Zihao Wu

1.4k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Zihao Wu is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zihao Wu has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zihao Wu's work include Immune Cell Function and Interaction (4 papers), Blood Pressure and Hypertension Studies (4 papers) and T-cell and B-cell Immunology (4 papers). Zihao Wu is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Blood Pressure and Hypertension Studies (4 papers) and T-cell and B-cell Immunology (4 papers). Zihao Wu collaborates with scholars based in China, United States and Singapore. Zihao Wu's co-authors include Laurence A. Turka, Mohamed H. Sayegh, Wayne W. Hancock, Terry B. Strom, Li X, Aimin Tang, Gabriel Núñez, Yongsheng Li, Xin Xiao Zheng and Andrew D. Wells and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zihao Wu

16 papers receiving 1.0k citations

Hit Papers

Requirement for T-cell apoptosis in the induction of peri... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers

Zihao Wu
Comparison fields: 5 of 70
  • Immunology 778
  • Transplantation 238
  • Surgery 180
  • Hematology 131
  • Molecular Biology 114
Replace Nina Pilat with:
Nina Pilat Austria
Allan Thiolat France
Nina Dvorina United States
E. Dijke Netherlands
Yasuhiro Fudaba Japan
Jessica Heinrichs United States
Maria Chatzipetrou United States
Hilda E. Ramón United States
Robert A. Holzknecht United States
Agata Kosmaczewska Poland
Nina Pilat Austria View profile →
Citations per field, relative to Zihao Wu
Zihao Wu · 1×
Citations per year, relative to Zihao Wu
Zihao Wu · 1×

Countries citing papers authored by Zihao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zihao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zihao Wu. A scholar is included among the top collaborators of Zihao 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 Zihao Wu. Zihao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 3
5 3
6 1
7
Development and Validation of a Prediction Model for 5-Year Risk of Kidney Dysfunction in Patients with Hypertension and Glucose Metabolism Disorder
1
8 8
9 8
10 7
11 12
12 5
13 13
14 67
15 47
16 332
17 23
18
Requirement for T-cell apoptosis in the induction of peripheral transplantation tolerance breakdown →
512

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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2026