Sang-Hoon Cha

1.9k citations
89 papers · 1.4k · h-index 21

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Sang-Hoon Cha

87 papers receiving 1.3k citations

Peers

Sang-Hoon Cha
Comparison fields: 5 of 103
  • Hepatology 167
  • Neurology 127
  • Radiology, Nuclear Medicine and Imaging 246
  • Genetics 86
  • Immunology 148
Replace Ruth Wang with:
Ruth Wang United States
Ian D. Milton United Kingdom
Jun Igarashi Japan
Luca Marchetti Italy
Ling Xie China
Peter Jung Germany
Richard McIndoe United States
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Sang-Hoon Cha relative to Ruth Wang United States Ruth Wang's profile →
Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Sang-Hoon Cha

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Hoon Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Hoon Cha. 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 Sang-Hoon Cha. The network helps show where Sang-Hoon Cha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic contrast-enhanced T2-weighted MR imaging of recurrent malignant gliomas treated with thalidomide and carboplatin.
200098
2 199585
3 200278
4 200169
5 200668
6 201164
7 200361
8 200142
9 199540
10 199434
11 202130
12 199429
13
Discrimination of native bee-honey and foreign bee-honey by SDS-PAGE
199828
14 199927
15 202126
16 199626
17 201325
18 199524
19 200924
20 202024

About Sang-Hoon Cha

Sang-Hoon Cha is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Neurology, Epidemiology and Immunology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Glycosylation and Glycoproteins Research (7 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Liver Diseases and Immunity (6 papers), Protein purification and stability (6 papers), Acute Ischemic Stroke Management (6 papers), Vascular Malformations Diagnosis and Treatment (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (167 citations), Neurology (127 citations), Radiology, Nuclear Medicine and Imaging (246 citations), Genetics (86 citations) and Immunology (148 citations). Sang-Hoon Cha has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Kyoungho Suk, Jaehyuk Huh, Myung‐Shik Lee, Seung Young Lee, Ross L. Coppel, Jinyoung Hur, Hocheol Kim, Sun Yeou Kim, Eric M. Gershwin and Aftab A. Ansari. Their work appears in journals such as Immunology Letters, Korean Journal of Radiology, Hepatology, Journal of Computer Assisted Tomography and Molecules and Cells.

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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