Die Dai

805 citations
17 papers · 588 · h-index 11

Impact in

    • Gut microbiota and health
    • Genomics and Phylogenetic Studies
    • Metabolomics and Mass Spectrometry Studies
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Gut microbiota and health 10
    • Metabolomics and Mass Spectrometry Studies 3
    • Cancer Immunotherapy and Biomarkers 4

Die Dai

15 papers receiving 580 citations

Peers

Die Dai
Comparison fields: 5 of 69
  • Molecular Biology 341
  • Infectious Diseases 74
  • Gastroenterology 25
  • Oncology 66
  • Biological Psychiatry 3
Replace Lien Van den Bossche with:
Lien Van den Bossche Belgium
Ana M. Santander United States
Sumei Sha China
Bianca Oresta Italy
Tatsuo Inamine Japan
Jannie Pedersen Canada
Jacob Cardenas United States
Victor H. Carpio United States
Katya F. Ahr United States
Rea Bingula France
Die Dai relative to Lien Van den Bossche Belgium Lien Van den Bossche's profile →
Citations per field
00.5×2×3.4×
Lien Van den Bossche · 1×
Citations per year

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-authors

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

All Works

17 of 17 papers shown
#Work
1 2021131
2 2019117
3 2020117
4 202348
5 202332
6 202327
7 202424
8 201622
9 201519
10 201918
11 202218
12 20207
13 20265
14 20252
15 20251
16 20260
17 20260

About Die Dai

Die Dai is a scholar working on Molecular Biology, Oncology, Surgery, Gastroenterology and Obstetrics and Gynecology, having authored 17 papers that have together received 588 indexed citations. Recurring topics across this work include Gut microbiota and health (10 papers), Cancer Immunotherapy and Biomarkers (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Sepsis Diagnosis and Treatment (2 papers), Abdominal vascular conditions and treatments (2 papers), COVID-19 Clinical Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Molecular Biology (341 citations), Infectious Diseases (74 citations), Gastroenterology (25 citations), Oncology (66 citations) and Biological Psychiatry (3 citations). Die Dai has collaborated with scholars based in China, Germany and Macao. Frequent co-authors include Sicheng Wu, Kang Ning, Chuqing Sun, Xing‐Ming Zhao, Lijie He, Min Li, Jinxin Liu, Teng Wang, Na Gao and Fengguo Xu. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology, Cell Reports Medicine, Food & Function and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.

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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