Ping Zhu

185 total papers · 12.3k total citations
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 Canada. 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

111 papers receiving 5.3k citations

Hit Papers

Single-cell triple omics ... 2012 2026 2016 2021 2016 2015 2012 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping Zhu 3.1k 913 896 474 450 114 5.4k
Lisa A. Dailey 3.1k 1.0× 531 0.6× 2.3k 2.5× 409 0.9× 804 1.8× 129 6.7k
Laurie G. Hudson 3.3k 1.1× 1.2k 1.3× 1.0k 1.2× 615 1.3× 365 0.8× 134 6.2k
Ya‐Wen Chen 2.2k 0.7× 631 0.7× 470 0.5× 373 0.8× 285 0.6× 140 5.5k
Jeffrey I. Everitt 2.1k 0.7× 824 0.9× 1.0k 1.2× 469 1.0× 566 1.3× 194 6.5k
Cristina Battaglia 1.8k 0.6× 641 0.7× 479 0.5× 330 0.7× 413 0.9× 111 4.2k
Dongmei Wu 1.9k 0.6× 444 0.5× 500 0.6× 419 0.9× 196 0.4× 130 4.0k
Lin Feng 3.2k 1.0× 1.1k 1.2× 460 0.5× 609 1.3× 291 0.6× 183 5.5k
Kui Liu 3.7k 1.2× 777 0.9× 188 0.2× 679 1.4× 825 1.8× 163 7.0k
Xiaodong Han 2.3k 0.7× 750 0.8× 970 1.1× 828 1.7× 294 0.7× 242 7.7k
Elisabetta Falcieri 3.2k 1.0× 705 0.8× 180 0.2× 731 1.5× 227 0.5× 178 5.8k

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

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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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