Zhijie Wu

121 total papers · 2.2k total citations
66 papers, 702 citations indexed

About

Zhijie Wu is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Zhijie Wu has authored 66 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 24 papers in Molecular Biology and 21 papers in Immunology. Recurrent topics in Zhijie Wu's work include Hematopoietic Stem Cell Transplantation (17 papers), Immune Cell Function and Interaction (11 papers) and Single-cell and spatial transcriptomics (11 papers). Zhijie Wu is often cited by papers focused on Hematopoietic Stem Cell Transplantation (17 papers), Immune Cell Function and Interaction (11 papers) and Single-cell and spatial transcriptomics (11 papers). Zhijie Wu collaborates with scholars based in United States, China and Germany. Zhijie Wu's co-authors include Neal S. Young, Xingmin Feng, Sachiko Kajigaya, Shouguo Gao, Jichun Chen, Amanda K. Ombrello, Katherine R. Calvo, Emma M. Groarke, Bhavisha A. Patel and Xin Zhao and has published in prestigious journals such as Nature Communications, Blood and International Journal of Molecular Sciences.

In The Last Decade

Zhijie Wu

57 papers receiving 697 citations

Hit Papers

Benign and malignant hema... 2021 2026 2022 2024 2021 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Zhijie Wu 230 224 223 190 180 66 702
Laurent Frenzel 237 1.0× 298 1.3× 338 1.5× 134 0.7× 116 0.6× 60 888
Masahiro Takeuchi 140 0.6× 241 1.1× 293 1.3× 99 0.5× 66 0.4× 67 860
Mona Anand 175 0.8× 272 1.2× 253 1.1× 271 1.4× 158 0.9× 43 907
Masaaki Noguchi 163 0.7× 149 0.7× 244 1.1× 179 0.9× 90 0.5× 85 862
Bhavisha A. Patel 206 0.9× 330 1.5× 115 0.5× 323 1.7× 341 1.9× 70 883
Dina Attias 212 0.9× 205 0.9× 169 0.8× 215 1.1× 67 0.4× 46 864
Kazuhiro Furuhashi 354 1.5× 108 0.5× 256 1.1× 128 0.7× 77 0.4× 46 819
Dragomir Marisavljević 104 0.5× 306 1.4× 119 0.5× 130 0.7× 139 0.8× 69 648
Pierre Sujobert 77 0.3× 224 1.0× 453 2.0× 312 1.6× 195 1.1× 47 833
Ik‐Chan Song 139 0.6× 232 1.0× 236 1.1× 94 0.5× 60 0.3× 86 709

Countries citing papers authored by Zhijie Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhijie Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijie Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijie Wu. A scholar is included among the top collaborators of Zhijie Wu 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 Zhijie Wu. Zhijie Wu 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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