Ping Zhu

12.4k total citations · 3 hit papers
114 papers, 5.4k citations indexed

About

Ping Zhu is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Ping Zhu has authored 114 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 33 papers in Immunology and 30 papers in Hematology. Recurrent topics in Ping Zhu's work include Acute Myeloid Leukemia Research (13 papers), Single-cell and spatial transcriptomics (13 papers) and Immune Cell Function and Interaction (11 papers). Ping Zhu is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Single-cell and spatial transcriptomics (13 papers) and Immune Cell Function and Interaction (11 papers). Ping Zhu collaborates with scholars based in China, United States and United Kingdom. Ping Zhu's co-authors include Fuchou Tang, Lu Wen, Xinglong Wu, Xianlong Li, Hongshan Guo, Boqiang Hu, Tong Zhu, Fan Guo, Xiaoyu Li and Chengqi Yi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ping Zhu

112 papers receiving 5.3k citations

Hit Papers

Single-cell triple omics sequencing reveals genetic, epig... 2012 2026 2016 2021 2016 2015 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Zhu China 33 3.1k 916 899 475 453 114 5.4k
Jeffrey I. Everitt United States 42 2.1k 0.7× 824 0.9× 1.0k 1.1× 470 1.0× 571 1.3× 196 6.5k
Cristina Battaglia Italy 38 1.8k 0.6× 644 0.7× 481 0.5× 331 0.7× 412 0.9× 112 4.2k
Kui Liu China 45 3.7k 1.2× 780 0.9× 188 0.2× 679 1.4× 832 1.8× 164 7.1k
Leonard B. Collins United States 25 3.9k 1.3× 702 0.8× 460 0.5× 203 0.4× 576 1.3× 67 5.4k
Chen Zhao China 33 2.5k 0.8× 679 0.7× 249 0.3× 662 1.4× 279 0.6× 96 4.7k
Fang Wang China 41 3.3k 1.1× 1.7k 1.8× 180 0.2× 462 1.0× 244 0.5× 313 6.2k
Kunal Ray India 37 2.2k 0.7× 318 0.3× 658 0.7× 198 0.4× 904 2.0× 194 5.1k
Jun Kanno Japan 45 3.6k 1.1× 947 1.0× 1.9k 2.2× 843 1.8× 1.3k 2.9× 194 8.5k
Stefano Papa Italy 40 2.1k 0.7× 541 0.6× 220 0.2× 1.2k 2.5× 218 0.5× 189 6.0k
Manuela Martins‐Green United States 40 1.6k 0.5× 366 0.4× 398 0.4× 460 1.0× 222 0.5× 115 4.9k

Countries citing papers authored by Ping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhu. A scholar is included among the top collaborators of Ping 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 Ping Zhu. Ping 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.
Lv, Huizhen, Chenchen Wang, Zhenqiu Liu, et al.. (2025). Suppression of the Prostaglandin I2–Type 1 Interferon Axis Induces Extramedullary Hematopoiesis to Promote Cardiac Repair After Myocardial Infarction. Circulation. 151(24). 1730–1747. 1 indexed citations
2.
Liu, Zixian, Jinhong Wang, Yao Ma, et al.. (2024). Early megakaryocyte lineage-committed progenitors in adult mouse bone marrow. SHILAP Revista de lepidopterología. 6(2). e00187–e00187. 2 indexed citations
3.
Tang, Chao, Jingliao Zhang, Yan Gao, et al.. (2024). Single-cell epigenetic and clonal analysis decodes disease progression in pediatric acute myeloid leukemia. Blood. 145(11). 1211–1224. 5 indexed citations
4.
Zheng, Zhaofeng, Shangda Yang, Chao Tang, et al.. (2024). The ATF4-RPS19BP1 axis modulates ribosome biogenesis to promote erythropoiesis. Blood. 144(7). 742–756. 5 indexed citations
6.
Sun, Jin, Yongkang Su, Man Li, et al.. (2021). Mediation effect of obesity on the association between triglyceride‐glucose index and hyperuricemia in Chinese hypertension adults. Journal of Clinical Hypertension. 24(1). 47–57. 16 indexed citations
7.
Hou, Yuanyuan, Fei Huang, Xi Zhang, et al.. (2020). Factors affecting the production and molecular weight of levan in enzymatic synthesis by recombinant Bacillus subtilis levansucrase SacB‐T305A. Polymer International. 70(2). 185–192. 11 indexed citations
8.
9.
Ma, Shouyuan, Shuxia Wang, Man Li, Yan Zhang, & Ping Zhu. (2018). The effects of pigment epithelium-derived factor on atherosclerosis: putative mechanisms of the process. Lipids in Health and Disease. 17(1). 240–240. 28 indexed citations
10.
Xing, Haizhou, et al.. (2016). A specific immune tolerance toward offspring cells is to exist after the mother lymphocyte infusion. Immunobiology. 222(4). 658–663. 2 indexed citations
11.
Zhu, Ping, et al.. (2014). [Analysis of gene expression profiles to improve the treatment of leukemia].. PubMed. 22(6). 1735–8. 1 indexed citations
12.
Zhu, Ping, et al.. (2014). [Clinical management of pilonidal diseas-interpretation of practice parameters for the management of pilonidal disease from American Society of Colon and Rectal Surgeons].. PubMed. 17(12). 1254–7. 1 indexed citations
13.
Guo, Hongshan, Ping Zhu, Xinglong Wu, et al.. (2013). Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Research. 23(12). 2126–2135. 383 indexed citations
14.
Lü, Sijia, Chenghang Zong, Wei Fan, et al.. (2012). Probing Meiotic Recombination and Aneuploidy of Single Sperm Cells by Whole-Genome Sequencing. Science. 338(6114). 1627–1630. 230 indexed citations
15.
Huang, Wei, Guangfa Wang, Shou‐En Lu, et al.. (2012). Inflammatory and Oxidative Stress Responses of Healthy Young Adults to Changes in Air Quality during the Beijing Olympics. American Journal of Respiratory and Critical Care Medicine. 186(11). 1150–1159. 198 indexed citations
16.
Li, Xueyi, Jin Ding, Zhaohui Zheng, et al.. (2012). Long-term culture in vitro impairs the immunosuppressive activity of mesenchymal stem cells on T cells. Molecular Medicine Reports. 6(5). 1183–1189. 37 indexed citations
17.
Song, Guohua, Chuanlong Zong, Yanhong Si, et al.. (2012). SR-BI associates with ABCG1 and inhibits ABCG1-mediated cholesterol efflux from cells to high-density lipoprotein 3. Lipids in Health and Disease. 11(1). 118–118. 6 indexed citations
18.
Zhu, Ping. (2011). Application of bone marrow cell immunophenotyping analysis in diagnosing and monitoring of multiple myeloma. Zhonghua jianyan yixue zazhi. 34(1). 2–4. 1 indexed citations
19.
Kipen, Howard M., David Q. Rich, Wei Huang, et al.. (2010). Measurement of inflammation and oxidative stress following drastic changes in air pollution during the Beijing Olympics: a panel study approach. Annals of the New York Academy of Sciences. 1203(1). 160–167. 41 indexed citations
20.
Li, Huifang, Yuan‐lian Wan, Yucun Liu, Tao Wu, & Ping Zhu. (2003). TCRβ repertoire in TIL and PBL of patients with colorectal cancer. Chinese Journal of Cancer Research. 15(4). 277–281. 1 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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