Linlang Guo

4.3k total citations
119 papers, 3.2k citations indexed

About

Linlang Guo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Linlang Guo has authored 119 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 59 papers in Oncology and 43 papers in Cancer Research. Recurrent topics in Linlang Guo's work include Lung Cancer Research Studies (37 papers), RNA modifications and cancer (30 papers) and Cancer-related molecular mechanisms research (25 papers). Linlang Guo is often cited by papers focused on Lung Cancer Research Studies (37 papers), RNA modifications and cancer (30 papers) and Cancer-related molecular mechanisms research (25 papers). Linlang Guo collaborates with scholars based in China, United States and Hong Kong. Linlang Guo's co-authors include Yanqin Sun, Yifeng Bai, Ying Guo, Weiliang Zhu, Ting Wei, Weimei Huang, Jian Zhang, Shun Fang, Yuchun Niu and Jie Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Linlang Guo

115 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linlang Guo China 32 2.5k 1.6k 824 321 230 119 3.2k
Xiaoyuan Chu China 33 2.0k 0.8× 1.4k 0.9× 557 0.7× 272 0.8× 184 0.8× 91 2.7k
John G. Clohessy United States 28 2.9k 1.2× 1.4k 0.9× 756 0.9× 371 1.2× 156 0.7× 50 3.7k
Christopher S. Gondi United States 32 1.6k 0.6× 1.1k 0.7× 772 0.9× 176 0.5× 145 0.6× 70 2.8k
Li Zhou China 32 1.5k 0.6× 1.0k 0.6× 905 1.1× 297 0.9× 309 1.3× 118 2.7k
Kyoko Hida Japan 34 2.5k 1.0× 1.3k 0.8× 956 1.2× 318 1.0× 85 0.4× 65 3.5k
Ievgenia Pastushenko Belgium 10 1.6k 0.7× 973 0.6× 1.2k 1.4× 349 1.1× 251 1.1× 16 2.7k
Julia Schüler Germany 20 1.8k 0.7× 1.1k 0.7× 1.4k 1.7× 296 0.9× 95 0.4× 78 3.1k
Minji Jo United States 23 1.6k 0.6× 902 0.6× 796 1.0× 203 0.6× 191 0.8× 33 2.5k
Zhenhe Suo Norway 32 1.8k 0.7× 872 0.5× 1.3k 1.5× 447 1.4× 246 1.1× 107 3.1k
Fengyan Yu China 21 3.0k 1.2× 2.4k 1.5× 1.3k 1.6× 176 0.5× 129 0.6× 44 4.1k

Countries citing papers authored by Linlang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Linlang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Linlang Guo. A scholar is included among the top collaborators of Linlang Guo 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 Linlang Guo. Linlang Guo 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.
Niu, Yuchun, Yi Chen, Lei Sun, et al.. (2025). Targeting FOXP1 phase separation in small cell lung cancer mechanisms of chemotherapy resistance. Communications Biology. 8(1). 431–431. 2 indexed citations
3.
Guo, Linlang, et al.. (2024). Research on the construction of load management system for power supply guarantee target. SHILAP Revista de lepidopterología. 565. 2009–2009.
4.
Zhang, Jiexia, Ningning Zhou, Huojin Deng, et al.. (2023). Prognostic value of circulating tumor DNA using target next-generation sequencing in extensive-stage small-cell lung cancer. Lung Cancer. 178. 11–19. 8 indexed citations
5.
Mou, Weiming, Lingxuan Zhu, Tao Yang, et al.. (2022). Relationship between ATOH1 and tumor microenvironment in colon adenocarcinoma patients with different microsatellite instability status. Cancer Cell International. 22(1). 229–229. 3 indexed citations
6.
Xu, Zhiyuan, Yang Li, Hao Yu, & Linlang Guo. (2022). A machine learning model for grade 4 lymphopenia prediction during pelvic radiotherapy in patients with cervical cancer. Frontiers in Oncology. 12. 905222–905222. 9 indexed citations
7.
Cai, Jun, Xiao‐Peng Tian, Shu‐Yun Ma, et al.. (2021). A nomogram prognostic index for risk-stratification in diffuse large B-cell lymphoma in the rituximab era: a multi-institutional cohort study. British Journal of Cancer. 125(3). 402–412. 11 indexed citations
8.
Huang, Weimei, Anqi Lin, Peng Luo, et al.. (2020). EPHA5 mutation predicts the durable clinical benefit of immune checkpoint inhibitors in patients with lung adenocarcinoma. Cancer Gene Therapy. 28(7-8). 864–874. 40 indexed citations
9.
Zhang, Jiexia, Ningning Zhou, Anqi Lin, et al.. (2020). ZFHX3 mutation as a protective biomarker for immune checkpoint blockade in non-small cell lung cancer. Cancer Immunology Immunotherapy. 70(1). 137–151. 67 indexed citations
10.
Qiu, Zhengang, Weiliang Zhu, Hui Meng, et al.. (2019). CDYL promotes the chemoresistance of small cell lung cancer by regulating H3K27 trimethylation at the CDKN1C promoter. Theranostics. 9(16). 4717–4729. 34 indexed citations
11.
Wang, Qiongyao, Fanrui Zeng, Yanqin Sun, et al.. (2017). Etk Interaction with PFKFB4 Modulates Chemoresistance of Small-cell Lung Cancer by Regulating Autophagy. Clinical Cancer Research. 24(4). 950–962. 58 indexed citations
12.
Meng, Hui, et al.. (2016). MiR-335 regulates the chemo-radioresistance of small cell lung cancer cells by targeting PARP-1. Gene. 600. 9–15. 36 indexed citations
13.
Liu, Huanxin, Xiaoxia Wu, Jie Huang, Juan Peng, & Linlang Guo. (2015). miR‐7 modulates chemoresistance of small cell lung cancer by repressing MRP1/ABCC1. International Journal of Experimental Pathology. 96(4). 240–247. 67 indexed citations
14.
15.
Liu, Huanxin, Juan Peng, Yifeng Bai, & Linlang Guo. (2013). [Up-regulation of DLL1 may promote the chemotherapeutic sensitivity in small cell lung cancer].. SHILAP Revista de lepidopterología. 16(6). 282–8. 4 indexed citations
16.
Guo, Linlang. (2009). Establishment of an adriamycin multi-drug resistant human small cell lung cancer cell line and its correlationship with the expression of Bcl-2 family proteins. Shandong yiyao. 1 indexed citations
17.
Lau, Derick, Linlang Guo, Ruiwu Liu, Jan Mařı́k, & Kit S. Lam. (2006). Peptide ligands targeting integrin α3β1 in non-small cell lung cancer. Lung Cancer. 52(3). 291–297. 30 indexed citations
18.
Guo, Linlang. (2005). Activation of transcription factors NF-kappaB and AP-1 and their relations with apoptosis-associated proteins in hepatocellular carcinoma. World Journal of Gastroenterology. 11(25). 3860–3860. 14 indexed citations
19.
Guo, Linlang. (2004). Detection of bcl-2 and bax expression and bcl-2/JH fusion gene in intrahepatic cholangiocarcinoma. World Journal of Gastroenterology. 10(22). 3251–3251. 6 indexed citations
20.
Guo, Linlang, et al.. (2002). [Relationship between hepatitis C virus infection and expression of apoptosis-related gene bcl-2, bax and ICH-1 in hepatocellular carcinoma tissues].. PubMed. 22(9). 797–9, 805. 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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