Shugeng Gao

2.5k total citations · 1 hit paper
53 papers, 1.0k citations indexed

About

Shugeng Gao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Shugeng Gao has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 22 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Shugeng Gao's work include Lung Cancer Treatments and Mutations (22 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Shugeng Gao is often cited by papers focused on Lung Cancer Treatments and Mutations (22 papers), Lung Cancer Diagnosis and Treatment (20 papers) and Cancer Immunotherapy and Biomarkers (10 papers). Shugeng Gao collaborates with scholars based in China, United States and Taiwan. Shugeng Gao's co-authors include Jie He, Zhijie Wang, Qi Xue, Peng Song, Fengwei Tan, Wenqiang Wei, Nan Bi, Ni Li, Shuhang Wang and Fan Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Shugeng Gao

44 papers receiving 986 citations

Hit Papers

Treatment-related adverse events of PD-1 and PD-L1 inhibi... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Treatment-related adverse events of PD-1 and PD-L1 inhibitor-based combination therapies in clinical trials: a systematic review and meta-analysis
    2021 160 citations Jianchun Duan, Zhijie Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shugeng Gao China 18 523 486 272 207 183 53 1.0k
Filippo Gustavo Dall’Olio Italy 13 433 0.8× 610 1.3× 178 0.7× 229 1.1× 127 0.7× 39 956
Petr Szturz Czechia 18 350 0.7× 494 1.0× 269 1.0× 141 0.7× 307 1.7× 85 1.2k
Melissa A. Reimers United States 13 532 1.0× 461 0.9× 284 1.0× 252 1.2× 121 0.7× 53 921
Luciano de Souza Viana Brazil 18 396 0.8× 492 1.0× 342 1.3× 223 1.1× 137 0.7× 37 968
Alex Guminski Australia 16 445 0.9× 709 1.5× 272 1.0× 201 1.0× 128 0.7× 35 1.1k
Koung Jin Suh South Korea 18 475 0.9× 786 1.6× 271 1.0× 215 1.0× 178 1.0× 98 1.2k
Florian Kocher Austria 18 357 0.7× 498 1.0× 215 0.8× 160 0.8× 130 0.7× 72 990
Matthew R. Zibelman United States 19 367 0.7× 455 0.9× 276 1.0× 130 0.6× 315 1.7× 85 954
Charles Dariane France 16 525 1.0× 283 0.6× 168 0.6× 101 0.5× 185 1.0× 97 867
Reyes Bernabé Spain 19 611 1.2× 684 1.4× 211 0.8× 173 0.8× 67 0.4× 92 1.1k

Countries citing papers authored by Shugeng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shugeng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shugeng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shugeng Gao. A scholar is included among the top collaborators of Shugeng 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 Shugeng Gao. Shugeng 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
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Yang, Zhenlin, Bolun Zhou, Wei Guo, et al.. (2024). Genomic characteristics and immune landscape of super multiple primary lung cancer. EBioMedicine. 101. 105019–105019. 6 indexed citations
4.
Zhou, Yang, Wei Rao, Li Zhao, et al.. (2024). IL-1 receptor-associated kinase 3 (IRAK3) in lung adenocarcinoma predicts prognosis and immunotherapy resistance: involvement of multiple inflammation-related pathways. Translational Lung Cancer Research. 13(9). 2139–2161. 3 indexed citations
5.
Heymach, John V., David H. Harpole, Tetsuya Mitsudomi, et al.. (2023). Abstract CT005: AEGEAN: A phase 3 trial of neoadjuvant durvalumab + chemotherapy followed by adjuvant durvalumab in patients with resectable NSCLC. Cancer Research. 83(8_Supplement). CT005–CT005. 55 indexed citations
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Zhao, Ziran, Yibo Gao, Fengwei Tan, et al.. (2023). Specific organ metastases and prognosis in lung adenocarcinoma. Thoracic Cancer. 14(8). 736–745. 3 indexed citations
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Song, Peng, Fenglan Li, Lei Guo, et al.. (2022). Pan-cancer analysis combined with experiments explores the oncogenic role of spindle apparatus coiled-coil protein 1 (SPDL1). Cancer Cell International. 22(1). 49–49. 8 indexed citations
9.
Guo, Wei, et al.. (2021). Prognostic Impact of IGF2BP3 Expression in Patients with Surgically Resected Lung Adenocarcinoma. DNA and Cell Biology. 40(2). 316–331. 24 indexed citations
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Tan, Fengwei, Qi Xue, Lei Liu, et al.. (2021). Clinicopathological characteristics and prognostic factors of primary pulmonary lymphoma. Journal of Thoracic Disease. 13(2). 1106–1117. 12 indexed citations
11.
Guo, Wei, Qilin Huai, Guochao Zhang, et al.. (2021). Elevated Heterogeneous Nuclear Ribonucleoprotein C Expression Correlates With Poor Prognosis in Patients With Surgically Resected Lung Adenocarcinoma. Frontiers in Oncology. 10. 598437–598437. 20 indexed citations
12.
Zhang, Moyan, et al.. (2020). Primary pulmonary epithelioid malignant peripheral nerve sheath tumor in a child: a case report. Annals of Translational Medicine. 8(6). 403–403. 1 indexed citations
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Yuan, Zuyang, Xinfeng Wang, Yin Li, et al.. (2020). Liquid biopsy for esophageal cancer: Is detection of circulating cell‐free DNA as a biomarker feasible?. Cancer Communications. 41(1). 3–15. 22 indexed citations
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Gao, Shugeng, Ning Li, Shuhang Wang, et al.. (2020). Lung Cancer in People’s Republic of China. Journal of Thoracic Oncology. 15(10). 1567–1576. 153 indexed citations
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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
16.
Tian, Yanhua, Zhijie Wang, Xiaohui Liu, et al.. (2018). Prediction of Chemotherapeutic Efficacy in Non–Small Cell Lung Cancer by Serum Metabolomic Profiling. Clinical Cancer Research. 24(9). 2100–2109. 57 indexed citations
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Qiu, Bin, Wanpu Yan, Ke‐Neng Chen, et al.. (2016). A multi-center evaluation of a powered surgical stapler in video-assisted thoracoscopic lung resection procedures in China. Journal of Thoracic Disease. 8(5). 1007–1013. 10 indexed citations
20.
Yang, Jinsong, Wencheng Zhang, Zefen Xiao, et al.. (2015). Postoperative adjuvant three-dimensional conformal radiotherapy improves long-term survival in patients with pathological T2-3N0M0 esophageal cancer. Zhonghua fangshe zhongliuxue zazhi. 24(2). 101–105. 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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