Ka Hee Yi

3.1k citations
81 papers · 2.1k · h-index 26

Impact in

Papers in

    • Thyroid Cancer Diagnosis and Treatment 56
    • Thyroid Disorders and Treatments 19
    • Growth Hormone and Insulin-like Growth Factors 6
    • Thyroid and Parathyroid Surgery 23
    • Head and Neck Anomalies 14

Ka Hee Yi

78 papers receiving 2.1k citations

Peers

Ka Hee Yi
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Health Informatics 33
  • Surgery 782
  • Anatomy 18
  • Radiology, Nuclear Medicine and Imaging 271
Replace Jennifer A. Sipos with:
Jennifer A. Sipos United States
Hiroo Masuoka Japan
Jandee Lee South Korea
Steven P. Hodak United States
Barney Harrison United Kingdom
Wataru Kitagawa Japan
Livia Lamartina France
Barbra S. Miller United States
Insoo Suh United States
Christophe Trésallet France
Ka Hee Yi relative to Jennifer A. Sipos United States Jennifer A. Sipos's profile →
Citations per field
00.5×1.5×2.3×
Jennifer A. Sipos · 1×
Citations per year

Countries citing papers authored by Ka Hee Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ka Hee Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013158
2 2016144
3 201691
4 201386
5 201385
6 201785
7 201778
8 200773
9 201973
10 201369
11 201962
12 201662
13 201358
14 201353
15 201053
16 201646
17 200946
18 201544
19 201442
20 201540

About Ka Hee Yi

Ka Hee Yi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Oncology and Pathology and Forensic Medicine, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (56 papers), Thyroid and Parathyroid Surgery (23 papers), Thyroid Disorders and Treatments (19 papers), Head and Neck Anomalies (14 papers), BRCA gene mutations in cancer (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Health Informatics (33 citations), Surgery (782 citations), Anatomy (18 citations) and Radiology, Nuclear Medicine and Imaging (271 citations). Ka Hee Yi has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Young Joo Park, Do Joon Park, Jae Hoon Moon, Sun Wook Cho, Hoon Choi, Kyu Eun Lee, Jung‐Ah Lim, Bo Youn Cho, Hwa Young Ahn and Young Jun Chai. Their work appears in journals such as Diabetes & Metabolism Journal, Thyroid, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and European Journal of Endocrinology.

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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