Guohe Song

2.4k total citations
19 papers, 471 citations indexed

About

Guohe Song is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Guohe Song has authored 19 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Guohe Song's work include Liver Disease Diagnosis and Treatment (5 papers), Lipid metabolism and biosynthesis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guohe Song is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Lipid metabolism and biosynthesis (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guohe Song collaborates with scholars based in China, Sweden and Ethiopia. Guohe Song's co-authors include Xing Sun, Chao Xiao, Yupeng Wang, Lin Zhong, Chongzhi Zhou, Shifeng Xu, Jian Chen, Leilei Wu, Xiaoliang Wang and Zhao‐Wen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Guohe Song

17 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohe Song China 10 216 142 131 113 91 19 471
Anand Rajan United States 14 228 1.1× 125 0.9× 119 0.9× 93 0.8× 57 0.6× 49 548
Didem Taştekin Türkiye 15 185 0.9× 115 0.8× 197 1.5× 48 0.4× 87 1.0× 66 507
Timo Itzel Germany 13 232 1.1× 110 0.8× 123 0.9× 235 2.1× 68 0.7× 29 603
Yi Ming Mu China 9 405 1.9× 117 0.8× 165 1.3× 71 0.6× 59 0.6× 11 623
Sizhao Lu United States 15 341 1.6× 121 0.9× 58 0.4× 111 1.0× 58 0.6× 27 604
Guang-Ang Tian China 13 324 1.5× 180 1.3× 166 1.3× 53 0.5× 93 1.0× 20 582
Zhe Yang China 15 407 1.9× 280 2.0× 135 1.0× 74 0.7× 101 1.1× 42 656
Twishi Gulati Australia 9 218 1.0× 89 0.6× 78 0.6× 188 1.7× 35 0.4× 13 466
Juyong Liang China 10 195 0.9× 88 0.6× 110 0.8× 71 0.6× 74 0.8× 17 371

Countries citing papers authored by Guohe Song

Since Specialization
Citations

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

Fields of papers citing papers by Guohe Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohe Song

This figure shows the co-authorship network connecting the top 25 collaborators of Guohe Song. A scholar is included among the top collaborators of Guohe Song 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 Guohe Song. Guohe Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhang, Juan, Xiaojian Ni, Youpei Lin, et al.. (2025). AGEs-RAGE manipulates tumor intrinsic pERK/Sp1/IL6 pathway and reprograms macrophage to promote intrahepatic cholangiocarcinoma progression. Translational Oncology. 60. 102446–102446.
2.
Li, Jiaxin, Mao Zhang, Siyuan Huang, et al.. (2024). Multi-model analysis of gallbladder cancer reveals the role of OxLDL-absorbing neutrophils in promoting liver invasion. Experimental Hematology and Oncology. 13(1). 58–58. 6 indexed citations
3.
Xu, Xin, Xiaojian Ni, Jiaomeng Pan, et al.. (2023). Gene-based cancer-testis antigens as prognostic indicators in hepatocellular carcinoma. Heliyon. 9(3). e13269–e13269. 3 indexed citations
4.
Song, Guohe, De‐Zhen Guo, Zhijie Zhou, et al.. (2022). Identification of GINS2 prognostic potential and involvement in immune cell infiltration in hepatocellular carcinoma. Journal of Cancer. 13(2). 610–622. 7 indexed citations
5.
Wu, Gang, Chen Qiu, Zhijie Zhou, et al.. (2022). Mechanism and therapeutic strategy of hepatic TM6SF2-deficient non-alcoholic fatty liver diseases via in vivo and in vitro experiments. World Journal of Gastroenterology. 28(25). 2937–2954. 9 indexed citations
6.
Chen, Jian, Chao Xiao, Xiao Wang, et al.. (2021). The loss of SHMT2 mediates 5-fluorouracil chemoresistance in colorectal cancer by upregulating autophagy. Oncogene. 40(23). 3974–3988. 41 indexed citations
7.
Lin, Youpei, Huanhuan Chong, Guohe Song, et al.. (2021). The influence of 18F-fluorodeoxyglucose positron emission tomography/computed tomography on the N- and M-staging and subsequent clinical management of intrahepatic cholangiocarcinoma. HepatoBiliary Surgery and Nutrition. 11(5). 684–695. 7 indexed citations
8.
Shen, Weixing, Gang Wu, Changjiang Qin, et al.. (2021). The role of SAMM50 in non‐alcoholic fatty liver disease: from genetics to mechanisms. FEBS Open Bio. 11(7). 1893–1906. 16 indexed citations
9.
Song, Guohe, Yang Shi, Youpei Lin, et al.. (2020). Abstract PO-055: Global immune characterization of hepatocellular carcinoma identifies macrophage and T cell subsets related to disease progression. Cancer Research. 80(21_Supplement). PO–55.
10.
Zheng, Bohao, Jiaqiang Ma, Lingyu Tian, et al.. (2020). The distribution of immune cells within combined hepatocellular carcinoma and cholangiocarcinoma predicts clinical outcome. SHILAP Revista de lepidopterología. 10(1). 45–56. 28 indexed citations
11.
Xiao, Chao, Gang Wu, Zhijie Zhou, et al.. (2019). RBBP6, a RING finger-domain E3 ubiquitin ligase, induces epithelial–mesenchymal transition and promotes metastasis of colorectal cancer. Cell Death and Disease. 10(11). 833–833. 31 indexed citations
12.
Xiao, Chao, Yupeng Wang, Jian Chen, et al.. (2018). RBBP6 increases radioresistance and serves as a therapeutic target for preoperative radiotherapy in colorectal cancer. Cancer Science. 109(4). 1075–1087. 20 indexed citations
13.
Song, Guohe, et al.. (2018). Progress in the 16S rRNA Gene Sequencing in Forensic Science.. SHILAP Revista de lepidopterología. 34(5). 542–548. 2 indexed citations
14.
15.
Wang, Xiaoliang, Zhipeng Liu, Kai Wang, et al.. (2016). Additive Effects of the Risk Alleles of PNPLA3 and TM6SF2 on Non-alcoholic Fatty Liver Disease (NAFLD) in a Chinese Population. Frontiers in Genetics. 7. 140–140. 54 indexed citations
16.
Song, Guohe, Shifeng Xu, Hong Zhang, et al.. (2016). TIMP1 is a prognostic marker for the progression and metastasis of colon cancer through FAK-PI3K/AKT and MAPK pathway. Journal of Experimental & Clinical Cancer Research. 35(1). 148–148. 214 indexed citations
17.
Li, Chao, Jian Chen, Yupeng Wang, et al.. (2016). High-level expression of P21-Cdc/Rac-activated kinase 7 is closely related to metastatic potential and poor prognosis of colon carcinoma. Oncotarget. 7(29). 46042–46055. 5 indexed citations
18.
Wu, Gang, Kai Wang, Guohe Song, et al.. (2015). Association of rs5764455 and rs6006473 polymorphisms in PARVB with liver damage of nonalcoholic fatty liver disease in Han Chinese population. Gene. 575(2). 270–275. 11 indexed citations
19.
Wang, Yupeng, Tonghai Xing, Li Huang, et al.. (2015). Period 1 and estrogen receptor-beta are downregulated in Chinese colon cancers.. PubMed. 8(7). 8178–88. 7 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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