‐Hoon Kim
Comparison fields: 5 of 94
  • Insect Science 105
  • Epidemiology 101
  • Radiology, Nuclear Medicine and Imaging 82
  • Molecular Biology 79
  • Surgery 65
Replace Rosaria Spinella with:
Rosaria Spinella Italy
Hye-Sook Chang Japan
Vivek Bhatia United States
Jin Ku Kang South Korea
Hyojin Chae South Korea
R Ceballos United States
Chen Jiang China
P. Sánchez France
Sandra S. Snook United States
Tae‐Hoon Kim relative to Rosaria Spinella Italy Rosaria Spinella's profile →
Citations per field
00.5×9.5×
Rosaria Spinella · 1×
Citations per year

Countries citing papers authored by Tae‐Hoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Hoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae‐Hoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Hoon Kim. A scholar is included among the top collaborators of Tae‐Hoon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae‐Hoon Kim. Tae‐Hoon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 1
6 8
7 3
8 3
9 121
10 7
11 15
12 9
13 7
14
Hepatoprotective Effect of Bacillus subtilis-fermented Silkworm (Bombyx mori L.) Extract on Non-alcoholic Fatty Liver in Rats
0
15 11
16 8
17 12
18 67
19
Comparison of Magnetic Resonance Imaging with Computed Tomography in Subarachnoid Hemorrhage
1
20 49

About Tae‐Hoon Kim

Tae‐Hoon Kim is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 45 papers that have together received 507 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Insect Science (105 citations), Hepatology (65 citations) and Gastroenterology (31 citations). Tae‐Hoon Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Hong‐Gu Lee, Kyung-Woo Lee, Yoo-Bhin Kim, Da‐Hye Kim, Kwon‐Ha Yoon, Chang‐Won Jeong, Young Hwan Lee, Hong Young Jun, Ji Eon Kim and Rekha Iyengar. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes Care.

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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