Feng Zhu

1.5k total citations
63 papers, 595 citations indexed

About

Feng Zhu is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Feng Zhu has authored 63 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 19 papers in Immunology and 14 papers in Oncology. Recurrent topics in Feng Zhu's work include CAR-T cell therapy research (9 papers), Platelet Disorders and Treatments (8 papers) and Immune Cell Function and Interaction (8 papers). Feng Zhu is often cited by papers focused on CAR-T cell therapy research (9 papers), Platelet Disorders and Treatments (8 papers) and Immune Cell Function and Interaction (8 papers). Feng Zhu collaborates with scholars based in China, United States and Bangladesh. Feng Zhu's co-authors include Kailin Xu, Lingyu Zeng, Jianlin Qiao, Jing Xiong, Jiang Cao, Depeng Li, Hai Cheng, Wei Sang, Zhiling Yan and Shelby P. Umland and has published in prestigious journals such as Blood, Scientific Reports and Genome biology.

In The Last Decade

Feng Zhu

56 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Zhu China 13 235 173 123 106 79 63 595
Junaid Ansari United States 13 336 1.4× 142 0.8× 83 0.7× 91 0.9× 45 0.6× 27 697
Flavia Sunzini Italy 11 115 0.5× 194 1.1× 97 0.8× 64 0.6× 41 0.5× 17 576
Misako Shibakura Japan 14 170 0.7× 67 0.4× 107 0.9× 78 0.7× 62 0.8× 27 461
Brian Estevez United States 10 212 0.9× 155 0.9× 305 2.5× 64 0.6× 21 0.3× 13 782
Liza U. Ljungberg Sweden 11 169 0.7× 137 0.8× 56 0.5× 91 0.9× 18 0.2× 29 593
Kenji Sakakibara Japan 17 257 1.1× 75 0.4× 87 0.7× 79 0.7× 22 0.3× 51 771
Purvi Mehrotra United States 17 195 0.8× 247 1.4× 28 0.2× 204 1.9× 65 0.8× 21 734
Terukazu Tanaka Japan 14 184 0.8× 95 0.5× 92 0.7× 144 1.4× 42 0.5× 50 554
Lin Tang China 17 273 1.2× 74 0.4× 48 0.4× 115 1.1× 68 0.9× 68 675
Masao Shingu Japan 16 160 0.7× 271 1.6× 88 0.7× 56 0.5× 43 0.5× 25 725

Countries citing papers authored by Feng Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhu. A scholar is included among the top collaborators of Feng Zhu 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 Feng Zhu. Feng Zhu 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.
Zhu, Feng, et al.. (2024). Global burden of stroke attributable to high systolic blood pressure in 204 countries and territories, 1990–2019. Frontiers in Cardiovascular Medicine. 11. 1339910–1339910. 5 indexed citations
2.
Liu, Yang, Nian Li, Ying Wang, et al.. (2023). A combination of pre-infusion serum ferritin, CRP and IL-6 predicts outcome in relapsed/refractory multiple myeloma patients treated with CAR-T cells. Frontiers in Immunology. 14. 1169071–1169071. 17 indexed citations
3.
Deng, Manman, Ziying Fan, Lan V. Pham, et al.. (2023). The synergy of the XPO1 inhibitors combined with the BET inhibitor INCB057643 in high-grade B-cell lymphoma via downregulation of MYC expression. Scientific Reports. 13(1). 18554–18554. 4 indexed citations
4.
Wang, Xue, Hujun Li, Jiang Cao, et al.. (2022). Impact of glucocorticoids on short-term and long-term outcomes in patients with relapsed/refractory multiple myeloma treated with CAR-T therapy. Frontiers in Immunology. 13. 943004–943004. 9 indexed citations
5.
Zhu, Shengyun, Jing Liang, Feng Zhu, et al.. (2021). The effects of myeloablative or non-myeloablative total body irradiations on intestinal tract in mice. Bioscience Reports. 41(3). 9 indexed citations
6.
Sang, Wei, Kailin Xu, Linyan Xu, et al.. (2021). The Acetyltransferase KAT5 Inhibitor NU 9056 Promotes Apoptosis and Inhibits JAK2/STAT3 Pathway in Extranodal NK/T Cell Lymphoma. Anti-Cancer Agents in Medicinal Chemistry. 22(8). 1530–1540. 4 indexed citations
7.
8.
Wang, Yingjun, Zijun Y. Xu‐Monette, Sheeba K. Thomas, et al.. (2021). Molecular and genetic biomarkers implemented from next-generation sequencing provide treatment insights in clinical practice for Waldenström macroglobulinemia. Neoplasia. 23(4). 361–374. 19 indexed citations
9.
Chen, Wei, Yan Xu, Wentong Guo, et al.. (2021). Caspase-1 inhibition ameliorates murine acute graft versus host disease by modulating the Th1/Th17/Treg balance. International Immunopharmacology. 94. 107503–107503. 5 indexed citations
10.
Xu, Linyan, Xiang Gao, Yang Pu, et al.. (2020). EHMT2 inhibitor BIX-01294 induces endoplasmic reticulum stress mediated apoptosis and autophagy in diffuse large B-cell lymphoma cells. Journal of Cancer. 12(4). 1011–1022. 8 indexed citations
11.
Zhu, Feng, Tingting Qiu, Shengyun Zhu, et al.. (2020). TIRC7 inhibits Th1�cells by upregulating the expression of CTLA‑4 and STAT3 in mice with acute graft‑versus‑host disease. Oncology Reports. 44(1). 43–54. 4 indexed citations
12.
Xu, Linyan, Jun Jiao, Ziyuan Shen, et al.. (2020). Cladribine Induces ATF4 Mediated Apoptosis and Synergizes with SAHA in Diffuse Large B-Cell Lymphoma Cells. International Journal of Medical Sciences. 17(10). 1375–1384. 11 indexed citations
13.
14.
Luo, Qi, Xiaoqing Wu, Kai Tang, et al.. (2018). Platycodin D inhibits platelet function and thrombus formation through inducing internalization of platelet glycoprotein receptors. Journal of Translational Medicine. 16(1). 311–311. 22 indexed citations
15.
Sang, Wei, Cai Sun, Cong Zhang, et al.. (2016). MicroRNA-150 negatively regulates the function of CD4+ T cells through AKT3/Bim signaling pathway. Cellular Immunology. 306-307. 35–40. 29 indexed citations
16.
Niu, Mingshan, Xiaoyu Xu, Yao Yao, et al.. (2015). Piperlongumine is a novel nuclear export inhibitor with potent anticancer activity. Chemico-Biological Interactions. 237. 66–72. 40 indexed citations
17.
Zhu, Feng, Jianlin Qiao, Xiaomin Zhong, et al.. (2015). Antithymocyte globulin combined with cyclosporine A down-regulates T helper 1 cells by modulating T cell immune response cDNA 7 in aplastic anemia. Medical Oncology. 32(7). 197–197. 4 indexed citations
18.
Chen, Wei, Zhiling Yan, Hai Cheng, et al.. (2014). Co-transplantation of Hematopoietic Stem Cells and Cxcr4 Gene-Transduced Mesenchymal Stem Cells Promotes Hematopoiesis. Cell Biochemistry and Biophysics. 71(3). 1579–1587. 11 indexed citations
19.
Zhu, Feng, Jianlin Qiao, Qingyun Wu, et al.. (2014). Elevated levels of T-cell immune response cDNA 7 in patients with immune thrombocytopenia. Hematology. 19(8). 477–482. 6 indexed citations
20.
Xiong, Liang, et al.. (2005). Analysis of down's syndrome screening and antenatal diagnosis of 3195 cases in the middle period of pregnancy. Zhongguo xiandai yixue/Zhongguo xiandai yixue zazhi. 15(20). 2 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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