Die Dai

793 total citations
14 papers, 367 citations indexed

About

Die Dai is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Die Dai has authored 14 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Oncology. Recurrent topics in Die Dai's work include Gut microbiota and health (7 papers), Diet and metabolism studies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Die Dai is often cited by papers focused on Gut microbiota and health (7 papers), Diet and metabolism studies (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Die Dai collaborates with scholars based in China, Australia and Greece. Die Dai's co-authors include Wei‐Hua Chen, Sicheng Wu, Lijie He, Xing‐Ming Zhao, Chuqing Sun, Kang Ning, Min Li, Jinxin Liu, Na Gao and Teng Wang and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Scientific Reports.

In The Last Decade

Die Dai

12 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Die Dai China 9 279 56 48 47 43 14 367
Marco Fabbrini Italy 12 214 0.8× 48 0.9× 41 0.9× 41 0.9× 41 1.0× 27 347
Xiali Qin China 10 232 0.8× 52 0.9× 42 0.9× 49 1.0× 48 1.1× 13 354
Xiaokai Wang China 9 204 0.7× 50 0.9× 36 0.8× 61 1.3× 45 1.0× 19 368
Arthid Thim-uam Thailand 12 221 0.8× 31 0.6× 102 2.1× 35 0.7× 39 0.9× 28 444
TaChung Yu China 7 234 0.8× 85 1.5× 29 0.6× 20 0.4× 53 1.2× 9 386
Cihua Zheng China 8 243 0.9× 45 0.8× 25 0.5× 47 1.0× 31 0.7× 13 351
Changlu Qi China 9 433 1.6× 32 0.6× 65 1.4× 28 0.6× 60 1.4× 19 539
Rama Saad Egypt 8 286 1.0× 33 0.6× 63 1.3× 17 0.4× 35 0.8× 10 355
Zibin Tian China 7 250 0.9× 79 1.4× 46 1.0× 23 0.5× 37 0.9× 21 387
Sarah W. Renner United States 4 310 1.1× 99 1.8× 57 1.2× 34 0.7× 93 2.2× 5 392

Countries citing papers authored by Die Dai

Since Specialization
Citations

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

Fields of papers citing papers by Die Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Die Dai

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

All Works

14 of 14 papers shown
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Cheng, Siyuan, Die Dai, Yan Kou, et al.. (2023). The gut microbiome affects response of treatments in HER2‐negative advanced gastric cancer. Clinical and Translational Medicine. 13(7). e1312–e1312. 37 indexed citations
4.
Cheng, Siyuan, Tong Xie, Bohan Zhang, et al.. (2023). Correlation of the gut microbiome and immune-related adverse events in gastrointestinal cancer patients treated with immune checkpoint inhibitors. Frontiers in Cellular and Infection Microbiology. 13. 1099063–1099063. 25 indexed citations
5.
Li, Rong, Bei Li, Bo Zhang, et al.. (2023). Gut indigenous Ruminococcus gnavus alleviates constipation and stress-related behaviors in mice with loperamide-induced constipation. Food & Function. 14(12). 5702–5715. 21 indexed citations
6.
Dai, Die, Jingchao Chen, Mingyue Li, et al.. (2022). Integrated multi-omics reveal important roles of gut contents in intestinal ischemia–reperfusion induced injuries in rats. Communications Biology. 5(1). 938–938. 13 indexed citations
7.
Dai, Die, et al.. (2022). Abstract A030: Gut microbiome as a promising biomarker for colorectal cancer diagnosis and immunotherapy response prediction. Cancer Research. 82(23_Supplement_1). A030–A030. 1 indexed citations
8.
9.
Dai, Die, Chuqing Sun, Min Li, et al.. (2021). GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison. Nucleic Acids Research. 50(D1). D777–D784. 100 indexed citations
10.
Dai, Die, et al.. (2020). Dynamic metabolomic analysis of intestinal ischemia–reperfusion injury in rats. IUBMB Life. 72(5). 1001–1011. 7 indexed citations
11.
Dai, Die, Teng Wang, Sicheng Wu, Na Gao, & Wei‐Hua Chen. (2019). Metabolic Dependencies Underlie Interaction Patterns of Gut Microbiota During Enteropathogenesis. Frontiers in Microbiology. 10. 1205–1205. 16 indexed citations
12.
Wu, Sicheng, Chuqing Sun, Yanze Li, et al.. (2019). GMrepo: a database of curated and consistently annotated human gut metagenomes. Nucleic Acids Research. 48(D1). D545–D553. 105 indexed citations
13.
Dai, Die, Yiqiao Gao, Jiaqing Chen, et al.. (2016). Time-resolved metabolomics analysis of individual differences during the early stage of lipopolysaccharide-treated rats. Scientific Reports. 6(1). 34136–34136. 23 indexed citations
14.

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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