Yao Liang

1.0k total citations
40 papers, 703 citations indexed

About

Yao Liang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Yao Liang has authored 40 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 19 papers in Oncology and 14 papers in Surgery. Recurrent topics in Yao Liang's work include Sarcoma Diagnosis and Treatment (13 papers), Gastric Cancer Management and Outcomes (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Yao Liang is often cited by papers focused on Sarcoma Diagnosis and Treatment (13 papers), Gastric Cancer Management and Outcomes (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). Yao Liang collaborates with scholars based in China and Sweden. Yao Liang's co-authors include Xing Zhang, Cheng Fang, Yi Que, Wei Wang, Shaoqiang Li, Li‐Jian Liang, Fei Ji, Shunjun Fu, Yunpeng Hua and Baogang Peng and has published in prestigious journals such as Scientific Reports, Nutrients and Annals of Surgical Oncology.

In The Last Decade

Yao Liang

38 papers receiving 698 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 Liang China 15 330 282 174 150 144 40 703
Kyohei Yugawa Japan 16 301 0.9× 159 0.6× 276 1.6× 195 1.3× 215 1.5× 41 703
Yen‐Yang Chen Taiwan 17 342 1.0× 241 0.9× 138 0.8× 300 2.0× 169 1.2× 70 785
Zhixiang Jian China 17 335 1.0× 211 0.7× 180 1.0× 231 1.5× 206 1.4× 38 781
Yangsoon Park South Korea 20 475 1.4× 390 1.4× 159 0.9× 301 2.0× 279 1.9× 59 1.2k
Diana L. Hanna United States 17 600 1.8× 250 0.9× 258 1.5× 164 1.1× 238 1.7× 75 1.0k
Rümeysa Çiftçi Türkiye 16 385 1.2× 249 0.9× 140 0.8× 82 0.5× 134 0.9× 43 776
Beate Haugk United Kingdom 15 326 1.0× 139 0.5× 82 0.5× 211 1.4× 95 0.7× 40 590
Katsunobu Taki Japan 21 617 1.9× 213 0.8× 284 1.6× 320 2.1× 222 1.5× 53 1.1k
Shinichi Nakanuma Japan 18 322 1.0× 122 0.4× 83 0.5× 202 1.3× 173 1.2× 93 752
Takamichi Igarashi Japan 16 355 1.1× 124 0.4× 87 0.5× 203 1.4× 142 1.0× 94 691

Countries citing papers authored by Yao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Liang. A scholar is included among the top collaborators of Yao Liang 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 Liang. Yao Liang 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.
Zhang, Ruopeng, Xiaojiang Chen, Guoming Chen, et al.. (2025). Novel surveillance protocol for gastric cancer based on CEA: a high-volume multi-center study. BMC Cancer. 25(1). 1396–1396. 1 indexed citations
2.
Wang, Zilu, et al.. (2025). Novel Location-Grading-Node-Metastasis Staging System in Patients With Head and Neck Soft Tissue Sarcoma. Journal of Otolaryngology - Head and Neck Surgery. 54. 2071657199–2071657199. 1 indexed citations
3.
Yuan, Fei, Xinyuan Xu, Yuhong Liu, et al.. (2024). Correlation between neuropsychiatric systemic lupus erythematosus and immunological markers: a real-world retrospective study. Clinical Rheumatology. 43(9). 2833–2842. 1 indexed citations
4.
Yan, Jinyao, Yao Liang, Dezhong Li, et al.. (2024). Croplands Quality Evaluation of Whole Tillage Layer Based on the Minimum Data Set in Jilin Province, China. Agronomy. 14(11). 2728–2728. 1 indexed citations
5.
Liang, Chengcai, et al.. (2023). Clinicopathological and prognostic features of Borrmann type IV gastric cancer versus other Borrmann types: A unique role of signet ring cell carcinoma. Saudi Journal of Gastroenterology. 29(4). 240–250. 1 indexed citations
6.
Liu, Mengmeng, Quan Li, & Yao Liang. (2023). Pyroptosis-related genes prognostic model for predicting targeted therapy and immunotherapy response in soft tissue sarcoma. Frontiers in Pharmacology. 14. 1188473–1188473. 5 indexed citations
7.
Ding, Chao, Xu Lin, Guoqiang Wang, et al.. (2021). Comparison of a Tumor-Ratio–Metastasis Staging System and the 8th AJCC TNM Staging System for Gastric Cancer. Frontiers in Oncology. 11. 595421–595421. 13 indexed citations
8.
9.
Xu, Lin, et al.. (2021). A nomogram to predict risk of lymph node metastasis in early gastric cancer. Scientific Reports. 11(1). 22873–22873. 27 indexed citations
10.
Chen, Gang, Yi‐Wu Dang, Zhi‐Guang Huang, et al.. (2020). Clinical Significance of the Interleukin 24 mRNA Level in Head and Neck Squamous Cell Carcinoma and Its Subgroups: An In Silico Investigation. Journal of Oncology. 2020. 1–15. 5 indexed citations
11.
Hou, Tao, Run‐Cong Nie, Dong‐Chun Hong, et al.. (2020). The prognostic role of the preoperative systemic immune-inflammation index and high-sensitivity modified Glasgow prognostic score in patients after radical operation for soft tissue sarcoma. European Journal of Surgical Oncology. 46(8). 1496–1502. 18 indexed citations
12.
Liang, Yao, et al.. (2020). Time to Local Recurrence as a Predictor of Survival in Patients With Soft Tissue Sarcoma of the Extremity and Abdominothoracic Wall. Frontiers in Oncology. 10. 599097–599097. 9 indexed citations
13.
Zhong, Feng, Huiping Lu, Gang Chen, et al.. (2019). The clinical significance and potential molecular mechanism of integrin subunit beta 4 in laryngeal squamous cell carcinoma. Pathology - Research and Practice. 216(2). 152785–152785. 10 indexed citations
14.
15.
Liang, Yao, Wei Wang, Yi Que, et al.. (2018). Prognostic value of the fibrinogen/albumin ratio (FAR) in patients with operable soft tissue sarcoma. BMC Cancer. 18(1). 942–942. 35 indexed citations
16.
Liang, Yao, Wei Wang, Jingjing Li, et al.. (2018). Combined Use of the Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios as a Prognostic Predictor in Patients with Operable Soft Tissue Sarcoma. Journal of Cancer. 9(12). 2132–2139. 20 indexed citations
17.
Zhang, Wen-wen, Han Yang, Yao Liang, et al.. (2017). Chemoradiotherapy for Synchronous Multiple Primary Cancers with Esophageal Squamous Cell Carcinoma: a Case-control Study. Journal of Cancer. 8(4). 563–569. 12 indexed citations
18.
Ji, Fei, Yao Liang, Shunjun Fu, et al.. (2017). Prognostic value of combined preoperative prognostic nutritional index and body mass index in HCC after hepatectomy. HPB. 19(8). 695–705. 45 indexed citations
19.
Liang, Yao, et al.. (2016). Hepatic adenylate cyclase 3 is upregulated by Liraglutide and subsequently plays a protective role in insulin resistance and obesity. Nutrition and Diabetes. 6(1). e191–e191. 25 indexed citations
20.

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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