Dae Sik Yang

1.1k total citations
85 papers, 806 citations indexed

About

Dae Sik Yang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Dae Sik Yang has authored 85 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 26 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Radiation. Recurrent topics in Dae Sik Yang's work include Advanced Radiotherapy Techniques (23 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Breast Cancer Treatment Studies (10 papers). Dae Sik Yang is often cited by papers focused on Advanced Radiotherapy Techniques (23 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Breast Cancer Treatment Studies (10 papers). Dae Sik Yang collaborates with scholars based in South Korea, China and Japan. Dae Sik Yang's co-authors include Chul Yong Kim, Chai Hong Rim, Won Sup Yoon, Won Sup Yoon, Grant Bunker, Ok Hee Woo, Jae Hong Seo, Sang Uk Woo, Tae Hyun Kim and Suk Lee and has published in prestigious journals such as Physical review. B, Condensed matter, Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Dae Sik Yang

83 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Sik Yang South Korea 16 204 201 190 168 155 85 806
Oreste Bagni Italy 15 193 0.9× 163 0.8× 283 1.5× 212 1.3× 123 0.8× 63 832
Hsing‐Lung Chao Taiwan 17 200 1.0× 291 1.4× 283 1.5× 281 1.7× 142 0.9× 36 764
Kazutaka Yamamoto Japan 16 172 0.8× 262 1.3× 312 1.6× 226 1.3× 112 0.7× 58 1.1k
David Chee Eng Ng Singapore 15 175 0.9× 157 0.8× 221 1.2× 230 1.4× 69 0.4× 50 794
Chai Hong Rim South Korea 18 290 1.4× 367 1.8× 370 1.9× 595 3.5× 226 1.5× 96 1.2k
C.F. Hess Germany 17 417 2.0× 449 2.2× 361 1.9× 96 0.6× 114 0.7× 50 1.2k
Masaru Wakatsuki Japan 19 225 1.1× 393 2.0× 438 2.3× 41 0.2× 286 1.8× 93 1.2k
Carla Hajj United States 18 551 2.7× 294 1.5× 295 1.6× 47 0.3× 156 1.0× 85 916
Amir H. Khandani United States 18 215 1.1× 82 0.4× 377 2.0× 91 0.5× 61 0.4× 59 759
Emmanuel Deshayes France 20 300 1.5× 230 1.1× 353 1.9× 300 1.8× 141 0.9× 75 1.2k

Countries citing papers authored by Dae Sik Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dae Sik Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Sik Yang. 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 Dae Sik Yang. The network helps show where Dae Sik Yang may publish in the future.

Co-authorship network of co-authors of Dae Sik Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Sik Yang. A scholar is included among the top collaborators of Dae Sik Yang 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 Dae Sik Yang. Dae Sik Yang 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.
Rehman, Rana Zia Ur, Nikolay V. Manyakov, Alan P. Jackson, et al.. (2024). Assessment of Physiological Signals from Photoplethysmography Sensors Compared to an Electrocardiogram Sensor: A Validation Study in Daily Life. Sensors. 24(21). 6826–6826. 6 indexed citations
4.
Ahn, Sung‐Ja, Jin Hee Kim, Mison Chun, et al.. (2020). Physical activity status in relation to quality of life and dietary habits in breast cancer survivors: subset analyses of KROG 14-09 nationwide questionnaire study. Quality of Life Research. 29(12). 3353–3361. 1 indexed citations
5.
Rim, Chai Hong, Chul Yong Kim, Dae Sik Yang, & Won Sup Yoon. (2019). Clinical Significance of Gender and Body Mass Index in Asian Patients with Colorectal Cancer. Journal of Cancer. 10(3). 682–688. 7 indexed citations
6.
Yoon, Won Sup, Chai Hong Rim, Dae Sik Yang, et al.. (2019). Long-term outcomes of immediate autologous breast reconstruction after definite adjuvant therapy in intermediate and locally advanced breast cancer. Annals of Translational Medicine. 7(23). 743–743. 4 indexed citations
7.
Rim, Chai Hong, Chul Yong Kim, Dae Sik Yang, & Won Sup Yoon. (2018). The role of external beam radiotherapy for hepatocellular carcinoma patients with lymph node metastasis: a meta-analysis of observational studies. Cancer Management and Research. Volume 10. 3305–3315. 11 indexed citations
8.
Rim, Chai Hong, et al.. (2018). Factors predicting intolerance to definitive conventional radiotherapy in geriatric patients. Strahlentherapie und Onkologie. 194(10). 894–903. 12 indexed citations
9.
Woo, Sang Uk, Hoon Yub Kim, Gil Soo Son, et al.. (2018). The expression of insulin receptor substrate 1 and estrogen receptor as prognostic factor on breast cancer patient. Journal of Cancer Research and Therapeutics. 14(Suppl 2). S494–S498. 6 indexed citations
10.
Cho, Won Kyung, Doo Ho Choi, Jieun Lee, et al.. (2018). Comparison of failure patterns between tubular breast carcinoma and invasive ductal carcinoma (KROG 14–25). The Breast. 38. 165–170. 4 indexed citations
11.
Rim, Chai Hong, Sung‐Ja Ahn, Jin Hee Kim, et al.. (2017). An assessment of quality of life for early phase after adjuvant radiotherapy in breast cancer survivors: a Korean multicenter survey (KROG 14–09). Health and Quality of Life Outcomes. 15(1). 96–96. 17 indexed citations
12.
Min, Kyung‐Jin, et al.. (2014). Primary malignant melanoma of uterine cervix: a suggestion of new scheme of treatment combination.. Europe PMC (PubMed Central). 11 indexed citations
13.
Kang, Eun Joo, Ok Hee Woo, Kyong Hwa Park, et al.. (2013). YKL-40 expression could be a poor prognostic marker in the breast cancer tissue. Tumor Biology. 35(1). 277–286. 18 indexed citations
14.
Woo, Sang Uk, Kyong Hwa Park, Ok Hee Woo, et al.. (2010). Association of a TGF-β1 gene −509 C/T polymorphism with breast cancer risk: a meta-analysis. Breast Cancer Research and Treatment. 124(2). 481–485. 12 indexed citations
15.
Yang, Dae Sik, Hwa Jung Sung, Ok Hee Woo, et al.. (2009). Association of a progesterone receptor gene +331 G/A polymorphism with breast cancer risk: a meta-analysis. Cancer Genetics and Cytogenetics. 196(2). 194–197. 6 indexed citations
16.
Lee, Jae-Bok, Ok Hee Woo, Kyong Hwa Park, et al.. (2009). Bevacizumab for salvage treatment of metastatic breast cancer: a systemic review and meta-analysis of randomized controlled trials. Investigational New Drugs. 29(1). 182–188. 19 indexed citations
17.
Yang, Dae Sik, et al.. (2007). The Evaluation of Radiation Therapy and Combined-modality Therapy for Non-small-cell Lung Cancer in Elderly.. 25(2). 101–108. 1 indexed citations
18.
Yang, Dae Sik, et al.. (2007). The Palliative Effect of Endobronchial Brachytherapy for Previously Irradiated Patients with Lung Cancer.. 25(3). 177–184. 1 indexed citations
19.
Wc, Kim, et al.. (2005). Postoperative Radiotherapy in the Rectal Cancers Patterns of Care Study for the Years of 1998~1999.. 23(1). 22–31. 2 indexed citations
20.
Yang, Dae Sik, et al.. (2005). Literature Analysis of Radiotherapy in Uterine Cervix Cancer for the Processing of the Patterns of Care Study in Korea.. 23(2). 61–70.

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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