Zhenya Hong

1.8k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Zhenya Hong is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Zhenya Hong has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 19 papers in Molecular Biology and 14 papers in Hematology. Recurrent topics in Zhenya Hong's work include CAR-T cell therapy research (14 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Zhenya Hong is often cited by papers focused on CAR-T cell therapy research (14 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Zhenya Hong collaborates with scholars based in China and United States. Zhenya Hong's co-authors include Liangliang Wang, Zhiqiang Han, Zhiqiang Han, Ding Ma, Cong Zhang, Jianfeng Zhou, Meng Li, Zhaonian Hao, Ruyuan Li and Min Xiao and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhenya Hong

44 papers receiving 1.1k citations

Hit Papers

Immune checkpoint therapy for solid tumours: clinical dil... 2023 2026 2024 2025 2023 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
Zhenya Hong China 18 689 495 315 150 145 48 1.1k
Luigia Stefania Stucci Italy 21 759 1.1× 642 1.3× 482 1.5× 112 0.7× 50 0.3× 46 1.5k
Binje Vick Germany 16 471 0.7× 540 1.1× 314 1.0× 67 0.4× 248 1.7× 32 1.1k
Geoffroy Andrieux Germany 18 354 0.5× 665 1.3× 197 0.6× 78 0.5× 77 0.5× 65 1.2k
Yanjie He China 16 317 0.5× 384 0.8× 270 0.9× 108 0.7× 128 0.9× 47 816
Byung‐Gyu Kim United States 15 517 0.8× 711 1.4× 428 1.4× 40 0.3× 87 0.6× 27 1.4k
Jos de Graaf Germany 11 666 1.0× 545 1.1× 809 2.6× 63 0.4× 98 0.7× 14 1.4k
Nona Janikashvili France 18 491 0.7× 287 0.6× 939 3.0× 99 0.7× 222 1.5× 35 1.5k
Akira Iizuka Japan 19 466 0.7× 403 0.8× 481 1.5× 63 0.4× 49 0.3× 66 1.0k
Wenlin Du Japan 19 320 0.5× 554 1.1× 258 0.8× 54 0.4× 90 0.6× 36 1.1k
Shun He United States 15 653 0.9× 590 1.2× 667 2.1× 66 0.4× 165 1.1× 25 1.5k

Countries citing papers authored by Zhenya Hong

Since Specialization
Citations

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

Fields of papers citing papers by Zhenya Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenya Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenya Hong. A scholar is included among the top collaborators of Zhenya Hong 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 Zhenya Hong. Zhenya Hong 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.
Hong, Zhenya, et al.. (2025). Lactylation in cancer biology: Unlocking new avenues for research and therapy. Cancer Communications. 45(11). 1367–1406. 5 indexed citations
3.
Xu, Hao, Min Xiao, Yang Cao, et al.. (2024). Combination of chidamide and PD-1 blockade in Refractory/Relapsed aggressive large B-cell lymphomas with high risk of failing CAR-T therapy. International Immunopharmacology. 133. 112014–112014. 3 indexed citations
4.
Chen, Liting, Meng Jiao, Fang Zhao, et al.. (2023). Efficient 3D imaging and pathological analysis of the human lymphoma tumor microenvironment using light-sheet immunofluorescence microscopy. Theranostics. 14(1). 406–419. 2 indexed citations
5.
Zhu, Da, et al.. (2023). Effectiveness and safety of nab-paclitaxel and platinum as first-line chemotherapy for ovarian cancer: a retrospective study. Journal of Gynecologic Oncology. 34(4). e44–e44. 6 indexed citations
6.
Xu, Peng, Zhenya Hong, Liangliang Wang, et al.. (2023). Superresolution Fluorescence Microscopy of Platelet Subcellular Structures as a Potential Tumor Liquid Biopsy. Small Methods. 7(10). e2300445–e2300445. 10 indexed citations
7.
Hong, Zhenya, et al.. (2023). Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends. Signal Transduction and Targeted Therapy. 8(1). 320–320. 319 indexed citations breakdown →
8.
Shen, Ke, Meilan Zhang, Jiachen Wang, et al.. (2022). Inherited heterozygous Fanconi anemia gene mutations in a therapy-related CMML patient with a rare NUP98-HOXC11 fusion: A case report. Frontiers in Oncology. 12. 1036511–1036511.
9.
Li, Shuangying, Liangliang Wang, Yuanyuan Wang, et al.. (2022). The synthetic lethality of targeting cell cycle checkpoints and PARPs in cancer treatment. Journal of Hematology & Oncology. 15(1). 147–147. 76 indexed citations
10.
Hao, Zhaonian, Ruyuan Li, Yuanyuan Wang, et al.. (2021). Landscape of Myeloid-derived Suppressor Cell in Tumor Immunotherapy. Biomarker Research. 9(1). 77–77. 65 indexed citations
11.
Zhou, Hao, Wei Liu, Yongming Zhou, et al.. (2021). Therapeutic inhibition of GAS6-AS1/YBX1/MYC axis suppresses cell propagation and disease progression of acute myeloid leukemia. Journal of Experimental & Clinical Cancer Research. 40(1). 353–353. 20 indexed citations
12.
Han, Jian, Lu Liu, Meng Li, et al.. (2021). Effect of Polymorphisms of ABCB1 and MTHFR on Methotrexate-Related Toxicities in Adults With Hematological Malignancies. Frontiers in Oncology. 11. 759805–759805. 10 indexed citations
13.
Hong, Zhenya, Gamze B. Bulut, Wei Zhuang, et al.. (2020). MEKK3-MEK5-ERK5 signaling promotes mitochondrial degradation. Cell Death Discovery. 6(1). 107–107. 6 indexed citations
14.
Hao, Zhaonian, Ruyuan Li, Meng Li, Zhiqiang Han, & Zhenya Hong. (2020). Macrophage, the potential key mediator in CAR-T related CRS. Experimental Hematology and Oncology. 9(1). 15–15. 75 indexed citations
15.
Lou, Yaoyao, Caixia Chen, Xiaolu Long, et al.. (2020). Detection and Quantification of Chimeric Antigen Receptor Transgene Copy Number by Droplet Digital PCR versus Real-Time PCR. Journal of Molecular Diagnostics. 22(5). 699–707. 39 indexed citations
16.
Li, Meng, et al.. (2020). <p>Tuberculosis in Patients with Primary Myelofibrosis During Ruxolitinib Therapy: Case Series and Literature Review</p>. Infection and Drug Resistance. Volume 13. 3309–3316. 5 indexed citations
17.
Huang, Liang, Na Wang, Yang Cao, et al.. (2018). CAR22/19 Cocktail Therapy for Patients with Refractory/Relapsed B-Cell Malignancies. Blood. 132(Supplement 1). 1408–1408. 20 indexed citations
18.
19.
Yang, Yang, Xiaoxi Zhou, Min Xiao, et al.. (2010). Discovery of chrysoeriol, a PI3K-AKT-mTOR pathway inhibitor with potent antitumor activity against human multiple myeloma cells in vitro. Journal of Huazhong University of Science and Technology [Medical Sciences]. 30(6). 734–740. 21 indexed citations
20.
Hong, Zhenya, Zhiqiang Han, Min Xiao, et al.. (2009). Microarray study of mechanism of trichostatin a inducing apoptosis of Molt-4 cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(4). 445–450. 4 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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