Peng Gao

4.1k total citations
100 papers, 3.0k citations indexed

About

Peng Gao is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peng Gao has authored 100 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Oncology, 34 papers in Surgery and 30 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peng Gao's work include Colorectal Cancer Surgical Treatments (31 papers), Gastric Cancer Management and Outcomes (21 papers) and Colorectal and Anal Carcinomas (19 papers). Peng Gao is often cited by papers focused on Colorectal Cancer Surgical Treatments (31 papers), Gastric Cancer Management and Outcomes (21 papers) and Colorectal and Anal Carcinomas (19 papers). Peng Gao collaborates with scholars based in China, United States and Saint Kitts and Nevis. Peng Gao's co-authors include Zhenning Wang, Yongxi Song, Jingxu Sun, Xiaowan Chen, Huimian Xu, Xuanzhang Huang, Junhua Zhao, Yingying Xu, Bin Ma and Yuchong Yang and has published in prestigious journals such as Nature Communications, PLoS ONE and Annals of Surgery.

In The Last Decade

Peng Gao

100 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Gao China 32 1.7k 997 862 790 783 100 3.0k
Tomoya Yokota Japan 31 1.4k 0.9× 1.1k 1.1× 1.4k 1.6× 325 0.4× 799 1.0× 186 3.3k
Kohei Murata Japan 32 1.1k 0.7× 846 0.8× 690 0.8× 517 0.7× 1.6k 2.0× 187 3.3k
Koji Ando Japan 29 1.1k 0.6× 1.0k 1.0× 1.1k 1.3× 287 0.4× 581 0.7× 171 2.5k
Jingxu Sun China 25 1.2k 0.7× 690 0.7× 708 0.8× 458 0.6× 379 0.5× 58 2.0k
Yoshifumi Shimada Japan 31 1.5k 0.9× 1.1k 1.1× 1.2k 1.4× 318 0.4× 673 0.9× 187 3.1k
Katsunobu Sakurai Japan 30 1.2k 0.7× 1.0k 1.0× 971 1.1× 445 0.6× 496 0.6× 141 2.8k
Naoyoshi Onoda Japan 34 1.8k 1.1× 942 0.9× 899 1.0× 866 1.1× 1.3k 1.7× 236 4.3k
Yoshito Akagi Japan 32 1.8k 1.1× 966 1.0× 741 0.9× 526 0.7× 786 1.0× 272 3.3k
Makoto Sohda Japan 32 1.1k 0.6× 1.4k 1.4× 1.2k 1.4× 599 0.8× 1.4k 1.8× 216 3.5k
Naoshi Kubo Japan 31 1.2k 0.7× 1.1k 1.1× 1.0k 1.2× 366 0.5× 551 0.7× 151 2.7k

Countries citing papers authored by Peng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Gao. A scholar is included among the top collaborators of Peng 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 Peng Gao. Peng 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.
Dong, Runyu, Zhixiong Wang, Danping Cao, et al.. (2024). The ‘Other’ subfamily of HECT E3 ubiquitin ligases evaluate the tumour immune microenvironment and prognosis in patients with hepatocellular carcinoma. IET Systems Biology. 18(1). 23–39. 5 indexed citations
2.
Gao, Peng, Na Lü, & Wen Liu. (2023). MRI VS. FDG-PET for diagnosis of response to neoadjuvant therapy in patients with locally advanced rectal cancer. Frontiers in Oncology. 13. 1031581–1031581. 2 indexed citations
3.
Gao, Peng, Nathalie Henley, Nan Chen, et al.. (2022). SMOC2 promotes an epithelial-mesenchymal transition and a pro-metastatic phenotype in epithelial cells of renal cell carcinoma origin. Cell Death and Disease. 13(7). 639–639. 11 indexed citations
4.
5.
Zhu, Jinliang, Xin Wang, Qiong Xiao, et al.. (2020). HIP1R acts as a tumor suppressor in gastric cancer by promoting cancer cell apoptosis and inhibiting migration and invasion through modulating Akt. Journal of Clinical Laboratory Analysis. 34(9). e23425–e23425. 8 indexed citations
6.
Zhang, Shaojun, et al.. (2020). Hypothyroidism and Adverse Endpoints in Diabetic Patients: A Systematic Review and Meta-Analysis. Frontiers in Endocrinology. 10. 889–889. 7 indexed citations
7.
Huang, Xuanzhang, Peng Gao, Yongxi Song, et al.. (2020). Efficacy of Immune Checkpoint Inhibitors and Age in Cancer Patients. Immunotherapy. 12(8). 587–603. 24 indexed citations
8.
Sun, Jingxu, Xin Wang, Peng Gao, et al.. (2018). Prognosis and efficiency of adjuvant therapy in resected colon signet-ring cell carcinoma. Translational Cancer Research. 7(4). 1006–1025. 3 indexed citations
9.
Liu, Jingjing, Jiajun Wang, Yongxi Song, et al.. (2018). A panel consisting of three novel circulating lncRNAs, is it a predictive tool for gastric cancer?. Journal of Cellular and Molecular Medicine. 22(7). 3605–3613. 24 indexed citations
10.
Wu, Zhonghua, Junhua Zhao, Peng Gao, et al.. (2017). Prognostic value of pretreatment standardized uptake value of F-18-fluorodeoxyglucose PET in patients with gastric cancer: a meta-analysis. BMC Cancer. 17(1). 275–275. 15 indexed citations
11.
Chen, Hanyu, Bin Ma, Peng Gao, et al.. (2017). Laparoscopic intersphincteric resection versus an open approach for low rectal cancer: a meta-analysis. World Journal of Surgical Oncology. 15(1). 229–229. 20 indexed citations
12.
13.
Lü, Xiaoli, Xiaowan Chen, Jingxu Sun, et al.. (2015). Polymorphism in epidermal growth factor is related to clinical outcomes of metastatic colorectal cancer patients treated with cetuximab: a systematic review and meta-analysis.. PubMed. 8(7). 10929–37. 4 indexed citations
14.
Song, Yongxi, Xuanzhang Huang, Peng Gao, et al.. (2015). Clinicopathologic and Prognostic Value of Serum Carbohydrate Antigen 19-9 in Gastric Cancer: A Meta-Analysis. Disease Markers. 2015. 1–11. 62 indexed citations
15.
Yang, Yuchong, Xuanzhang Huang, Jingxu Sun, et al.. (2015). Prognostic Value of Perineural Invasion in Colorectal Cancer: A Meta-Analysis. Journal of Gastrointestinal Surgery. 19(6). 1113–1122. 77 indexed citations
16.
17.
Liang, Jiwang, Peng Gao, Zhenning Wang, et al.. (2012). The Integration of Macroscopic Tumor Invasion of Adjacent Organs into TNM Staging System for Colorectal Cancer. PLoS ONE. 7(12). e52269–e52269. 9 indexed citations
18.
Gao, Peng, Xin Zhou, Zhenning Wang, et al.. (2012). Which Is a More Accurate Predictor in Colorectal Survival Analysis? Nine Data Mining Algorithms vs. the TNM Staging System. PLoS ONE. 7(7). e42015–e42015. 24 indexed citations
19.
Sun, Jingxu, Yongxi Song, Zhenning Wang, et al.. (2012). Benefits of hyperthermic intraperitoneal chemotherapy for patients with serosal invasion in gastric cancer: a meta-analysis of the randomized controlled trials. BMC Cancer. 12(1). 526–526. 77 indexed citations
20.
Song, Yongxi, Peng Gao, Zhenning Wang, et al.. (2011). Which Is the Most Suitable Classification for Colorectal Cancer, Log Odds, the Number or the Ratio of Positive Lymph Nodes?. PLoS ONE. 6(12). e28937–e28937. 49 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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