Kai Zhao

4.7k citations
94 papers · 3.5k indexed · 2 hit papers · h-index 31
  • Immunology top 2%
    • Immune Cell Function and Interaction 11
    • Immune Response and Inflammation 9
    • T-cell and B-cell Immunology 8
    • interferon and immune responses 5
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation 13
    • Inflammasome and immune disorders 21
    • Epigenetics and DNA Methylation 6
  • Genetics top 5%
    • CAR-T cell therapy research 6

Kai Zhao

92 papers receiving 3.5k citations

Hit Papers

Intrinsic Radical Species Scav...1382015202620182022200400600

Peers

Kai Zhao
Comparison fields: 5 of 126
  • Immunology 1.1k
  • Hematology 428
  • Cancer Research 521
  • Molecular Biology 1.9k
  • Genetics 256
Replace Xiaoyun Fu with:
Xiaoyun Fu United States
Melpo Christofidou‐Solomidou United States
Bernard Weill France
Xiaoming Sun China
Roscoe L. Warner United States
Xi Yuan Sweden
James Varani United States
Ling Lü China
Sheng Wei United States
Kazuo Yudoh Japan
Kai Zhao relative to Xiaoyun Fu United States Xiaoyun Fu's profile →
Citations per field
00.5×1.5×1.8×
Xiaoyun Fu · 1×
Citations per year

Countries citing papers authored by Kai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kai Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Zhao Line = papers co-authored together Kai Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 202411
4 20247
5
Intrinsic Radical Species Scavenging Activities of Tea Polyphenols Nanoparticles Block Pyroptosis in Endotoxin-Induced Sepsisbreakdown →
2022138
6 202223
7 202199
8 202036
9 202011
10 20193
11 201983
12 201695
13 20168
14
Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6breakdown →
2015609
15 201516
16 20157
17 201529
18 201511
19 201427
20 201428

About Kai Zhao

Kai Zhao is a scholar working on Hematology, Immunology and Molecular Biology, having authored 94 papers that have together received 3.5k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (21 papers), Hematopoietic Stem Cell Transplantation (13 papers), Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (9 papers), T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (6 papers), Epigenetics and DNA Methylation (6 papers) and interferon and immune responses (5 papers). The work is most often cited by research in Immunology (1.1k citations), Hematology (428 citations) and Cancer Research (521 citations). Kai Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuetao Cao, Qicong Shen, Dezhi Zhao, Yiqi Liu, Nan Li, Ben Lü, Yan Gu, Qian Zhang, Xia Li and Chunmei Wang. Their work appears in journals such as Journal of Biological Chemistry, International Immunopharmacology, Nature Communications, Scientific Reports and Leukemia Research.

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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