Beihai Jiang

1.5k total citations
58 papers, 1.2k citations indexed

About

Beihai Jiang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Beihai Jiang has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 26 papers in Molecular Biology and 22 papers in Cancer Research. Recurrent topics in Beihai Jiang's work include Genetic factors in colorectal cancer (12 papers), Cancer Genomics and Diagnostics (10 papers) and Colorectal Cancer Treatments and Studies (9 papers). Beihai Jiang is often cited by papers focused on Genetic factors in colorectal cancer (12 papers), Cancer Genomics and Diagnostics (10 papers) and Colorectal Cancer Treatments and Studies (9 papers). Beihai Jiang collaborates with scholars based in China, Ethiopia and Australia. Beihai Jiang's co-authors include Xiangqian Su, Chengchao Shou, Zaozao Wang, Jiabo Di, Jian Wu, Like Qu, Lin Meng, Jiadi Xing, Bin Dong and Jianzhi Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Beihai Jiang

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beihai Jiang China 21 720 426 312 204 149 58 1.2k
Maddalena Arigoni Italy 24 789 1.1× 267 0.6× 431 1.4× 201 1.0× 305 2.0× 65 1.4k
Sumit Agarwal United States 21 721 1.0× 242 0.6× 255 0.8× 132 0.6× 152 1.0× 40 969
Doris A. Phelps United States 20 832 1.2× 362 0.8× 197 0.6× 236 1.2× 97 0.7× 36 1.3k
Zachary L. Skidmore United States 13 459 0.6× 299 0.7× 230 0.7× 241 1.2× 188 1.3× 36 971
Sally‐Anne Stephenson Australia 19 687 1.0× 222 0.5× 249 0.8× 130 0.6× 89 0.6× 34 1.3k
Daniel Zingg Switzerland 18 1.0k 1.4× 473 1.1× 257 0.8× 119 0.6× 359 2.4× 33 1.6k
Victoria J. Heath United Kingdom 8 690 1.0× 645 1.5× 264 0.8× 93 0.5× 127 0.9× 10 1.2k
Lina Cekaite Norway 15 749 1.0× 152 0.4× 400 1.3× 91 0.4× 146 1.0× 19 944
Zhongyi Yan China 19 729 1.0× 269 0.6× 432 1.4× 246 1.2× 200 1.3× 43 1.1k

Countries citing papers authored by Beihai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Beihai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beihai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Beihai Jiang. A scholar is included among the top collaborators of Beihai Jiang 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 Beihai Jiang. Beihai Jiang 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.
Yang, Xinying, Yan Ran, Hong Yang, et al.. (2025). MTCH2 Deficiency Promotes E2F4/TFRC‐Mediated Ferroptosis and Sensitizes Colorectal Cancer Liver Metastasis to Sorafenib. Advanced Science. 12(36). e00019–e00019.
2.
Zhao, Min, Zaozao Wang, Jiabo Di, et al.. (2023). WFDC3 inhibits tumor metastasis by promoting the ERβ-mediated transcriptional repression of TGFBR1 in colorectal cancer. Cell Death and Disease. 14(7). 425–425. 11 indexed citations
3.
Qi, Xinyu, Tianqi Liu, Xinying Yang, et al.. (2023). Tandem Mass Tag-Based Proteomic Profiling Identifies Biomarkers in Drainage Fluid for Early Detection of Anastomotic Leakage after Rectal Cancer Resection. Journal of Proteome Research. 22(11). 3559–3569.
4.
Zhao, Min, Zaozao Wang, Jiabo Di, et al.. (2022). A stop-gain mutation in GXYLT1 promotes metastasis of colorectal cancer via the MAPK pathway. Cell Death and Disease. 13(4). 395–395. 8 indexed citations
6.
Wang, Zaozao, Bin Kang, Qianqian Gao, et al.. (2021). Quadruple‐editing of the MAPK and PI3K pathways effectively blocks the progression of KRAS‐mutated colorectal cancer cells. Cancer Science. 112(9). 3895–3910. 8 indexed citations
7.
Liu, Yining, Lei Chen, Tianqi Liu, et al.. (2021). Genome-wide circular RNA (circRNA) and mRNA profiling identify a circMET-miR-410-3p regulatory motif for cell growth in colorectal cancer. Genomics. 114(1). 351–360. 12 indexed citations
8.
Wu, Fan, Pin Gao, Wei Wu, et al.. (2018). STK25-induced inhibition of aerobic glycolysis via GOLPH3-mTOR pathway suppresses cell proliferation in colorectal cancer. Journal of Experimental & Clinical Cancer Research. 37(1). 144–144. 29 indexed citations
9.
Liu, Mingshan, Yang Liu, Jiabo Di, et al.. (2017). Multi-region and single-cell sequencing reveal variable genomic heterogeneity in rectal cancer. BMC Cancer. 17(1). 787–787. 30 indexed citations
10.
Jiang, Beihai, Aidong Wang, Jiabo Di, et al.. (2015). GATA2 rs2335052 Polymorphism Predicts the Survival of Patients with Colorectal Cancer. PLoS ONE. 10(8). e0136020–e0136020. 9 indexed citations
11.
Cui, Ming, Ziyu Li, Jiadi Xing, et al.. (2015). A prospective randomized clinical trial comparing D2 dissection in laparoscopic and open gastrectomy for gastric cancer. Medical Oncology. 32(10). 241–241. 42 indexed citations
12.
Liu, Maoxing, Hong Qu, Zhaode Bu, et al.. (2015). Validation of the Memorial Sloan-Kettering Cancer Center Nomogram to Predict Overall Survival After Curative Colectomy in a Chinese Colon Cancer Population. Annals of Surgical Oncology. 22(12). 3881–3887. 15 indexed citations
13.
Cui, Ming, Beihai Jiang, Zhendan Yao, et al.. (2015). Evaluation of immune responses of gastric cancer patients treated by laparoscopic and open gastrectomy. Medical Oncology. 32(11). 253–253. 12 indexed citations
14.
Wang, Zaozao, Beihai Jiang, Jiabo Di, et al.. (2014). GOLPH3 predicts survival of colorectal cancer patients treated with 5-fluorouracil-based adjuvant chemotherapy. Journal of Translational Medicine. 12(1). 15–15. 30 indexed citations
15.
Lv, Jing, Huiying Huang, Lin Meng, et al.. (2013). Suppression of breast tumor growth by DNA vaccination against phosphatase of regenerating liver 3. Gene Therapy. 20(8). 834–845. 10 indexed citations
16.
Zeng, Yan, Caiyun Liu, Bin Dong, et al.. (2013). Inverse correlation between Naa10p and MMP-9 expression and the combined prognostic value in breast cancer patients. Medical Oncology. 30(2). 562–562. 18 indexed citations
17.
Jiang, Beihai, Tingting Ren, Bin Dong, et al.. (2010). Peptide Mimic Isolated by Autoantibody Reveals Human Arrest Defective 1 Overexpression Is Associated with Poor Prognosis for Colon Cancer Patients. American Journal Of Pathology. 177(3). 1095–1103. 33 indexed citations
18.
Ren, Tingting, Beihai Jiang, Xiaofang Xing, et al.. (2009). Prognostic Significance of Phosphatase of Regenerating Liver-3 Expression in Ovarian Cancer. Pathology & Oncology Research. 15(4). 555–560. 49 indexed citations
19.
Guo, Jianping, Chengchao Shou, Meng Lin, et al.. (2007). Neuronal protein synuclein γ predicts poor clinical outcome in breast cancer. International Journal of Cancer. 121(6). 1296–1305. 51 indexed citations
20.
Liu, Wenbin, et al.. (2005). Lipoprotein p37 from Mycoplasma hyorhinis inhibiting mammalian cell adhesion. Journal of Biomedical Science. 13(3). 323–331. 9 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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