Jing Dai

610 total citations
7 papers, 485 citations indexed

About

Jing Dai is a scholar working on Molecular Biology, Rehabilitation and Geriatrics and Gerontology. According to data from OpenAlex, Jing Dai has authored 7 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Rehabilitation and 1 paper in Geriatrics and Gerontology. Recurrent topics in Jing Dai's work include Cancer therapeutics and mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper) and Signaling Pathways in Disease (1 paper). Jing Dai is often cited by papers focused on Cancer therapeutics and mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper) and Signaling Pathways in Disease (1 paper). Jing Dai collaborates with scholars based in China, United States and Portugal. Jing Dai's co-authors include David Sinclair, Anthony Rosenzweig, Angela Hafner, Chun‐Yang Xiao, Ana P. Gomes, Carlos M. Palmeira, Kosalaram Goteti, Sonya Zabludoff, Shangyu Liu and Steven E. Kern and has published in prestigious journals such as Journal of Proteome Research, Drug Metabolism and Disposition and Food & Function.

In The Last Decade

Jing Dai

5 papers receiving 481 citations

Peers

Jing Dai
Comparison fields: 5 of 67
  • Molecular Biology 272
  • Geriatrics and Gerontology 232
  • Physiology 157
  • Epidemiology 137
  • Pathology and Forensic Medicine 48
Replace Ruifeng Yang with:
Ruifeng Yang China
Chun‐Yang Xiao Japan
Kathleen A. Hershberger United States
Zhongping Lu United States
Christoph Koentges Germany
Remo D. Spescha Switzerland
Keita Inanaga Japan
William R. Urciuoli United States
Chenglin Huang China
Ruifeng Yang China View profile →
Citations per field, relative to Jing Dai
Jing Dai · 1×
Citations per year, relative to Jing Dai
Jing Dai · 1×

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dai

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 17
5 4
6 437
7 26

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