Ke‐Zheng Dai

674 citations
20 papers · 394 indexed · h-index 14
  • Immunology top 10%
    • T-cell and B-cell Immunology 16
    • Immune Cell Function and Interaction 16
    • Immunotherapy and Immune Responses 6
    • Reproductive System and Pregnancy 2
    • Immune Response and Inflammation 2
    • IL-33, ST2, and ILC Pathways 2
    • Cytokine Signaling Pathways and Interactions 2
    • vaccines and immunoinformatics approaches 1

Ke‐Zheng Dai

19 papers receiving 391 citations

Peers

Ke‐Zheng Dai
Comparison fields: 5 of 58
  • Immunology 320
  • Hematology 26
  • Oncology 48
  • Infectious Diseases 29
  • Molecular Biology 95
Replace P. Lowrey with:
P. Lowrey United Kingdom
Catherine Pitt Australia
С. В. Михалап Ukraine
Thea Hogan United Kingdom
Erica J. Brodie Australia
Scott S. Zamvil United States
Chantal E. Hargreaves United Kingdom
Sara E. Vazquez United States
Ana Colado Argentina
Linda Masat United States
Ke‐Zheng Dai relative to P. Lowrey United Kingdom P. Lowrey's profile →
Citations per field
00.5×8.3×
P. Lowrey · 1×
Citations per year

Countries citing papers authored by Ke‐Zheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ke‐Zheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke‐Zheng Dai. 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 Ke‐Zheng Dai. The network helps show where Ke‐Zheng Dai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ke‐Zheng Dai, 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 Ke‐Zheng Dai Line = papers co-authored together Ke‐Zheng Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202320
2 20187
3 20167
4 201210
5 201127
6 20116
7 20107
8 200935
9 200814
10 200814
11 200635
12 200619
13 200622
14 200530
15 200413
16 200447
17 200423
18 200144
19 20010
20 200014

About Ke‐Zheng Dai

Ke‐Zheng Dai is a scholar working on Immunology, Rehabilitation and Hematology, having authored 20 papers that have together received 394 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (6 papers), Reproductive System and Pregnancy (2 papers), Immune Response and Inflammation (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (320 citations), Hematology (26 citations) and Oncology (48 citations). Ke‐Zheng Dai has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include John Torgils Vaage, Lise Kveberg, Christian Naper, Bent Rolstad, James C. Ryan, Anne Spurkland, Erik Dissen, Marit Inngjerdingen, Sigbjørn Fossum and Lars Helgeland. Their work appears in journals such as The Journal of Immunology, Immunogenetics, European Journal of Immunology, Genes and Immunity and Journal of Leukocyte Biology.

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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