Bei Zhang

2.0k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Bei Zhang is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bei Zhang has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pathology and Forensic Medicine, 9 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bei Zhang's work include Spinal Cord Injury Research (7 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Mechanisms and Therapy (4 papers). Bei Zhang is often cited by papers focused on Spinal Cord Injury Research (7 papers), Genetic factors in colorectal cancer (6 papers) and Cancer Mechanisms and Therapy (4 papers). Bei Zhang collaborates with scholars based in China, United States and United Kingdom. Bei Zhang's co-authors include John C. Gensel, William M. Bailey, Deborah Szalkowski, Zhihua Li, Joel P. Berger, Karen L. MacNaul, David E. Moller, Timothy J. Kopper, Michael B. Orr and David J. Feola and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Bei Zhang

39 papers receiving 1.5k citations

Hit Papers

Macrophage activation and its role in repair and patholog... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei Zhang China 17 559 389 233 232 226 39 1.5k
Alpa Trivedi United States 21 388 0.7× 1.1k 2.8× 252 1.1× 310 1.3× 206 0.9× 45 2.3k
Han-Chung Lee Taiwan 21 201 0.4× 335 0.9× 101 0.4× 218 0.9× 147 0.7× 70 1.4k
Koichi Tabayashi Japan 28 424 0.8× 747 1.9× 75 0.3× 253 1.1× 126 0.6× 146 2.8k
Feng Ling China 23 256 0.5× 313 0.8× 153 0.7× 102 0.4× 76 0.3× 102 1.6k
Yong Cao China 29 790 1.4× 1.2k 3.1× 134 0.6× 194 0.8× 124 0.5× 107 2.5k
James E. Jordan United States 21 825 1.5× 372 1.0× 106 0.5× 60 0.3× 413 1.8× 46 2.0k
Manuel Galvan United States 15 479 0.9× 246 0.6× 344 1.5× 255 1.1× 384 1.7× 28 1.2k
Cargill H. Alleyne United States 29 214 0.4× 394 1.0× 193 0.8× 225 1.0× 91 0.4× 78 1.9k
Pasquale De Bonis Italy 32 283 0.5× 491 1.3× 78 0.3× 546 2.4× 82 0.4× 152 3.0k
Alison K. Cross United Kingdom 17 664 1.2× 290 0.7× 196 0.8× 102 0.4× 230 1.0× 30 1.4k

Countries citing papers authored by Bei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Zhang. A scholar is included among the top collaborators of Bei Zhang 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 Bei Zhang. Bei Zhang 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.
Yu, Xiaochen, Ke Sheng, Tong Fu, et al.. (2025). Apolipoprotein B100 acts as a tumor suppressor in ovarian cancer via lipid/ER stress axis-induced blockade of autophagy. Acta Pharmacologica Sinica. 46(5). 1445–1461. 2 indexed citations
2.
4.
Zhang, Bei, Zhiyao Ren, Hongmei Zheng, et al.. (2023). CRISPR activation screening in a mouse model for drivers of hepatocellular carcinoma growth and metastasis. iScience. 26(3). 106099–106099. 12 indexed citations
5.
Mo, Lili, Niwen Huang, Chao Li, et al.. (2022). 3-iodothyronamine inhibits apoptosis induced by myocardial ischemia reperfusion via the Akt/FoxO1 signaling pathway. Annals of Translational Medicine. 10(4). 168–168. 6 indexed citations
6.
Kopper, Timothy J., et al.. (2021). The effects of myelin on macrophage activation are phenotypic specific via cPLA2 in the context of spinal cord injury inflammation. Scientific Reports. 11(1). 6341–6341. 24 indexed citations
8.
Duan, Fangfang, Wenyu Zhai, Bei Zhang, & Shengjie Guo. (2020). Urachal carcinoma: Impact of recurrence pattern and lymphadenectomy on long‐term outcomes. Cancer Medicine. 9(12). 4166–4174. 16 indexed citations
9.
Li, Jiang, Pengfei Li, Qi Quan, et al.. (2019). Cutaneous extranodal natural killer (NK) / T - cell lymphoma: A comprehensive clinical features and outcomes analysis of 71 cases. Leukemia Research. 88. 106284–106284. 6 indexed citations
10.
Li, Xiaojin, et al.. (2018). Novel role of apatinib as a multi-target RTK inhibitor in the direct suppression of hepatocellular carcinoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(5). 1693–1701. 20 indexed citations
11.
Zhu, Guodong, Shi Ouyang, Rui Zhou, et al.. (2018). BACH1 promotes the progression of human colorectal cancer through BACH1/CXCR4 pathway. Biochemical and Biophysical Research Communications. 499(2). 120–127. 35 indexed citations
12.
Zhang, Bei, Yongquan Shi, Junjie Zou, et al.. (2017). KATP channels in high glucose-induced rat mesangial cell proliferation and release of MMP-2 and fibronectin. Experimental and Therapeutic Medicine. 14(1). 135–140. 3 indexed citations
13.
Zhang, Bei, et al.. (2015). Age decreases macrophage IL-10 expression: Implications for functional recovery and tissue repair in spinal cord injury. Experimental Neurology. 273. 83–91. 101 indexed citations
14.
Zhang, Bei, William M. Bailey, Timothy J. Kopper, et al.. (2015). Azithromycin drives alternative macrophage activation and improves recovery and tissue sparing in contusion spinal cord injury. Journal of Neuroinflammation. 12(1). 218–218. 79 indexed citations
16.
Sun, Yuping, Bei Zhang, Lei Miao, et al.. (2015). Association of apolipoprotein E (ApoE) polymorphisms with risk of primary hyperuricemia in Uygur men, Xinjiang, China. Lipids in Health and Disease. 14(1). 25–25. 9 indexed citations
17.
Gensel, John C. & Bei Zhang. (2015). Macrophage activation and its role in repair and pathology after spinal cord injury. Brain Research. 1619. 1–11. 601 indexed citations breakdown →
18.
Yan, Zheng, et al.. (2013). Nasopharyngeal carcinoma in children and adolescents in an endemic area: A report of 185 cases. International Journal of Pediatric Otorhinolaryngology. 77(9). 1454–1460. 22 indexed citations
19.
Zhang, Bei, Karen L. MacNaul, Deborah Szalkowski, et al.. (1999). Inhibition of Adipocyte Differentiation by HIV Protease Inhibitors. The Journal of Clinical Endocrinology & Metabolism. 84(11). 4274–4277. 134 indexed citations
20.
Zhang, Bei, Michael P. Graziano, Thomas W. Doebber, et al.. (1996). Down-regulation of the Expression of the Obese Gene by an Antidiabetic Thiazolidinedione in Zucker Diabetic Fatty Rats and db/db Mice. Journal of Biological Chemistry. 271(16). 9455–9459. 161 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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