Jinna Kim

6.7k citations
164 papers · 4.9k indexed · 1 hit paper · h-index 34

Impact in

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

Jinna Kim

161 papers receiving 4.8k citations

Hit Papers

Benign and Malignant Thyroid Nodules: US Differentiation—Multicenter Retrospective Study 2008 · 813 citations
8132008202620142020250500750

Peers

Jinna Kim
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
Replace Chul‐Ho Sohn with:
Chul‐Ho Sohn South Korea
Takashi Yoshiura Japan
Marcos Tatagiba Germany
Girish Fatterpekar United States
Luca Regli Switzerland
Stephen S. Gebarski United States
Yukunori Korogi Japan
Hyung‐Jin Kim South Korea
Michael E. Sughrue United States
Ronald Borra Netherlands
Jinna Kim relative to Chul‐Ho Sohn South Korea Chul‐Ho Sohn's profile →
Citations per field
00.5×3.2×
Chul‐Ho Sohn · 1×
Citations per year

Countries citing papers authored by Jinna Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jinna Kim Line = papers co-authored together Jinna Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202311
4 20236
5 20231
6 20237
7 20221
8 20224
9 202126
10 201856
11 20185
12 20179
13 20176
14 20177
15 20141
16 201232
17 201134
18 200712
19 200520
20 2005126

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.

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