Zhen Cai

9.7k total citations · 2 hit papers
308 papers, 5.8k citations indexed

About

Zhen Cai is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Zhen Cai has authored 308 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 119 papers in Hematology and 91 papers in Oncology. Recurrent topics in Zhen Cai's work include Multiple Myeloma Research and Treatments (72 papers), Protein Degradation and Inhibitors (28 papers) and Acute Myeloid Leukemia Research (25 papers). Zhen Cai is often cited by papers focused on Multiple Myeloma Research and Treatments (72 papers), Protein Degradation and Inhibitors (28 papers) and Acute Myeloid Leukemia Research (25 papers). Zhen Cai collaborates with scholars based in China, United States and Hong Kong. Zhen Cai's co-authors include Jingsong He, Yin Li, Enfan Zhang, Haimeng Yan, Qing Yi, Jianwei Qu, He Huang, Wen Cao, Donghua He and Huiyao Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Zhen Cai

272 papers receiving 5.7k citations

Hit Papers

Metabolic reprogramming in macrophage responses 2021 2026 2022 2024 2021 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen Cai China 40 2.9k 1.4k 1.3k 1.3k 664 308 5.8k
Fan Dong China 46 2.1k 0.7× 1.5k 1.0× 736 0.6× 1.4k 1.1× 890 1.3× 172 6.3k
Martina Rauner Germany 48 3.5k 1.2× 1.9k 1.3× 511 0.4× 917 0.7× 985 1.5× 240 7.3k
Floris P. J. G. Lafeber Netherlands 56 1.8k 0.6× 753 0.5× 1.4k 1.1× 1.9k 1.5× 576 0.9× 196 11.3k
Marie Follo Germany 39 1.9k 0.7× 822 0.6× 604 0.5× 773 0.6× 591 0.9× 161 4.7k
Seyed H. Ghaffari Iran 36 3.7k 1.3× 872 0.6× 810 0.6× 1.0k 0.8× 1.6k 2.4× 205 6.5k
Peter Petzelbauer Austria 45 2.0k 0.7× 1.4k 1.0× 457 0.3× 1.8k 1.5× 537 0.8× 146 6.1k
Bing Liu China 39 1.9k 0.7× 1.3k 0.9× 388 0.3× 1.3k 1.0× 729 1.1× 224 5.1k
Raimund W. Kinne Germany 38 1.8k 0.6× 992 0.7× 469 0.4× 1.4k 1.1× 765 1.2× 129 6.1k
Shinya Kimura Japan 45 2.6k 0.9× 2.1k 1.4× 2.1k 1.6× 998 0.8× 683 1.0× 427 7.1k
Kai Cao China 40 1.2k 0.4× 1.2k 0.8× 720 0.5× 2.0k 1.6× 398 0.6× 196 5.9k

Countries citing papers authored by Zhen Cai

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Cai. A scholar is included among the top collaborators of Zhen Cai 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 Zhen Cai. Zhen Cai 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.
Lai, Xiaoyu, Lizhen Liu, Panpan Zhu, et al.. (2025). KRAS mutation status critically determines the clinical outcome of patients with KMT2A‐rearranged acute myeloid leukemia. Cancer. 131(13). e35941–e35941.
2.
Fang, Hao, et al.. (2025). Prognostic Significance of Neutrophil‐to‐Lymphocyte Ratio in Melanoma: A Systematic Review and Meta‐Analysis. Journal of Surgical Oncology. 132(3). 456–464.
3.
Kong, Xianwang, et al.. (2024). Impact of p-cresol on hydrogen sulfide and ammonia treatment by biotrickling filter and the production of nitrous oxide. Chemosphere. 361. 142568–142568. 1 indexed citations
4.
Zhu, Panpan, Jimin Shi, Lizhen Liu, et al.. (2024). Graft CD8 T‐cell‐based risk system predicts survival in antithymocyte globulin‐based myeloablative haploidentical peripheral blood stem cell transplantation. Clinical & Translational Immunology. 13(1). e1484–e1484.
5.
Jiang, Bingqian, Yanmin Zhao, Yi Luo, et al.. (2024). Outcomes of Allogeneic Hematopoietic Stem Cell Transplantation in Adult Patients With Acute Myeloid Leukemia Harboring KMT2A Rearrangement and Its Prognostic Factors. Cell Transplantation. 33. 4231283677–4231283677. 4 indexed citations
6.
Zhu, Panpan, Xiaoyu Lai, Lizhen Liu, et al.. (2024). Impact of myelofibrosis on patients with myelodysplastic syndromes following allogeneic hematopoietic stem cell transplantation. Journal of Translational Medicine. 22(1). 275–275. 1 indexed citations
7.
Yang, Yang, Jingsong He, Gaofeng Zheng, et al.. (2024). Study on the Molecular Genetic Characteristics of Multiple Myeloma Patients in China. Blood. 144(Supplement 1). 6816–6816. 1 indexed citations
9.
Chen, Jing, Wen Cao, Xi Huang, et al.. (2023). TRIM21 enhances bortezomib sensitivity in multiple myeloma by halting prosurvival autophagy. Blood Advances. 7(19). 5752–5770. 12 indexed citations
10.
Liu, Zhijun, et al.. (2023). Preconditioned numerical manifold method for linear elastic fractures. Computer Methods in Applied Mechanics and Engineering. 406. 115911–115911. 24 indexed citations
11.
Jiang, Wei, Kai Zhang, Xing Huang, et al.. (2023). Influence of clamping pressure on contact pressure uniformity and electrical output performance of proton exchange membrane fuel cell. Applied Energy. 353. 122021–122021. 20 indexed citations
12.
Lai, Xiaoyu, Jimin Shi, Lizhen Liu, et al.. (2023). A novel risk model for predicting early relapse in acute myeloid leukemia patients undergoing allogeneic hematopoietic stem-cell transplantation. Bone Marrow Transplantation. 58(7). 801–810. 2 indexed citations
14.
Wu, Xiuhua, Yang Liu, Enfan Zhang, et al.. (2020). Dihydroartemisinin Modulates Apoptosis and Autophagy in Multiple Myeloma through the P38/MAPK and Wnt/β-Catenin Signaling Pathways. Oxidative Medicine and Cellular Longevity. 2020. 1–12. 35 indexed citations
15.
He, Donghua, Xing Guo, Enfan Zhang, et al.. (2016). Quercetin induces cell apoptosis of myeloma and displays a synergistic effect with dexamethasone in vitro and in vivo xenograft models. Oncotarget. 7(29). 45489–45499. 30 indexed citations
16.
Luo, Yi, Haowen Xiao, Xiaoyu Lai, et al.. (2014). T-cell-replete haploidentical HSCT with low-dose anti-T-lymphocyte globulin compared with matched sibling HSCT and unrelated HSCT. Blood. 124(17). 2735–2743. 139 indexed citations
17.
Cai, Zhen. (2013). Distribution and antibiotic resistance analysis of 1602 pathogen isolated from blood. 1 indexed citations
18.
Cai, Zhen. (2013). Large-Scale Production of Recombinant Plasmid pVAX1-PENK. Letters in Biotechnology. 2 indexed citations
19.
Cai, Zhen. (2013). Is Androgyny Better than Masculinity——The Influence of Gender Role on College Students' Self-Worth. Journal of Southwest China Normal University. 1 indexed citations
20.
He, Jin, Zhiqiang Liu, Yuhuan Zheng, et al.. (2012). p38 MAPK in Myeloma Cells Regulates Osteoclast and Osteoblast Activity and Induces Bone Destruction. Cancer Research. 72(24). 6393–6402. 69 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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