Ho Sung Kim

8.4k citations
233 papers · 5.8k indexed · h-index 42
Topics
Glioma Diagnosis and Treatment (96 papers)MRI in cancer diagnosis (66 papers)Radiomics and Machine Learning in Medical Imaging (61 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeurology

In The Last Decade

Ho Sung Kim

218 papers receiving 5.7k citations

Peers

Ho Sung Kim
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 3.7k
  • Genetics 2.1k
  • Pulmonary and Respiratory Medicine 1.1k
  • Neurology 848
  • Epidemiology 757
Replace Sung Soo Ahn with:
Sung Soo Ahn South Korea
Sotirios Bisdas Germany
Ji‐hoon Kim South Korea
Rajan Jain United States
Philipp Kickingereder Germany
Wenya Linda Bi United States
David Bonekamp Germany
Chong Hyun Suh South Korea
Ian F. Dunn United States
Randall A. Hawkins United States
Ho Sung Kim relative to Sung Soo Ahn South Korea Sung Soo Ahn's profile →
Citations per field
00.5×2.6×
Sung Soo Ahn · 1×
Citations per year

Countries citing papers authored by Ho Sung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ho Sung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ho Sung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Sung Kim. A scholar is included among the top collaborators of Ho Sung 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 Ho Sung Kim. Ho Sung 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 1
3 10
4 10
5 11
6 1
7 18
8 2
9 15
10 20
11 48
12 20
13 11
14 28
15 8
16 26
17 89
18 33
19
Clinical Characteristics of Williams Syndrome
0
20
Transcatheter Coil Closure of a Congenital Coronary Arterial Fistula
0

About Ho Sung Kim

Ho Sung Kim is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 233 papers that have together received 5.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (96 papers), MRI in cancer diagnosis (66 papers) and Radiomics and Machine Learning in Medical Imaging (61 papers). The work is most often cited by research in Genetics (2.1k citations), Radiology, Nuclear Medicine and Imaging (3.7k citations) and Health Informatics (122 citations). Ho Sung Kim has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Ji Eun Park, Sang Joon Kim, Choong Gon Choi, Seo Young Park, Chong Hyun Suh, Seung Chai Jung, Namkug Kim, Jeong Hoon Kim, Woo Hyun Shim and Jung Youn Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

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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