Yao-Lung Kuo

999 total citations
32 papers, 692 citations indexed

About

Yao-Lung Kuo is a scholar working on Cancer Research, Oncology and Surgery. According to data from OpenAlex, Yao-Lung Kuo has authored 32 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 13 papers in Oncology and 12 papers in Surgery. Recurrent topics in Yao-Lung Kuo's work include Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (10 papers) and Breast Implant and Reconstruction (8 papers). Yao-Lung Kuo is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (10 papers) and Breast Implant and Reconstruction (8 papers). Yao-Lung Kuo collaborates with scholars based in Taiwan, China and Vietnam. Yao-Lung Kuo's co-authors include Hung-Wen Lai, Dar‐Ren Chen, Shou-Tung Chen, Tsai-Wang Chang, Shou-Jen Kuo, Su‐Ying Fang, Ling‐Ming Tseng, Pei‐Jung Lu, Michael Hsiao and Luo-Ping Ger and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Yao-Lung Kuo

31 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao-Lung Kuo Taiwan 15 360 197 191 188 175 32 692
Víctor Martínez Spain 10 144 0.4× 63 0.3× 132 0.7× 186 1.0× 112 0.6× 25 528
Joel Okoli United States 12 134 0.4× 81 0.4× 77 0.4× 110 0.6× 213 1.2× 24 431
Shanna Gustafson United States 12 173 0.5× 122 0.6× 95 0.5× 109 0.6× 79 0.5× 16 636
Kaylene Ready United States 15 268 0.7× 61 0.3× 163 0.9× 112 0.6× 180 1.0× 27 705
Bert van Geel Netherlands 7 358 1.0× 100 0.5× 160 0.8× 199 1.1× 254 1.5× 7 896
Tsutomu Kouno Japan 12 108 0.3× 110 0.6× 63 0.3× 80 0.4× 241 1.4× 31 432
Alfredo Carlos Simões Dornellas de Barros Brazil 14 407 1.1× 397 2.0× 50 0.3× 319 1.7× 118 0.7× 45 757
Emilia J. Diego United States 13 431 1.2× 240 1.2× 24 0.1× 268 1.4× 344 2.0× 53 687
Daniela Terribile Italy 18 531 1.5× 469 2.4× 30 0.2× 308 1.6× 277 1.6× 77 973
Heather Jenkins Canada 9 232 0.6× 182 0.9× 168 0.9× 101 0.5× 397 2.3× 12 701

Countries citing papers authored by Yao-Lung Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yao-Lung Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao-Lung Kuo. 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 Yao-Lung Kuo. The network helps show where Yao-Lung Kuo may publish in the future.

Co-authorship network of co-authors of Yao-Lung Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Lung Kuo. A scholar is included among the top collaborators of Yao-Lung Kuo 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 Yao-Lung Kuo. Yao-Lung Kuo 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.
Kuo, Yao-Lung, et al.. (2024). Effectiveness of extended antibiotic prophylaxis in implant-based breast reconstruction surgery: A meta-analysis. Journal of Plastic Reconstructive & Aesthetic Surgery. 95. 368–376. 1 indexed citations
2.
Chen, Yaping, et al.. (2021). False-negative frozen section of sentinel nodes in early breast cancer (cT1-2N0) patients. World Journal of Surgical Oncology. 19(1). 183–183. 3 indexed citations
3.
Kuo, Yao-Lung, Chih‐Hao Chang, Hsiung‐Fei Chien, et al.. (2020). Endoscopy-Assisted Total Mastectomy with and without Immediate Reconstruction: An Extended Follow-Up, Multicenter Study. Plastic & Reconstructive Surgery. 147(2). 267–278. 11 indexed citations
4.
Hsu, Hsiu‐Yun, Ta‐Shen Kuan, Po‐Ting Wu, et al.. (2020). Effect of a Novel Perturbation-Based Pinch Task Training on Sensorimotor Performance of Upper Extremity for Patients With Chronic Stroke: A Pilot Randomized Controlled Trial. Archives of Physical Medicine and Rehabilitation. 102(5). 811–818. 5 indexed citations
5.
Wu, Tzu‐Yi, et al.. (2020). Receptor discordance and phenotype change in metastatic breast cancer. Asian Journal of Surgery. 44(1). 192–198. 13 indexed citations
6.
Kuo, Yao-Lung, et al.. (2019). Use of Anterolateral Thigh Flap and Fibula Flap in Oncologic Maxillary Reconstruction. Annals of Plastic Surgery. 84(1S). S17–S25.
7.
Fang, Su‐Ying, et al.. (2019). Long-term effectiveness of an E-based survivorship care plan for breast cancer survivors: A quasi-experimental study. Patient Education and Counseling. 103(3). 549–555. 16 indexed citations
8.
Fang, Su‐Ying, et al.. (2019). Development and Usability Testing of a Decision Support App for Women Considering Breast Reconstruction Surgery. Journal of Cancer Education. 36(1). 160–167. 14 indexed citations
9.
Wu, Tzu‐Yi, et al.. (2019). <p>Dynamic Changes Of Body Image And Quality Of Life In Breast Cancer Patients</p>. Cancer Management and Research. Volume 11. 10563–10571. 29 indexed citations
10.
Rau, Kun-Ming, Fu Ou‐Yang, Ta‐Chung Chao, et al.. (2018). Effect of eribulin on patients with metastatic breast cancer: multicenter retrospective observational study in Taiwan. Breast Cancer Research and Treatment. 170(3). 583–591. 10 indexed citations
11.
Hung, Chin‐Sheng, Shih‐Hsin Tu, Shou-Tung Chen, et al.. (2017). The learning curve of endoscopic total mastectomy in Taiwan: A multi-center study. PLoS ONE. 12(6). e0178251–e0178251. 21 indexed citations
12.
Fang, Su‐Ying, et al.. (2016). Fear of Recurrence as a Predictor of Care Needs for Long-Term Breast Cancer Survivors. Cancer Nursing. 41(1). 69–76. 24 indexed citations
13.
14.
Chen, Chang, et al.. (2015). Metaplastic Breast Carcinoma With Multiple Muscle Metastasis. Medicine. 94(17). e662–e662. 5 indexed citations
15.
Lai, Hung-Wen, et al.. (2014). Round block technique is a useful oncoplastic procedure for multicentric fibroadenomas. The Surgeon. 14(1). 33–37. 7 indexed citations
16.
Wu, Yu-Ting, Shou-Tung Chen, Chih‐Jung Chen, et al.. (2014). Breast cancer arising within fibroadenoma: collective analysis of case reports in the literature and hints on treatment policy. World Journal of Surgical Oncology. 12(1). 335–335. 57 indexed citations
17.
Kuo, Yao-Lung, Wei‐Jen Yao, Lili Cheng, et al.. (2013). Validation of Memorial Sloan–Kettering Cancer Center nomogram for prediction of non-sentinel lymph node metastasis in sentinel lymph node positive breast cancer patients an international comparison. International Journal of Surgery. 11(7). 538–543. 18 indexed citations
18.
Lai, Hung-Wen, Ling‐Ming Tseng, Tsai-Wang Chang, et al.. (2013). The prognostic significance of metaplastic carcinoma of the breast (MCB) – A case controlled comparison study with infiltrating ductal carcinoma. The Breast. 22(5). 968–973. 66 indexed citations
19.
Kuo, Yao-Lung, Lili Cheng, & Tsai-Wang Chang. (2011). Clinical impact of BI-RADS classification in Taiwanese breast cancer patients: BI-RADS 5 versus BI-RADS 0-4. European Journal of Radiology. 81(7). 1504–1507. 4 indexed citations
20.
Kuo, Yao-Lung, Wei‐Jen Yao, & Tsai-Wang Chang. (2009). Which Hottest Nodes Can Predict Sentinel Lymph Node Metastasis in Breast Cancer?. Journal of Surgical Research. 168(2). 231–236. 1 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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