Susheng Shi

2.6k total citations
49 papers, 1.2k citations indexed

About

Susheng Shi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Susheng Shi has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Molecular Biology. Recurrent topics in Susheng Shi's work include Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Susheng Shi is often cited by papers focused on Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers) and Pancreatic and Hepatic Oncology Research (7 papers). Susheng Shi collaborates with scholars based in China, United States and United Kingdom. Susheng Shi's co-authors include Jie He, Xiaoli Feng, Zhaoli Chen, Kang Shao, Fang Zhou, Bin Qiu, Ning Li, Xiaoli Feng, Yibo Gao and Baozhong Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Susheng Shi

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susheng Shi China 19 745 627 406 190 184 49 1.2k
Rong-Zhen Luo China 20 737 1.0× 346 0.6× 274 0.7× 216 1.1× 230 1.3× 40 1.2k
Shuangni Yu China 21 1.0k 1.4× 914 1.5× 606 1.5× 165 0.9× 132 0.7× 68 1.7k
Sung‐Im Do South Korea 16 399 0.5× 258 0.4× 340 0.8× 145 0.8× 175 1.0× 84 913
Chit Chow Hong Kong 21 534 0.7× 396 0.6× 646 1.6× 197 1.0× 568 3.1× 53 1.4k
Tsui‐Lien Mao Taiwan 14 500 0.7× 188 0.3× 321 0.8× 120 0.6× 161 0.9× 24 1.0k
Genta Sawada Japan 18 1.3k 1.7× 1.1k 1.8× 321 0.8× 165 0.9× 172 0.9× 37 1.7k
Kuiran Dong China 18 597 0.8× 441 0.7× 152 0.4× 229 1.2× 122 0.7× 67 1000
Masanobu Kusano Japan 15 897 1.2× 293 0.5× 334 0.8× 214 1.1× 157 0.9× 28 1.2k
Giuseppina Della Vittoria Scarpati Italy 15 438 0.6× 313 0.5× 407 1.0× 125 0.7× 172 0.9× 44 973
Junliang Lu China 18 334 0.4× 253 0.4× 435 1.1× 162 0.9× 185 1.0× 48 961

Countries citing papers authored by Susheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Susheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susheng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Susheng Shi. A scholar is included among the top collaborators of Susheng Shi 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 Susheng Shi. Susheng Shi 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.
Hou, Guozhu, Yuanyuan Jiang, Yi Yang, et al.. (2025). ¹⁸F-AlF-NOTA-octreotide PET/CT in high-grade G3 neuroendocrine tumors and neuroendocrine carcinomas: diagnostic performance and complementarity with ¹⁸F-FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 53(4). 2351–2361.
2.
Ren, Hu, Penghui Niu, Zefeng Li, et al.. (2025). Survival and Metastatic Lymph Node Patterns in Gastric Carcinoma with Exocrine and Neuroendocrine Components. Annals of Surgical Oncology. 32(6). 4292–4303.
3.
Ren, Hu, Xiaojie Zhang, Fei He, et al.. (2023). Equivalent Survival between Gastric Large-Cell Neuroendocrine Carcinoma and Gastric Small-Cell Neuroendocrine Carcinoma. Journal of Clinical Medicine. 12(18). 6039–6039. 1 indexed citations
4.
Wang, Zhijie, Qichen Chen, Fuqiang Zhao, et al.. (2023). Analysis of the Genetic Characteristics and Metastatic Pathways of G1 and G2 Colorectal Neuroendocrine Neoplasms. Journal of the Endocrine Society. 8(2). bvad168–bvad168.
5.
Li, Renda, Zhenlin Yang, Hong Sheng Cheng, et al.. (2021). Multi-omics profiling of primary small cell carcinoma of the esophagus reveals RB1 disruption and additional molecular subtypes. Nature Communications. 12(1). 3785–3785. 29 indexed citations
6.
Yang, Lin, Hua Liang, Li Liu, et al.. (2020). CD56+ lymphoepithelioma-like carcinoma of the lung: A case report and literature review. World Journal of Clinical Cases. 8(7). 1257–1264.
7.
Li, Ye‐Xiong, Qinfu Feng, Jing Jin, et al.. (2019). Experts’ consensus on intraoperative radiotherapy for pancreatic cancer. Cancer Letters. 449. 1–7. 12 indexed citations
8.
Guo, Wei, Fan Zhang, Fei Shao, et al.. (2018). PD-L1 expression on tumor cells associated with favorable prognosis in surgically resected esophageal squamous cell carcinoma. Human Pathology. 84. 291–298. 18 indexed citations
9.
Wang, Chunni, Zitong Li, Fei Shao, et al.. (2017). High expression of Collagen Triple Helix Repeat Containing 1 (CTHRC1) facilitates progression of oesophageal squamous cell carcinoma through MAPK/MEK/ERK/FRA-1 activation. Journal of Experimental & Clinical Cancer Research. 36(1). 84–84. 59 indexed citations
10.
Liu, Lipin, Nan Bi, Lihong Wu, et al.. (2017). MicroRNA-29c functions as a tumor suppressor by targeting VEGFA in lung adenocarcinoma. Molecular Cancer. 16(1). 50–50. 78 indexed citations
11.
Zhao, Ge, Bin Qu, Susheng Shi, et al.. (2016). Calcification of arteries supplying the gastric tube increases the risk of anastomotic leakage after esophagectomy with cervical anastomosis. Journal of Thoracic Disease. 8(12). 3551–3562. 24 indexed citations
12.
Li, Wenbin, Tian Qiu, Susheng Shi, et al.. (2015). Colorectal carcinomas with KRAS codon 12 mutation are associated with more advanced tumor stages. BMC Cancer. 15(1). 340–340. 66 indexed citations
13.
Du, Feng, Zhaoxu Zheng, Susheng Shi, et al.. (2015). S-1 and Cisplatin With or Without Nimotuzumab for Patients With Untreated Unresectable or Metastatic Gastric Cancer. Medicine. 94(23). e958–e958. 38 indexed citations
14.
Liang, Jianwei, Zhi‐Zhou Shi, Xu Che, et al.. (2014). Identification of Genomic Alterations in Pancreatic Cancer Using Array-Based Comparative Genomic Hybridization. PLoS ONE. 9(12). e114616–e114616. 21 indexed citations
15.
Zhao, Xiaohong, Jiwen Wang, Zhen Wang, et al.. (2010). microRNA-92a Promotes Lymph Node Metastasis of Human Esophageal Squamous Cell Carcinoma via E-Cadherin. Journal of Biological Chemistry. 286(12). 10725–10734. 125 indexed citations
16.
Shi, Susheng, et al.. (2009). Rosai-Dorfman disease of lung: a case report and review of the literatures.. PubMed. 122(7). 873–4. 9 indexed citations
17.
Guo, Yong, Zhaoli Chen, Liang Zhang, et al.. (2008). Distinctive MicroRNA Profiles Relating to Patient Survival in Esophageal Squamous Cell Carcinoma. Cancer Research. 68(1). 26–33. 290 indexed citations
18.
Zhang, Cuiyan, Fang Zhou, Ning Li, et al.. (2007). Overexpression of RhoE Has a Prognostic Value in Non–Small Cell Lung Cancer. Annals of Surgical Oncology. 14(9). 2628–2635. 36 indexed citations
19.
Li, Baozhong, Wendong Lei, Kang Shao, et al.. (2007). Characteristics and prognosis of primary malignant melanoma of the esophagus. Melanoma Research. 17(4). 239–242. 42 indexed citations
20.
Shao, Yongfu, et al.. (2005). [Analysis of prognostic factors in gastrointestinal stromal tumors of the small intestine].. PubMed. 8(3). 213–6. 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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