Chengkai Dai
Impact in
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Cell Biology 14
- Endoplasmic Reticulum Stress and Disease 13
- Co-authors
- Eric C. HollandGregory N. FullerJoseph CelestinoLuke WhitesellSusan LindquistArlin B. RogersLaura SchaeferRaymond Sawaya
- Journals
- Neoplasia (2 papers)Cell (2 papers)Genes & Development (2 papers)Oncogene (2 papers)Nature Genetics (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Chengkai Dai
31 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 170
- Genetics 1.0k
- Developmental Neuroscience 324
- Cancer Research 667
- Cell Biology 721
Countries citing papers authored by Chengkai Dai
This map shows the geographic impact of Chengkai 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 Chengkai Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengkai Dai more than expected).
Fields of papers citing papers by Chengkai Dai
This network shows the impact of papers produced by Chengkai 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 Chengkai Dai. The network helps show where Chengkai Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chengkai Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 89 | |
| 6 | 2016 | 1 | |
| 7 | 2015 | 35 | |
| 8 | 2015 | 126 | |
| 9 | 2014 | 78 | |
| 10 | 2012 | 104 | |
| 11 | 2010 | 102 | |
| 12 | 2009 | 77 | |
| 13 | Heat Shock Factor 1 Is a Powerful Multifaceted Modifier of Carcinogenesis Hit paper breakdown → | 2007 | 657 |
| 14 | 2005 | 42 | |
| 15 | 2003 | 35 | |
| 16 | 2002 | 53 | |
| 17 | PDGF autocrine stimulation dedifferentiates cultured astrocytes and induces oligodendrogliomas and oligoastrocytomas from neural progenitors and astrocytes in vivo Hit paper breakdown → | 2001 | 546 |
| 18 | 2001 | 22 | |
| 19 | Combined activation of Ras and Akt in neural progenitors induces glioblastoma formation in mice Hit paper breakdown → | 2000 | 705 |
| 20 | 2000 | 65 |
About Chengkai Dai
Chengkai Dai is a scholar working on Aging, Cell Biology, Genetics, Molecular Biology and Developmental Neuroscience, having authored 31 papers that have together received 3.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (13 papers), Heat shock proteins research (12 papers), Glioma Diagnosis and Treatment (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), interferon and immune responses (4 papers), Signaling Pathways in Disease (3 papers), Cancer Mechanisms and Therapy (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (170 citations), Genetics (1.0k citations), Developmental Neuroscience (324 citations), Cancer Research (667 citations) and Cell Biology (721 citations). Chengkai Dai has collaborated with scholars based in United States, China and France. Frequent co-authors include Eric C. Holland, Gregory N. Fuller, Joseph Celestino, Luke Whitesell, Susan Lindquist, Arlin B. Rogers, Laura Schaefer, Raymond Sawaya, Stephen B. Sampson and David N. Louis. Their work appears in journals such as Neoplasia, Cell, Genes & Development, Oncogene and Nature Genetics.
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.