Han Sung Kang

2.5k total citations · 1 hit paper
52 papers, 1.7k citations indexed

About

Han Sung Kang is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Han Sung Kang has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 12 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Han Sung Kang's work include Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Treatment and Pharmacology (4 papers). Han Sung Kang is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Treatment and Pharmacology (4 papers). Han Sung Kang collaborates with scholars based in South Korea, China and United States. Han Sung Kang's co-authors include Jungsil Ro, Keun Seok Lee, Sungpil Yoon, Eun Sook Lee, Lu Huang, Tao Ai, Qian Tao, Rui Han, Pengxin Yu and Liming Xia and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and Biochemical and Biophysical Research Communications.

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... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Han Sung Kang South Korea 22 700 392 354 313 220 52 1.7k
Paul R. Harnett Australia 28 880 1.3× 554 1.4× 256 0.7× 301 1.0× 275 1.3× 102 2.1k
Gregory D. Ayers United States 28 792 1.1× 961 2.5× 303 0.9× 401 1.3× 317 1.4× 55 2.7k
Khalil Zaman Switzerland 28 991 1.4× 483 1.2× 210 0.6× 476 1.5× 379 1.7× 100 2.0k
Alexander Burges Germany 35 1.3k 1.8× 809 2.1× 422 1.2× 376 1.2× 438 2.0× 171 4.1k
Aakash Desai United States 23 797 1.1× 355 0.9× 144 0.4× 186 0.6× 380 1.7× 139 1.9k
Tufia C. Haddad United States 24 788 1.1× 383 1.0× 190 0.5× 284 0.9× 279 1.3× 107 1.9k
Ritu Gupta India 25 351 0.5× 566 1.4× 175 0.5× 171 0.5× 106 0.5× 231 2.3k
Hampig Raphaël Kourié Lebanon 21 1.0k 1.5× 389 1.0× 199 0.6× 217 0.7× 424 1.9× 166 1.8k
Kamal S. Saini United States 24 1.2k 1.8× 697 1.8× 276 0.8× 485 1.5× 327 1.5× 88 2.4k
Masaaki Kawai Japan 25 1.0k 1.4× 325 0.8× 236 0.7× 546 1.7× 423 1.9× 88 2.0k

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
1.
Liu, Anqi, et al.. (2023). Development and validation of a lung graph–based machine learning model to predict acute pulmonary thromboembolism on chest noncontrast computed tomography. Quantitative Imaging in Medicine and Surgery. 13(10). 6710–6723. 3 indexed citations
2.
Liu, Min, Han Sung Kang, Peiyao Zhang, et al.. (2023). Idiopathic pulmonary fibrosis disease progression: a dynamic quantitative chest computed tomography follow-up analysis. Quantitative Imaging in Medicine and Surgery. 13(3). 1488–1498. 1 indexed citations
3.
Li, Xinchun, Fengping Wang, Chenglong Zhang, et al.. (2023). Prognostic implication of lactic dehydrogenase-to-albumin ratio in critically ill patients with acute kidney injury. Clinical and Experimental Nephrology. 27(4). 349–357. 6 indexed citations
4.
Liu, Min, Han Sung Kang, Peiyao Zhang, et al.. (2022). Quantitative analysis of high-resolution computed tomography features of idiopathic pulmonary fibrosis: a structure-function correlation study. Quantitative Imaging in Medicine and Surgery. 12(7). 3655–3665. 9 indexed citations
5.
Lee, Myung Kyung, Han Sung Kang, Keun Seok Lee, & Eun Sook Lee. (2016). Three-Year Prospective Cohort Study of Factors Associated with Return to Work After Breast Cancer Diagnosis. Journal of Occupational Rehabilitation. 27(4). 547–558. 55 indexed citations
6.
Kang, Han Sung, Sang‐Geun Jang, Sun Young Kwon, et al.. (2014). MicroRNA signature for HER2-positive breast and gastric cancer.. PubMed. 34(7). 3807–10. 16 indexed citations
7.
Lee, Eun Kyung, et al.. (2013). DNA methylation of MAPK signal-inhibiting genes in papillary thyroid carcinoma.. PubMed. 33(11). 4833–9. 24 indexed citations
8.
Lee, Hye Won, So‐Youn Jung, Youngmee Kwon, et al.. (2012). Metaplastic breast cancer: clinicopathological features and its prognosis. Journal of Clinical Pathology. 65(5). 441–446. 96 indexed citations
9.
Im, Seock‐Ah, Keun Seok Lee, Jungsil Ro, et al.. (2011). Phase II trial of preoperative paclitaxel, gemcitabine, and trastuzumab combination therapy in HER2 positive stage II/III breast cancer: The Korean Cancer Study Group BR 07-01. Breast Cancer Research and Treatment. 132(2). 589–600. 9 indexed citations
10.
Kim, Ju-Hwa, Kyungsil Yoon, Sunshin Kim, et al.. (2011). Salinomycin, a p-glycoprotein inhibitor, sensitizes radiation-treated cancer cells by increasing DNA damage and inducing G2 arrest. Investigational New Drugs. 30(4). 1311–1318. 63 indexed citations
11.
Kang, Han Sung, et al.. (2010). Salinomycin sensitizes cancer cells to the effects of doxorubicin and etoposide treatment by increasing DNA damage and reducing p21 protein. British Journal of Pharmacology. 162(3). 773–784. 115 indexed citations
12.
Kang, Han Sung, Xiuheng Wang, Nan Li, & Nanqi Ren. (2009). [Characterization of phosphate-accumulating organisms in starting-up EBPR by FISH analysis].. PubMed. 30(1). 80–4. 3 indexed citations
13.
Kim, Ju-Hwa, Tae Hyung Kim, Han Sung Kang, et al.. (2009). SP600125, an inhibitor of Jnk pathway, reduces viability of relatively resistant cancer cells to doxorubicin. Biochemical and Biophysical Research Communications. 387(3). 450–455. 27 indexed citations
14.
Lee, Keun Seok, Jungsil Ro, Eun Sook Lee, et al.. (2009). Primary systemic therapy with intermittent weekly paclitaxel plus gemcitabine in patients with stage II and III breast cancer: a phase II trial. Investigational New Drugs. 28(1). 83–90. 13 indexed citations
15.
Han, Hye‐Suk, Jungsil Ro, Keun Seok Lee, et al.. (2008). Analysis of chemotherapy-induced amenorrhea rates by three different anthracycline and taxane containing regimens for early breast cancer. Breast Cancer Research and Treatment. 115(2). 335–342. 67 indexed citations
16.
Lee, Keun Seok, Jungsil Ro, Byung‐Ho Nam, et al.. (2007). A randomized phase-III trial of docetaxel/capecitabine versus doxorubicin/cyclophosphamide as primary chemotherapy for patients with stage II/III breast cancer. Breast Cancer Research and Treatment. 109(3). 481–489. 57 indexed citations
17.
Moses, Stephen, James Blanchard, & Han Sung Kang. (2006). AIDS in South Asia. 27 indexed citations
18.
Lee, Eun Sook, et al.. (2003). Neoadjuvant Chemotherapy Decreases the Identification Rate of Sentinel Lymph Node Biopsy. 6(2). 95–95. 1 indexed citations
19.
Kang, Han Sung, Dong‐Young Noh, Yeo Kyu Youn, Seung Keun Oh, & Kuk Jin Choe. (1999). The Predictors of Axillary Node Metastasis in 2 cm or Less Breast Cancer Univariate and Multivaritate Analysis. 2(1). 7–7. 3 indexed citations
20.
Noh, Dong‐Young, Han Sung Kang, Young Cheol Kim, et al.. (1998). Expression of phospholipase C-gamma 1 and its transcriptional regulators in breast cancer tissues.. PubMed. 18(4A). 2643–8. 18 indexed citations

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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