Yushun Gao

1.6k total citations
84 papers, 1.1k citations indexed

About

Yushun Gao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Yushun Gao has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Pulmonary and Respiratory Medicine, 25 papers in Oncology and 24 papers in Surgery. Recurrent topics in Yushun Gao's work include Lung Cancer Diagnosis and Treatment (31 papers), Lung Cancer Treatments and Mutations (16 papers) and Esophageal Cancer Research and Treatment (15 papers). Yushun Gao is often cited by papers focused on Lung Cancer Diagnosis and Treatment (31 papers), Lung Cancer Treatments and Mutations (16 papers) and Esophageal Cancer Research and Treatment (15 papers). Yushun Gao collaborates with scholars based in China, United States and United Kingdom. Yushun Gao's co-authors include Qi Xue, Yousheng Mao, Minjun Du, Shugeng Gao, Jie He, Yanjiao Zhang, Fengwei Tan, Shugeng Gao, Dali Wang and Juwei Mu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Yushun Gao

80 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yushun Gao China 17 481 445 382 248 216 84 1.1k
Julie Steinestel Germany 19 351 0.7× 473 1.1× 306 0.8× 304 1.2× 229 1.1× 42 1.0k
Chisato Ohe Japan 19 509 1.1× 727 1.6× 216 0.6× 213 0.9× 281 1.3× 92 1.1k
Andreas M. Luebke Germany 15 339 0.7× 308 0.7× 167 0.4× 250 1.0× 137 0.6× 48 819
Lidia Gatto Italy 21 326 0.7× 450 1.0× 290 0.8× 342 1.4× 194 0.9× 83 1.2k
Shugeng Gao China 21 507 1.1× 783 1.8× 447 1.2× 529 2.1× 289 1.3× 99 1.5k
Yuchen Han China 16 312 0.6× 424 1.0× 184 0.5× 368 1.5× 88 0.4× 82 899
Mariza de Peralta‐Venturina United States 13 495 1.0× 717 1.6× 278 0.7× 330 1.3× 476 2.2× 25 1.2k
Taoyuan Lu China 12 369 0.8× 423 1.0× 332 0.9× 261 1.1× 65 0.3× 25 812
Xue‐Yi Xue China 20 467 1.0× 587 1.3× 336 0.9× 150 0.6× 246 1.1× 125 1.2k
Robin Pollock United Kingdom 14 271 0.6× 576 1.3× 336 0.9× 120 0.5× 239 1.1× 23 1.1k

Countries citing papers authored by Yushun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yushun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yushun Gao. A scholar is included among the top collaborators of Yushun Gao 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 Yushun Gao. Yushun Gao 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.
Wang, Bing, Fang Li, Xingkai Li, et al.. (2023). The c‐Src/LIST Positive Feedback Loop Sustains Tumor Progression and Chemoresistance. Advanced Science. 10(20). e2300115–e2300115. 5 indexed citations
3.
Du, Minjun, et al.. (2023). A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma. Frontiers in Pharmacology. 14. 1195195–1195195. 6 indexed citations
4.
Li, Jiagen, Qi Xue, Yushun Gao, et al.. (2021). Uniportal video‐assisted thoracoscopic left pneumonectomy: Retrospective analysis of eighteen consecutive patients from a single center. Thoracic Cancer. 12(3). 324–328. 1 indexed citations
5.
Liang, Mei, et al.. (2021). Two closely spaced missense COL3A1 variants in cis cause vascular Ehlers‐Danlos syndrome in one large Chinese family. Journal of Cellular and Molecular Medicine. 26(1). 144–150. 3 indexed citations
6.
Li, Xingkai, Fang Lv, Li Fang, et al.. (2020). LINC01089 Inhibits Tumorigenesis and Epithelial–Mesenchymal Transition of Non-small Cell Lung Cancer via the miR-27a/SFRP1/Wnt/β-catenin Axis. Frontiers in Oncology. 10. 532581–532581. 21 indexed citations
7.
Li, Xingkai, Fang Lv, Fang Li, et al.. (2020). <p>Long Noncoding RNA H19 Facilitates Small Cell Lung Cancer Tumorigenesis Through miR-140-5p/FGF9 Axis</p>. OncoTargets and Therapy. Volume 13. 3525–3534. 18 indexed citations
8.
Zeng, Qingpeng, Bingzhi Wang, Jiagen Li, et al.. (2020). <p>Solid Nodule Appearance as a Predictor of Tumor Spread Through Air Spaces in Patients with Lung Adenocarcinoma: A Propensity Score Matching Study</p>. Cancer Management and Research. Volume 12. 8197–8207. 4 indexed citations
9.
Zhai, Yirui, Dazhi Chen, Yushun Gao, et al.. (2020). Role of modern neoadjuvant chemoradiotherapy in locally advanced thymic epithelial neoplasms. Tumori Journal. 107(5). 407–415. 8 indexed citations
10.
Shao, Kang, Yalong Wang, Qi Xue, et al.. (2019). Clinicopathological features and prognosis of ciliated muconodular papillary tumor. Journal of Cardiothoracic Surgery. 14(1). 143–143. 23 indexed citations
11.
Gao, Shugeng, Yalong Wang, Qi Xue, et al.. (2019). Esophageal Squamous Cell Carcinoma Involving the Lip, Back and Hip. Journal of Thoracic Oncology. 14(9). 1672–1674. 1 indexed citations
12.
Li, Ning, Fengwei Tan, Bin Qiu, et al.. (2018). [Comparison of lung cancer surgery in China, 2005 vs. 2015].. PubMed. 40(4). 300–302. 2 indexed citations
13.
Ding, Ningning, Yousheng Mao, Shugeng Gao, et al.. (2018). Predictors of lymph node metastasis and possible selective lymph node dissection in clinical stage IA non-small cell lung cancer. Journal of Thoracic Disease. 10(7). 4061–4068. 29 indexed citations
14.
Yang, Ding, Yousheng Mao, Jie He, et al.. (2018). Long-term survival of the middle and lower thoracic esophageal cancer patients after surgical treatment through left or right thoracic approach. Journal of Thoracic Disease. 10(5). 2648–2655. 13 indexed citations
15.
Yang, Yikun, Yousheng Mao, Lin Yang, et al.. (2017). Prognostic factors in curatively resected pathological stage I lung adenocarcinoma. Journal of Thoracic Disease. 9(12). 5267–5277. 10 indexed citations
16.
Zhao, Ge, Xiaoying Zhang, Shugeng Gao, et al.. (2017). [Analysis of the risk factors for postoperative cervical anastomotic leakage after McKeown's esophagectomy].. PubMed. 39(4). 287–292. 3 indexed citations
17.
Gao, Yushun, et al.. (2016). [Clinical features and surgical treatment of chest aggressive fibromatosis].. PubMed. 38(3). 232–5. 2 indexed citations
18.
Li, Min, Meizi Cui, Chao Niu, et al.. (2016). Epigenetic suppression of the antitumor cytotoxicity of NK cells by histone deacetylase inhibitor valproic acid.. PubMed. 6(3). 600–14. 29 indexed citations
19.
Mu, Juwei, Shugeng Gao, Qi Xue, et al.. (2016). A propensity matched comparison of effects between video assisted thoracoscopic single-port, two-port and three-port pulmonary resection on lung cancer. Journal of Thoracic Disease. 8(7). 1469–1476. 16 indexed citations
20.
Mao, Yousheng, Jie He, Jingsi Dong, et al.. (2015). [Comparison of the lymph node dissection and complications between video-assisted thoracoscopic (VATS) esophagectomy and conventional esophagectomy via right thoracotomic].. PubMed. 37(7). 530–3. 2 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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