Dayong Zhai

7.1k citations
80 papers · 4.2k indexed · 1 hit paper · h-index 36
Topics
Cell death mechanisms and regulation (24 papers)Lung Cancer Treatments and Mutations (16 papers)RNA Interference and Gene Delivery (10 papers)

In The Last Decade

Dayong Zhai

76 papers receiving 4.2k citations

Hit Papers

Humanin peptide suppresses apoptosis by interfering with ...20032026201020182003100200300400500

Peers

Dayong Zhai
Comparison fields: 5 of 117
  • Molecular Biology 3.0k
  • Immunology 751
  • Oncology 667
  • Organic Chemistry 443
  • Rheumatology 397
Replace Solly Weiler with:
Solly Weiler United States
Ching‐Shih Chen United States
Dianne L. Newton United States
Gabriella D’Orazi Italy
Cristiano Ferlini Italy
Roya Khosravi‐Far United States
Lawrence R. Dick United States
Burkhard Jansen Austria
Tetsuo Mashima Japan
Euphemia Leung New Zealand
Dayong Zhai relative to Solly Weiler United States Solly Weiler's profile →
Citations per field
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Solly Weiler · 1×
Citations per year

Countries citing papers authored by Dayong Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Dayong Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayong Zhai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 70
2 21
3 129
4 17
5 28
6 47
7 236
8 105
9 51
10 45
11 70
12 185
13 9
14 262
15 67
16 96
17 125
18 71
19 49
20
Humanin peptide suppresses apoptosis by interfering with Bax activationbreakdown →
513

About Dayong Zhai

Dayong Zhai is a scholar working on Cancer Research, Virology and Molecular Biology, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (24 papers), Lung Cancer Treatments and Mutations (16 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Immunology (751 citations) and Applied Microbiology and Biotechnology (55 citations). Dayong Zhai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John C. Reed, Shinichi Kitada, Maurizio Pellecchia, Arnold C. Satterthwait, Marilisa Leone, Sina Sareth, Bin Guo, Kate Welsh, Edelmira Cabezas and Shahrzad Nouraini. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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