Tae Hee Kim

2.1k citations
94 papers · 1.5k indexed · h-index 21

Tae Hee Kim

89 papers receiving 1.5k citations

Peers

Tae Hee Kim
Comparison fields: 5 of 130
  • Radiology, Nuclear Medicine and Imaging 457
  • Cancer Research 373
  • Pathology and Forensic Medicine 345
  • Oncology 234
  • Surgery 221
Replace Erika Martinelli with:
Erika Martinelli Italy
Bernard Roullet France
Thomas E. Goffman United States
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Paul Smith United Kingdom
Gladys Rodriguez United States
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Tae Hee Kim relative to Erika Martinelli Italy Erika Martinelli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tae Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Hee 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 Tae Hee Kim. The network helps show where Tae Hee Kim may publish in the future.

Co-authorship network of co-authors of Tae Hee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Hee Kim. A scholar is included among the top collaborators of Tae Hee Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae Hee Kim. Tae Hee Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 4
4
A novel five-gene score to predict complete pathological response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer.
10
5 6
6 19
7 21
8 4
9 23
10 13
11 20
12 53
13
A Study on the Correlation between College Students' Draw-a-Story Test and their Psychological Well-being
1
14 18
15 1
16 8
17
Focal eosinophilic infiltration versus metastasis in the liver: comparison of MRI findings.
3
18 4
19 44
20
A new scoring system for differentiation between benign and malignant ovarian masses
1

About Tae Hee Kim

Tae Hee Kim is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 94 papers that have together received 1.5k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (23 papers), Breast Cancer Treatment Studies (19 papers) and Breast Lesions and Carcinomas (17 papers). The work is most often cited by research in Cancer Research (373 citations), Radiology, Nuclear Medicine and Imaging (457 citations) and Pathology and Forensic Medicine (345 citations). Tae Hee Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Doo Kyoung Kang, Yong Sik Jung, Young‐Sil An, Ku Sang Kim, Kyoungtae Kim, Yong Jae Ko, Hyunee Yim, Cathryn L. Claussen, Seok Yun Kang and Sanghee Kim. Their work appears in journals such as Macromolecules, Scientific Reports and International Journal of Molecular Sciences.

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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