Bangshun He

4.2k total citations · 1 hit paper
92 papers, 2.6k citations indexed

About

Bangshun He is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Bangshun He has authored 92 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Oncology and 20 papers in Surgery. Recurrent topics in Bangshun He's work include Helicobacter pylori-related gastroenterology studies (14 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Inflammatory Biomarkers in Disease Prognosis (8 papers). Bangshun He is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (14 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Inflammatory Biomarkers in Disease Prognosis (8 papers). Bangshun He collaborates with scholars based in China, United States and Uganda. Bangshun He's co-authors include Yuqin Pan, Shukui Wang, Huiling Sun, Shukui Wang, Hou‐Qun Ying, Qiwen Deng, Tao Xu, Xian Liu, Zhenyu Zhang and Bei Pan and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Bangshun He

87 papers receiving 2.6k citations

Hit Papers

METTL14-mediated N6-methyladenosine modification of SOX4 ... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. METTL14-mediated N6-methyladenosine modification of SOX4 mRNA inhibits tumor metastasis in colorectal cancer
    2020 280 citations Xiaoxiang Chen, Kaixuan Zeng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bangshun He China 23 1.0k 952 683 451 426 92 2.6k
Lin Xia China 28 1.5k 1.4× 615 0.6× 1.1k 1.6× 320 0.7× 279 0.7× 84 2.8k
Bin Sun China 31 1.1k 1.1× 707 0.7× 729 1.1× 299 0.7× 293 0.7× 94 3.0k
Zhi Yang China 30 1.6k 1.6× 832 0.9× 891 1.3× 310 0.7× 306 0.7× 113 3.0k
Gaosong Wu China 27 1.0k 1.0× 479 0.5× 516 0.8× 447 1.0× 317 0.7× 118 2.2k
Bing Xu China 31 1.5k 1.5× 693 0.7× 482 0.7× 220 0.5× 452 1.1× 192 3.1k
Chuanrui Xu China 23 1.0k 1.0× 542 0.6× 478 0.7× 552 1.2× 168 0.4× 53 2.3k
Yiming Zhao China 31 1.4k 1.3× 660 0.7× 679 1.0× 306 0.7× 545 1.3× 102 2.9k

Countries citing papers authored by Bangshun He

Since Specialization
Citations

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

Fields of papers citing papers by Bangshun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bangshun He

This figure shows the co-authorship network connecting the top 25 collaborators of Bangshun He. A scholar is included among the top collaborators of Bangshun He 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 Bangshun He. Bangshun He 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
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2.
Qin, Shurong, Qi Wang, Zhuangwei Zhang, et al.. (2025). Metabolic Hijacking by Engineered Probiotics Reprograms Tumor Metabolism and Immune Microenvironment for Self-Reinforcing Photodynamic Immunotherapy. Journal of the American Chemical Society. 147(42). 38180–38194.
3.
Li, Jingjing, Wen Bi, Yanfeng Gao, et al.. (2024). Bacteria proliferation-mediated cascade amplification for visually ultrasensitive detection of extracellular vesicles. Sensors and Actuators B Chemical. 408. 135526–135526. 5 indexed citations
4.
Chen, Ruiyue, Qianglan Lu, Fei Zeng, et al.. (2024). A bioorthogonal probiotic platform spatiotemporally releases nanobodies in deep tumor for cancer chemoimmunotherapy. Materials Today. 80. 262–275. 3 indexed citations
5.
Bi, Wen, et al.. (2024). EGR3 Polymorphism Is a Potential Susceptibility Factor of Schizophrenia Risk in a Chinese Population. Genetic Testing and Molecular Biomarkers. 28(4). 144–150.
6.
Wang, Yuzhen, Yanping Wang, Fei Zeng, et al.. (2024). A portable microfluidic platform for ultra-sensitive detection of ovarian cancer biomarkers via cascade signal amplification. Chemical Engineering Journal. 503. 158289–158289. 2 indexed citations
7.
Liu, Yanghe, Xinyi Yang, Ping Tai, et al.. (2024). Rapid visual detection of Helicobacter pylori and vacA subtypes by Dual-Target RAA-LFD assay. Clinica Chimica Acta. 564. 119927–119927. 3 indexed citations
8.
Wang, Ying, et al.. (2024). Association Between Polymorphisms in DNA Damage Repair Pathway Genes and Female Breast Cancer Risk. DNA and Cell Biology. 43(5). 219–231. 2 indexed citations
9.
Gao, Yanfeng, Yanping Wang, Bangshun He, et al.. (2023). An Enzyme‐Loaded Metal–Organic Framework‐Assisted Microfluidic Platform Enables Single‐Cell Metabolite Analysis. Angewandte Chemie. 135(31). 5 indexed citations
10.
Wang, Ying, et al.. (2023). The prognostic values of FOXP3+ tumor-infiltrating T cells in breast cancer: a systematic review and meta-analysis. Clinical & Translational Oncology. 25(6). 1830–1843. 8 indexed citations
11.
Gao, Yanfeng, Dongtao Zhou, Qin Xu, et al.. (2023). Metal–Organic Framework-Mediated Bioorthogonal Reaction to Immobilize Bacteria for Ultrasensitive Fluorescence Counting Immunoassays. ACS Applied Materials & Interfaces. 15(4). 5010–5018. 15 indexed citations
12.
13.
Lü, Fang, et al.. (2023). The Diagnostic and Prognostic Value of miR-155 in Cancers: An Updated Meta-analysis. Molecular Diagnosis & Therapy. 27(3). 283–301. 20 indexed citations
14.
Li, Jingjing, Wen Bi, Fang Lü, et al.. (2023). Prognostic role of E2F1 gene expression in human cancer: a meta-analysis. BMC Cancer. 23(1). 509–509. 7 indexed citations
15.
Lu, Qianglan, Ruiyue Chen, Chao Chen, et al.. (2022). Activation of the cGAS-STING pathway combined with CRISPR-Cas9 gene editing triggering long-term immunotherapy. Biomaterials. 291. 121871–121871. 56 indexed citations
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17.
He, Bangshun, Tao Xu, Yuqin Pan, et al.. (2016). Nucleotide excision repair pathway gene polymorphisms are linked to breast cancer risk in a Chinese population. Oncotarget. 7(51). 84872–84882. 25 indexed citations
18.
Pan, Yuqin, et al.. (2015). The molecular mechanism underlying the induction of hepatic MRP3 expression and function by omeprazole. Biopharmaceutics & Drug Disposition. 36(4). 232–244. 6 indexed citations
19.
Deng, Qiwen, Bangshun He, Xian Liu, et al.. (2015). Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model. Journal of Translational Medicine. 13(1). 66–66. 167 indexed citations
20.
He, Bangshun, Yuqin Pan, Yeqiong Xu, et al.. (2011). Increased Risk for Gastric Cancer in Carriers of the Lymphotoxin-α+252G Variant Infected by Helicobacter pylori. Genetic Testing and Molecular Biomarkers. 16(1). 9–14. 13 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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