Suck Joon Hong

6.2k citations
124 papers · 4.8k indexed · h-index 41

Suck Joon Hong

121 papers receiving 4.6k citations

Peers

Suck Joon Hong
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 4.4k
  • Surgery 2.8k
  • Anatomy 76
  • Radiology, Nuclear Medicine and Imaging 561
  • Oncology 518
Replace Ki‐Wook Chung with:
Ki‐Wook Chung South Korea
Frank L. Palmer United States
Mitsuji Nagahama Japan
Kepal N. Patel United States
C S Grant United States
Fabián Pitoia Argentina
William M. McConahey United States
Valeria Ramundo Italy
Massimo Salvatori Italy
E. Kresnik Austria
Suck Joon Hong relative to Ki‐Wook Chung South Korea Ki‐Wook Chung's profile →
Citations per field
00.5×1.5×2.4×
Ki‐Wook Chung · 1×
Citations per year

Countries citing papers authored by Suck Joon Hong

Since Specialization
Citations

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

Fields of papers citing papers by Suck Joon Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suck Joon Hong. 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 Suck Joon Hong. The network helps show where Suck Joon Hong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20214
2 201822
3 201773
4 201743
5 201511
6 201592
7 201535
8 201526
9 201417
10 201367
11 201393
12 201345
13 201347
14 201224
15 201253
16 201187
17
Preoperative Cytological Diagnosis of Follicular Thyroid Carcinoma and Hüthle Cell Carcinoma
20102
18 2008164
19
Prognostic Factors Correlated with Cancer Specific Survival and Disease-free Survival of Papillary Thyroid Carcinoma in Korea
20081
20
Serum Thyroglobulin Levels Predicting Recurrence and Distant Metastasis after Surgery in Patients with Differentiated Thyroid Cancer.
20032

About Suck Joon Hong

Suck Joon Hong is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Anatomy, having authored 124 papers that have together received 4.8k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (104 papers), Thyroid and Parathyroid Surgery (51 papers), Head and Neck Anomalies (31 papers), Pituitary Gland Disorders and Treatments (18 papers), Thyroid Disorders and Treatments (16 papers), Adrenal and Paraganglionic Tumors (14 papers), Neuroendocrine Tumor Research Advances (9 papers) and Hormonal Regulation and Hypertension (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.4k citations), Surgery (2.8k citations) and Anatomy (76 citations). Suck Joon Hong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Young Kee Shong, Won Bae Kim, Tae Yong Kim, Gyungyub Gong, Won Gu Kim, Dong Eun Song, Jong Ho Yoon, Tae‐Yon Sung, Jin‐Sook Ryu and Min Ji Jeon. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026