Hao‐Xian Yang

1.7k total citations
51 papers, 937 citations indexed

About

Hao‐Xian Yang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Hao‐Xian Yang has authored 51 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pulmonary and Respiratory Medicine, 24 papers in Surgery and 14 papers in Oncology. Recurrent topics in Hao‐Xian Yang's work include Lung Cancer Diagnosis and Treatment (21 papers), Esophageal Cancer Research and Treatment (19 papers) and Lung Cancer Treatments and Mutations (17 papers). Hao‐Xian Yang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (21 papers), Esophageal Cancer Research and Treatment (19 papers) and Lung Cancer Treatments and Mutations (17 papers). Hao‐Xian Yang collaborates with scholars based in China, United States and United Kingdom. Hao‐Xian Yang's co-authors include Jianhua Fu, Peng Lin, Xue Hou, Camelia S. Sima, Bernard J. Park, Kaitlin M. Woo, David R. Jones, Valerie W. Rusch, Tie-Hua Rong and Nabil P. Rizk and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Surgery.

In The Last Decade

Hao‐Xian Yang

47 papers receiving 931 citations

Peers

Hao‐Xian Yang
Takuma Nomiya Japan
Qiao-Qiao Li China
Mercedes Canela Spain
Serena Badellino Italy
Tibetha Santucci United States
Guowei Ma China
Naga Cheedella United States
Robin S. Macherey United States
Yutaka Funami Japan
S. Marcié France
Takuma Nomiya Japan
Hao‐Xian Yang
Citations per year, relative to Hao‐Xian Yang Hao‐Xian Yang (= 1×) peers Takuma Nomiya

Countries citing papers authored by Hao‐Xian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hao‐Xian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao‐Xian 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 Hao‐Xian Yang. The network helps show where Hao‐Xian Yang may publish in the future.

Co-authorship network of co-authors of Hao‐Xian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao‐Xian Yang. A scholar is included among the top collaborators of Hao‐Xian 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 Hao‐Xian Yang. Hao‐Xian 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.
2.
Hu, Lei, et al.. (2024). Double-layered beam shaping assembly design based on intelligent optimization method coupling neural network and genetic algorithm for BNCT. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1063. 169260–169260. 4 indexed citations
3.
Lin, Yuebin, Hao‐Xian Yang, Kaijun Luo, et al.. (2023). EP07.02-08 Comparison of ICG and Methylene Blue in Preoperative Dye Marking Localization of Pulmonary Nodules Under the Guidance of ENB. Journal of Thoracic Oncology. 18(11). S527–S527.
4.
Tan, Zihui, Jibin Li, Hao Long, et al.. (2023). Impact of the Number of Harvested Lymph Nodes on Long-Term Survival in Node-Negative Non–Small-Cell Lung Cancer: Based on Clinical Stage But Not Pathological Stage. Clinical Lung Cancer. 24(6). e226–e235. 1 indexed citations
5.
Tan, Zihui, Abbas E. Abbas, Jibin Li, et al.. (2023). Defining the learning curve of robotic portal segmentectomy in small pulmonary lesions: a prospective observational study. Journal of Robotic Surgery. 17(4). 1477–1484. 3 indexed citations
6.
Yang, Guowei, Xiang Sun, Hao‐Xian Yang, et al.. (2022). 1256P Three courses of neoadjuvant camrelizumab combined with chemotherapy in locally advanced esophageal squamous cell carcinoma (ESCC): A prospective phase II clinical trial. Annals of Oncology. 33. S1122–S1122. 2 indexed citations
7.
Hou, Xue, Zheng Tan, Hao Long, et al.. (2022). Who are the real high-risk patients with pathological T2N0M0 non-small-cell lung cancer that can benefit from adjuvant chemotherapy?. ESMO Open. 7(3). 100508–100508. 5 indexed citations
8.
Li, Bob T., Jietian Jin, Valerie W. Rusch, et al.. (2021). Modification of Pathologic T Classification for Non-small Cell Lung Cancer With Visceral Pleural Invasion. CHEST Journal. 160(2). 754–764. 14 indexed citations
9.
Li, Jibin, et al.. (2021). Nomogram to Predict Cancer Specific Survival in Patients with Pathological Stage IA Non-small Cell Lung Cancer. Seminars in Thoracic and Cardiovascular Surgery. 34(3). 1040–1048. 6 indexed citations
10.
Qiu, Bo, Hao‐Xian Yang, Wenjun Xie, et al.. (2016). Combined Modalities of Magnetic Resonance Imaging, Endoscopy, and Computed Tomography in Evaluation of Tumor Response to Definitive Chemoradiation Therapy in Esophageal Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 96(2). E169–E170. 1 indexed citations
11.
Yang, Hao‐Xian, Kaitlin M. Woo, Camelia S. Sima, et al.. (2016). Long-term Survival Based on the Surgical Approach to Lobectomy For Clinical Stage I Nonsmall Cell Lung Cancer. Annals of Surgery. 265(2). 431–437. 213 indexed citations
12.
Hou, Xue, Jin-Chang Wei, Jianhua Fu, et al.. (2015). Vascular Endothelial Growth Factor is a Useful Predictor of Postoperative Distant Metastasis and Survival Prognosis in Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 22(11). 3666–3673. 10 indexed citations
13.
Tan, Zihui, Guowei Ma, Hao‐Xian Yang, et al.. (2014). Can Lymph Node Ratio Replace pN Categories in the Tumor-Node-Metastasis Classification System for Esophageal Cancer?. Journal of Thoracic Oncology. 9(8). 1214–1221. 59 indexed citations
14.
Liu, Qianwen, Guowei Ma, Hao‐Xian Yang, et al.. (2013). Lack of epidermal growth factor receptor gene mutations in exons 19 and 21 in primary lymphoepithelioma‐like carcinoma of the lung. Thoracic Cancer. 5(1). 63–67. 18 indexed citations
15.
Hou, Xue, Jin-Chang Wei, Xin Wang, et al.. (2013). Multidisciplinary Modalities Achieve Encouraging Long-Term Survival in Resectable Limited-Disease Esophageal Small Cell Carcinoma. PLoS ONE. 8(7). e69259–e69259. 28 indexed citations
16.
Hou, Xue, Jin-Chang Wei, Ying Xu, et al.. (2012). The Positive Lymph Node Ratio Predicts Long-Term Survival in Patients with Operable Thoracic Esophageal Squamous Cell Carcinoma in China. Annals of Surgical Oncology. 20(5). 1653–1659. 28 indexed citations
17.
Liang, Yi, Xue Hou, Qian Cui, et al.. (2012). Skp2 expression unfavorably impacts survival in resectable esophageal squamous cell carcinoma. Journal of Translational Medicine. 10(1). 73–73. 26 indexed citations
18.
Yang, Hao‐Xian, Ying Xu, Jianhua Fu, et al.. (2010). An Evaluation of the Number of Lymph Nodes Examined and Survival for Node-Negative Esophageal Carcinoma: Data from China. Annals of Surgical Oncology. 17(7). 1901–1911. 58 indexed citations
19.
Yang, Hao‐Xian, Xue Hou, Peng Lin, et al.. (2009). Survival and Risk Factors of Surgically Treated Mediastinal Invasion T4 Non-Small Cell Lung Cancer. The Annals of Thoracic Surgery. 88(2). 372–378. 36 indexed citations
20.
Yang, Hao‐Xian, et al.. (2009). Peripheral Direct Adjacent Lobe Invasion Non-small Cell Lung Cancer Has a Similar Survival to That of Parietal Pleural Invasion T3 Disease. Journal of Thoracic Oncology. 4(11). 1342–1346. 13 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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