In–Ho Cha
Impact in
- Oral Surgery top 0.5%
- Dental Radiography and Imaging
- Oral and Maxillofacial Pathology
- Otorhinolaryngology top 1%
- Head and Neck Cancer Studies
Papers in
- Co-authors
- Hyung Jun Kim (57 shared papers)Woong Nam (62 shared papers)Dong Wook Kim (16 shared papers)Ki‐Yeol Kim (20 shared papers)Jin Kim (16 shared papers)Sanghoon Lee (3 shared papers)Jong In Yook (14 shared papers)Jin‐Woo Kim (5 shared papers)
- Journals
- International Journal of Oral and Maxillofacial Surgery (9 papers)Head & Neck (8 papers)Oral Oncology (5 papers)Journal of Oral and Maxillofacial Surgery (4 papers)Oral Diseases (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
In–Ho Cha
159 papers receiving 3.2k citations
In–Ho Cha's Hit Papers
Peers
Comparison fields: 5 of 143
- Oral Surgery 521
- Otorhinolaryngology 315
- Health Informatics 51
- Periodontics 139
- Emergency Medical Services 156
Countries citing papers authored by In–Ho Cha
This map shows the geographic impact of In–Ho 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 In–Ho Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In–Ho Cha more than expected).
Fields of papers citing papers by In–Ho Cha
This network shows the impact of papers produced by In–Ho 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 In–Ho Cha. The network helps show where In–Ho Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside In–Ho Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-based survival prediction of oral cancer patients Hit paper breakdown → | 2019 | 225 |
| 2 | 2009 | 148 | |
| 3 | 2002 | 147 | |
| 4 | 2020 | 131 | |
| 5 | 2006 | 119 | |
| 6 | 2005 | 116 | |
| 7 | 2002 | 87 | |
| 8 | 2012 | 75 | |
| 9 | 2014 | 63 | |
| 10 | 2007 | 63 | |
| 11 | 2018 | 63 | |
| 12 | 2007 | 60 | |
| 13 | 2009 | 57 | |
| 14 | 2001 | 49 | |
| 15 | 2008 | 48 | |
| 16 | 2011 | 45 | |
| 17 | 2014 | 42 | |
| 18 | 2013 | 41 | |
| 19 | 2004 | 41 | |
| 20 | 1997 | 41 |
About In–Ho Cha
In–Ho Cha is a scholar working on Surgery, Oncology, Oral Surgery, Otorhinolaryngology and Molecular Biology, having authored 180 papers that have together received 3.3k indexed citations. Recurring topics across this work include Oral and Maxillofacial Pathology (21 papers), Head and Neck Cancer Studies (19 papers), Reconstructive Surgery and Microvascular Techniques (15 papers), Bone health and treatments (15 papers), Head and Neck Surgical Oncology (8 papers), Facial Trauma and Fracture Management (6 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers) and Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Oral Surgery (521 citations), Otorhinolaryngology (315 citations), Health Informatics (51 citations), Periodontics (139 citations) and Emergency Medical Services (156 citations). In–Ho Cha has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyung Jun Kim, Woong Nam, Dong Wook Kim, Ki‐Yeol Kim, Jin Kim, Sanghoon Lee, Jong In Yook, Jin‐Woo Kim, Jeong‐Dan Cha and Shengjin Li. Their work appears in journals such as International Journal of Oral and Maxillofacial Surgery, Head & Neck, Oral Oncology, Journal of Oral and Maxillofacial Surgery and Oral Diseases.
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.