Han Sung Kang

2.5k citations
52 papers · 1.7k indexed · 1 hit paper · h-index 22
Topics
Breast Cancer Treatment Studies (9 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)Cancer Treatment and Pharmacology (4 papers)

In The Last Decade

Han Sung Kang

51 papers receiving 1.6k citations

Hit Papers

Serial Quantitative Chest CT Assessment of COVID-19: A De...2020202620222024202050100150200250

Peers

Han Sung Kang
Comparison fields: 5 of 147
  • Oncology 700
  • Molecular Biology 392
  • Radiology, Nuclear Medicine and Imaging 354
  • Cancer Research 313
  • Pulmonary and Respiratory Medicine 220
Replace Judith Abrams with:
Judith Abrams United States
Fang Wu China
Philippe Coucke Switzerland
Ying Xu China
Tufia C. Haddad United States
Igor Tsaur Germany
Liesbeth Peters-Bax Netherlands
Sheila A. Prindiville United States
Peter J. Boström Finland
Masaaki Kawai Japan
Han Sung Kang relative to Judith Abrams United States Judith Abrams's profile →
Citations per field
00.5×1.7×
Judith Abrams · 1×
Citations per year

Countries citing papers authored by Han Sung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Han Sung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Sung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Sung Kang. A scholar is included among the top collaborators of Han Sung Kang 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 Han Sung Kang. Han Sung Kang 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 3
2 5
3 20
4 6
5 5
6 12
7 9
8 37
9 55
10
MicroRNA signature for HER2-positive breast and gastric cancer.
16
11 14
12 9
13 63
14 66
15 27
16 13
17 61
18 67
19 57
20
Expression of phospholipase C-gamma 1 and its transcriptional regulators in breast cancer tissues.
18

About Han Sung Kang

Han Sung Kang is a scholar working on Oncology, Cancer Research and Internal Medicine, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Health Informatics (51 citations), Oncology (700 citations) and Cancer Research (313 citations). Han Sung Kang has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jungsil Ro, Keun Seok Lee, Sungpil Yoon, Eun Sook Lee, Liming Xia, Lu Huang, Rui Han, Tao Ai, Qian Tao and Pengxin Yu. Their work appears in journals such as Journal of Clinical Oncology, Annals of Surgery and Biochemical and Biophysical Research Communications.

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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