Tai Ren

572 citations
32 papers · 308 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Pancreatic and Hepatic Oncology Research

Papers in

Tai Ren

27 papers receiving 306 citations

Peers

Tai Ren
Comparison fields: 5 of 79
  • Cancer Research 35
  • Oncology 60
  • Surgery 70
  • Immunology and Allergy 9
  • Molecular Biology 94
Replace Juan Cao with:
Juan Cao China
Sefa Tüzün Türkiye
Minguang Zhang China
Peng Cai China
Shani Austin‐Williams United Kingdom
Yunhua Lin China
Zhenli Gao China
Fanjie Meng China
Joaquín Araos Henríquez Australia
Tai Ren relative to Juan Cao China Juan Cao's profile →
Citations per field
00.5×1.5×2.3×
Juan Cao · 1×
Citations per year

Countries citing papers authored by Tai Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tai Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202134
2 202133
3 201929
4 201827
5 202123
6 202022
7 202119
8 201915
9 20219
10 20189
11 20219
12
MOB1A regulates glucose deprivation-induced autophagy via IL6-STAT3 pathway in gallbladder carcinoma.
20209
13 20218
14 20237
15 20207
16 20247
17 20236
18 20235
19 20235
20 20225

About Tai Ren

Tai Ren is a scholar working on Oncology, Molecular Biology, Surgery, Cognitive Neuroscience and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 308 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Per- and polyfluoroalkyl substances research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Autophagy in Disease and Therapy (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Cancer Research (35 citations), Oncology (60 citations), Surgery (70 citations), Immunology and Allergy (9 citations) and Molecular Biology (94 citations). Tai Ren has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yingbin Liu, Fēi Li, Jiong Li, Jun Zhang, Yijun Shu, Runfa Bao, Yunping Hu, Yongfu Yu, Bo Yang and Huijie Miao. Their work appears in journals such as BMC Cancer, BMC Medicine, World Journal of Pediatrics, Environmental Research and Annals of Oncology.

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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