Yang Wo

713 total citations
22 papers, 443 citations indexed

About

Yang Wo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Yang Wo has authored 22 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 10 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Yang Wo's work include Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and MicroRNA in disease regulation (6 papers). Yang Wo is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (8 papers) and MicroRNA in disease regulation (6 papers). Yang Wo collaborates with scholars based in China and Spain. Yang Wo's co-authors include Xiao Sun, Yuanyong Wang, Tong Lu, Yanting Dong, Shicheng Li, Wenxing Du, Shuncheng Miao, Hongxia Yang, Wenjie Jiao and Wenhao Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Cancer Letters.

In The Last Decade

Yang Wo

21 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Wo China 14 292 210 159 113 51 22 443
Youcai Zhao China 10 176 0.6× 158 0.8× 82 0.5× 118 1.0× 45 0.9× 25 348
Xujie Gao China 11 294 1.0× 280 1.3× 136 0.9× 75 0.7× 53 1.0× 16 487
Xiushan Zheng China 11 266 0.9× 222 1.1× 94 0.6× 85 0.8× 53 1.0× 18 445
Audun Braaten Norway 6 242 0.8× 247 1.2× 117 0.7× 230 2.0× 33 0.6× 8 530
Hajime Shibuya Japan 8 196 0.7× 217 1.0× 86 0.5× 197 1.7× 88 1.7× 20 444
Leah Zhrebker United States 3 253 0.9× 186 0.9× 302 1.9× 68 0.6× 30 0.6× 3 360
Binliang Liu China 12 134 0.5× 183 0.9× 134 0.8× 228 2.0× 25 0.5× 34 384
Shuning Ding China 10 190 0.7× 163 0.8× 92 0.6× 161 1.4× 26 0.5× 19 381
Chunji Chen China 10 188 0.6× 109 0.5× 114 0.7× 96 0.8× 38 0.7× 31 361
Zongbin Xu China 14 169 0.6× 120 0.6× 100 0.6× 247 2.2× 162 3.2× 43 458

Countries citing papers authored by Yang Wo

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Wo

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wo. A scholar is included among the top collaborators of Yang Wo 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 Yang Wo. Yang Wo 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.
Zhao, Yue, Yang Wo, Zhigang Wu, et al.. (2024). The single cell immunogenomic landscape after neoadjuvant immunotherapy combined chemotherapy in esophageal squamous cell carcinoma. Cancer Letters. 593. 216951–216951. 6 indexed citations
2.
Wo, Yang, et al.. (2023). Individualized prediction of survival benefit from postoperative radiotherapy for patients with malignant pleural mesothelioma. Cancer Medicine. 12(11). 12452–12461. 2 indexed citations
3.
4.
Wo, Yang, et al.. (2023). Identified optimal candidates for pulmonary resection in octogenarians with non-small cell lung cancer: a web-based predictive model. Journal of Thoracic Disease. 15(3). 1142–1154. 2 indexed citations
5.
Wo, Yang, Hang Li, Yang Zhang, et al.. (2022). The impact of station 4L lymph node dissection on short-term and long-term outcomes in non-small cell lung cancer. Lung Cancer. 170. 141–147. 7 indexed citations
6.
Dong, Yanting, Tong Qiu, Yunpeng Xuan, et al.. (2021). circFBXW7 attenuates malignant progression in lung adenocarcinoma by sponging miR-942-5p. Translational Lung Cancer Research. 10(3). 1457–1473. 27 indexed citations
7.
Wang, Yuanyong, Yang Wo, Tong Lu, et al.. (2021). Circ-AASDH functions as the progression of early stage lung adenocarcinoma by targeting miR-140-3p to activate E2F7 expression. Translational Lung Cancer Research. 10(1). 57–70. 26 indexed citations
8.
Sun, Xiao, Yunpeng Xuan, Yandong Zhao, et al.. (2020). Relevance and prognostic ability of Twist, Slug and tumor spread through air spaces in lung adenocarcinoma. Cancer Medicine. 9(6). 1986–1998. 16 indexed citations
9.
Sun, Dantong, Tian Lu, Yan Zhu, et al.. (2020). Subunits of ARID1 serve as novel biomarkers for the sensitivity to immune checkpoint inhibitors and prognosis of advanced non-small cell lung cancer. Molecular Medicine. 26(1). 78–78. 42 indexed citations
10.
Sun, Dantong, Yan Zhu, Jingjuan Zhu, et al.. (2020). Primary resistance to first-generation EGFR-TKIs induced by MDM2 amplification in NSCLC. Molecular Medicine. 26(1). 66–66. 17 indexed citations
11.
Dong, Yanting, Shicheng Li, Xiao Sun, et al.. (2020). <p>Desmoglein 3 and Keratin 14 for Distinguishing Between Lung Adenocarcinoma and Lung Squamous Cell Carcinoma</p>. OncoTargets and Therapy. Volume 13. 11111–11124. 8 indexed citations
12.
Wang, Yuanyong, Rongjian Xu, Dongyang Zhang, et al.. (2019). Circ-ZKSCAN1 regulates FAM83A expression and inactivates MAPK signaling by targeting miR-330-5p to promote non-small cell lung cancer progression. Translational Lung Cancer Research. 8(6). 862–875. 76 indexed citations
13.
14.
Wang, Yuanyong, Tong Lu, Yang Wo, et al.. (2019). Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets. PeerJ. 7. e6809–e6809. 16 indexed citations
15.
Sun, Xiao, Maolong Wang, Rongjian Xu, et al.. (2019). Prognostic model based on circular RNA circPDK1 for resected lung squamous cell carcinoma. Translational Lung Cancer Research. 8(6). 907–919. 14 indexed citations
16.
Wo, Yang, Yandong Zhao, Tong Qiu, et al.. (2019). Impact of visceral pleural invasion on the association of extent of lymphadenectomy and survival in stage I non‐small cell lung cancer. Cancer Medicine. 8(2). 669–678. 26 indexed citations
17.
Lu, Tong, Di Chen, Yuanyong Wang, et al.. (2019). Identification of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas. Cancer Cell International. 19(1). 52–52. 39 indexed citations
18.
Li, Shicheng, Ronghua Yang, Xiao Sun, et al.. (2018). Identification of SPP1 as a promising biomarker to predict clinical outcome of lung adenocarcinoma individuals. Gene. 679. 398–404. 37 indexed citations
19.
Wo, Yang, Shicheng Li, Yuanyong Wang, et al.. (2018). Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma. Cancer Management and Research. Volume 10. 5919–5925. 17 indexed citations
20.
Wo, Yang, et al.. (2018). Long non-coding RNA CHRF facilitates cardiac hypertrophy through regulating Akt3 via miR-93. Cardiovascular Pathology. 35. 29–36. 37 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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