Yanbin Kuang

1.6k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Yanbin Kuang is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yanbin Kuang has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 11 papers in Cancer Research and 7 papers in Molecular Biology. Recurrent topics in Yanbin Kuang's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers) and Immune cells in cancer (4 papers). Yanbin Kuang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (4 papers) and Immune cells in cancer (4 papers). Yanbin Kuang collaborates with scholars based in China, Thailand and United States. Yanbin Kuang's co-authors include Qi Wang, Shuo Ni, Xiaolin Li, Yin Yuan, Baoqing Yu, Jiong Deng, Xiaohui Du, Hui Zhao, Wenzheng Guo and Hongyong Song and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Yanbin Kuang

22 papers receiving 1.1k citations

Hit Papers

Iron Metabolism and Immune Regulation 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanbin Kuang China 15 515 326 294 270 248 24 1.1k
Bo Guo China 16 733 1.4× 191 0.6× 135 0.5× 231 0.9× 386 1.6× 52 1.4k
Jordi Berenguer Spain 15 1.2k 2.2× 618 1.9× 249 0.8× 138 0.5× 313 1.3× 25 1.6k
Cinzia Bagalá Italy 18 629 1.2× 198 0.6× 177 0.6× 251 0.9× 484 2.0× 36 1.3k
Pedro Barcellos‐de‐Souza Brazil 13 504 1.0× 258 0.8× 134 0.5× 377 1.4× 536 2.2× 14 1.1k
Anne von Mäßenhausen Germany 19 781 1.5× 305 0.9× 394 1.3× 436 1.6× 175 0.7× 25 1.3k
Patrizia Cohen United Kingdom 13 482 0.9× 330 1.0× 102 0.3× 108 0.4× 233 0.9× 29 1.1k
Subhrajit Saha United States 16 493 1.0× 175 0.5× 166 0.6× 161 0.6× 249 1.0× 37 1.1k
Julie Stockis Belgium 17 505 1.0× 142 0.4× 71 0.2× 589 2.2× 418 1.7× 21 1.3k
Orietta Gandini Italy 23 524 1.0× 552 1.7× 324 1.1× 142 0.5× 878 3.5× 56 1.7k
Junfang Yan China 18 395 0.8× 188 0.6× 119 0.4× 89 0.3× 140 0.6× 68 1.0k

Countries citing papers authored by Yanbin Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanbin Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbin Kuang. A scholar is included among the top collaborators of Yanbin Kuang 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 Yanbin Kuang. Yanbin Kuang 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.
Kuang, Yanbin, et al.. (2025). Applications of deep learning‐based resolution‐enhanced seismic data in fault identification. Geophysical Prospecting. 73(2). 523–542. 1 indexed citations
2.
Du, Xiaohui, Chi Ma, Yingyan Wang, et al.. (2025). The novelty of profilin 2 in regulating pyruvate kinase M2 nuclear translocation and promoting tumor angiogenesis in lung adenocarcinoma. Respiratory Research. 26(1). 203–203. 1 indexed citations
3.
Zhong, Zhi, Yuqi Qian, Alexander Y. Sun, et al.. (2024). Crustal-mantle layering deposits in the Von Kármán crater, South Pole-Aitken basin. Earth and Planetary Science Letters. 643. 118923–118923.
4.
Ye, Xuanting, Yan Zhou, Yanbin Kuang, et al.. (2023). Efficacy and safety analysis of anlotinib combined with PD-1 inhibitors in advanced non-small cell lung cancer: a retrospective cohort study. Journal of Thoracic Disease. 15(4). 2003–2011.
5.
Ni, Shuo, Yin Yuan, Yanbin Kuang, & Xiaolin Li. (2022). Iron Metabolism and Immune Regulation. Frontiers in Immunology. 13. 816282–816282. 149 indexed citations breakdown →
6.
Wang, Tong, Bo Jing, Dongliang Xu, et al.. (2020). PTGES/PGE2 signaling links immunosuppression and lung metastasis in Gprc5a-knockout mouse model. Oncogene. 39(15). 3179–3194. 56 indexed citations
7.
Yin, Yuan, Bo Li, Yanbin Kuang, et al.. (2020). The fiber metabolite butyrate reduces gp130 by targeting TRAF5 in colorectal cancer cells. Cancer Cell International. 20(1). 212–212. 6 indexed citations
8.
Ni, Shuo, Yanbin Kuang, Yuan Yin, & Baoqing Yu. (2020). Mitochondrion-mediated iron accumulation promotes carcinogenesis and Warburg effect through reactive oxygen species in osteosarcoma. Cancer Cell International. 20(1). 399–399. 38 indexed citations
9.
Guo, Wenzheng, Yanbin Kuang, Jingjing Wu, et al.. (2020). Hexokinase 2 Depletion Confers Sensitization to Metformin and Inhibits Glycolysis in Lung Squamous Cell Carcinoma. Frontiers in Oncology. 10. 52–52. 13 indexed citations
10.
Jing, Bo, Tong Wang, Beibei Sun, et al.. (2019). IL6/STAT3 Signaling Orchestrates Premetastatic Niche Formation and Immunosuppressive Traits in Lung. Cancer Research. 80(4). 784–797. 77 indexed citations
11.
Kuang, Yanbin, Wenzheng Guo, Ling Jing, et al.. (2019). Iron-dependent CDK1 activity promotes lung carcinogenesis via activation of the GP130/STAT3 signaling pathway. Cell Death and Disease. 10(4). 297–297. 46 indexed citations
12.
Kuang, Yanbin & Qi Wang. (2019). Iron and lung cancer. Cancer Letters. 464. 56–61. 74 indexed citations
13.
Li, Kaimi, Wenzheng Guo, Zhanming Li, et al.. (2019). ALDH2 Repression Promotes Lung Tumor Progression via Accumulated Acetaldehyde and DNA Damage. Neoplasia. 21(6). 602–614. 55 indexed citations
14.
Guo, Wenzheng, Min Hu, Jingjing Wu, et al.. (2019). Gprc5a depletion enhances the risk of smoking-induced lung tumorigenesis and mortality. Biomedicine & Pharmacotherapy. 114. 108791–108791. 12 indexed citations
15.
Wang, Tong, Kaimi Li, Hongyong Song, et al.. (2019). p53 suppression is essential for oncogenic SPAG5 upregulation in lung adenocarcinoma. Biochemical and Biophysical Research Communications. 513(2). 319–325. 20 indexed citations
16.
Guo, Zhe, Jing Song, Junxia Hao, et al.. (2019). M2 macrophages promote NSCLC metastasis by upregulating CRYAB. Cell Death and Disease. 10(6). 377–377. 105 indexed citations
17.
Hu, Min, Wenzheng Guo, Yueling Liao, et al.. (2019). Dysregulated ENPP1 increases the malignancy of human lung cancer by inducing epithelial-mesenchymal transition phenotypes and stem cell features.. PubMed. 9(1). 134–144. 32 indexed citations
18.
Wang, Tong, Bo Jing, Beibei Sun, et al.. (2019). Stabilization of PTGES by deubiquitinase USP9X promotes metastatic features of lung cancer via PGE2 signaling.. PubMed. 9(6). 1145–1160. 28 indexed citations
19.
Zhao, Hui, Jianxin Wang, Xiaodan Kong, et al.. (2016). CD47 Promotes Tumor Invasion and Metastasis in Non-small Cell Lung Cancer. Scientific Reports. 6(1). 29719–29719. 131 indexed citations
20.
Lei, Ting, et al.. (2016). A Novel Technique to Detect EGFR Mutations in Lung Cancer. International Journal of Molecular Sciences. 17(5). 792–792. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026