Jinna Kim
Impact in
- Otorhinolaryngology top 1%
-
- Thyroid Cancer Diagnosis and Treatment
Papers in
-
- Head and Neck Cancer Studies 17
-
- Radiomics and Machine Learning in Medical Imaging 23
- Advanced Neuroimaging Techniques and Applications 20
- Medical Imaging Techniques and Applications 12
- Advanced MRI Techniques and Applications 12
- MRI in cancer diagnosis 10
- Co-authors
- Seung‐Koo LeeDong Joon KimSo Lyung JungDong Gyu NaYoung Hen LeeJung Hwan BaekWon‐Jin MoonJeong Hyun Lee
- Journals
- Korean Journal of Radiology (10 papers)American Journal of Neuroradiology (8 papers)American Journal of Roentgenology (7 papers)European Radiology (6 papers)Neuroradiology (6 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Jinna Kim
161 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Otorhinolaryngology 412
- Endocrinology, Diabetes and Metabolism 1.3k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Neurology 633
- Surgery 1.5k
Countries citing papers authored by Jinna Kim
This map shows the geographic impact of Jinna 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 Jinna Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinna Kim more than expected).
Fields of papers citing papers by Jinna Kim
This network shows the impact of papers produced by Jinna 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 Jinna Kim. The network helps show where Jinna Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinna Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 26 | |
| 10 | 2018 | 56 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 9 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 7 | |
| 15 | 2014 | 1 | |
| 16 | 2012 | 32 | |
| 17 | 2011 | 34 | |
| 18 | 2007 | 12 | |
| 19 | 2005 | 20 | |
| 20 | 2005 | 126 |
About Jinna Kim
Jinna Kim is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Neurology, Sensory Systems and Genetics, having authored 164 papers that have together received 4.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Head and Neck Cancer Studies (17 papers), Head and Neck Surgical Oncology (14 papers), Glioma Diagnosis and Treatment (12 papers), Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (12 papers) and MRI in cancer diagnosis (10 papers). The work is most often cited by research in Otorhinolaryngology (412 citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Neurology (633 citations) and Surgery (1.5k citations). Jinna Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Seung‐Koo Lee, Dong Joon Kim, So Lyung Jung, Dong Gyu Na, Young Hen Lee, Jung Hwan Baek, Won‐Jin Moon, Jeong Hyun Lee, Hyun Sook Kim and Jun Soo Byun. Their work appears in journals such as Korean Journal of Radiology, American Journal of Neuroradiology, American Journal of Roentgenology, European Radiology and Neuroradiology.
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.