Hee Sung Kim

1.6k citations
63 papers · 1.1k indexed · h-index 19

Hee Sung Kim

58 papers receiving 1.1k citations

Peers

Hee Sung Kim
Comparison fields: 5 of 96
  • Oncology 421
  • Pathology and Forensic Medicine 275
  • Cancer Research 146
  • Pulmonary and Respiratory Medicine 250
  • Endocrinology, Diabetes and Metabolism 125
Replace Monica Leutner with:
Monica Leutner Italy
Gregory F. Sterrett Australia
Julián Sanz‐Ortega Spain
Ole P. Børmer Norway
Junichiro Watanabe Japan
Kasmintan A. Schrader Canada
Irshad Soomro United Kingdom
Maesha Deheragoda United Kingdom
Fabio Conforti Italy
Eirini Pectasides Greece
Hee Sung Kim relative to Monica Leutner Italy Monica Leutner's profile →
Citations per field
00.5×2.7×
Monica Leutner · 1×
Citations per year

Countries citing papers authored by Hee Sung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee Sung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202111
3 20215
4 20216
5 20217
6
Clinical significance of PI3K/Akt/mTOR signaling in gastric carcinoma.
20208
7 20202
8 201930
9 201916
10 20197
11
Financial Conditions: Do the Ups and Downs Affect the Rest of the Economy?
20171
12 201751
13 201425
14 201425
15
An Inflammatory Pseudotumor of the Stomach
20130
16 201330
17 2003164
18 200136
19 200124
20 200018

About Hee Sung Kim

Hee Sung Kim is a scholar working on Pathology and Forensic Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Genetic factors in colorectal cancer (9 papers), Viral-associated cancers and disorders (7 papers), Gastric Cancer Management and Outcomes (7 papers), Gastrointestinal disorders and treatments (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer Diagnosis and Treatment (4 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Oncology (421 citations), Pathology and Forensic Medicine (275 citations) and Cancer Research (146 citations). Hee Sung Kim has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Woo Ho Kim, Hye Seung Lee, Han‐Kwang Yang, Hyeon Kook Lee, Yong Il Kim, Byung Lan Lee, Mee Soo Chang, Won–Ho Kim, Gyeong Hoon Kang and Kyung Ho Kang. Their work appears in journals such as Cancer Research and Treatment, Human Pathology, The Journal of Pathology, World Journal of Surgical Oncology and Food Control.

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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