Chang-Ki Hong

970 citations
30 papers · 580 indexed · h-index 15
  • Genetics top 5%
    • Glioma Diagnosis and Treatment 5
  • Epidemiology top 10%
    • Meningioma and schwannoma management 24
  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases 14
  • Surgery top 10%
    • Head and Neck Surgical Oncology 17
    • Spinal Fractures and Fixation Techniques 3
  • Rheumatology top 10%
    • Bone Tumor Diagnosis and Treatments 5
    • Brain Metastases and Treatment 4
    • Sarcoma Diagnosis and Treatment 2

Chang-Ki Hong

29 papers receiving 577 citations

Peers

Chang-Ki Hong
Comparison fields: 5 of 45
  • Genetics 167
  • Epidemiology 358
  • Neurology 148
  • Surgery 303
  • Rheumatology 88
Replace Hun Ho Park with:
Hun Ho Park South Korea
Sacit Bulent Omay United States
Hasan A. Zaidi United States
Hirotaka Hasegawa Japan
Yasuo Sasagawa Japan
Abhay Sanan United States
Shunya Hanakita Japan
Mineko Murakami Japan
Paulo A. S. Kadri United States
Nelson Moussazadeh United States
Chang-Ki Hong relative to Hun Ho Park South Korea Hun Ho Park's profile →
Citations per field
00.5×1.5×
Hun Ho Park · 1×
Citations per year

Countries citing papers authored by Chang-Ki Hong

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Ki Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Ki Hong. 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 Chang-Ki Hong. The network helps show where Chang-Ki Hong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20223
4 20221
5 202112
6 202139
7 20218
8 202125
9 20216
10 202029
11 202030
12 201911
13 20186
14 201715
15 201741
16 201628
17 201614
18 201620
19 20154
20 201515

About Chang-Ki Hong

Chang-Ki Hong is a scholar working on Neurology, Epidemiology, Genetics, Surgery and Rheumatology, having authored 30 papers that have together received 580 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (24 papers), Head and Neck Surgical Oncology (17 papers), Neurofibromatosis and Schwannoma Cases (14 papers), Glioma Diagnosis and Treatment (5 papers), Bone Tumor Diagnosis and Treatments (5 papers), Brain Metastases and Treatment (4 papers), Spinal Fractures and Fixation Techniques (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (167 citations), Epidemiology (358 citations), Neurology (148 citations), Surgery (303 citations) and Rheumatology (88 citations). Chang-Ki Hong has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Hun Ho Park, Doo‐Sik Kong, In Sik Yun, Yong Hwy Kim, Kyu‐Sung Lee, Jihwan Yoo, Jong Hee Chang, Tae Hoon Roh, Eui Hyun Kim and Se Hoon Kim. Their work appears in journals such as Journal of neurosurgery, World Neurosurgery, Scientific Reports, Neurosurgical Review and Acta Neurochirurgica.

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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