Shuting Tang

401 citations
13 papers · 149 · h-index 5

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Inflammasome and immune disorders
    • Circular RNAs in diseases

Papers in

Shuting Tang

10 papers receiving 148 citations

Peers

Shuting Tang
Comparison fields: 5 of 49
  • Cancer Research 67
  • Molecular Biology 93
  • Nephrology 8
  • Obstetrics and Gynecology 8
  • Reproductive Medicine 7
Replace Purba Nag with:
Purba Nag Australia
Chengpeng Gui China
Jin‐Chun Qi China
Patricia Aragon Han United States
Catriona Ling Canada
Xufen Cao China
Olivia C. Leavy United Kingdom
Zijia Tao China
Nur Sabrina Sapari Singapore
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Citations per field
00.5×1.5×2.3×
Purba Nag · 1×
Citations per year

Countries citing papers authored by Shuting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shuting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202343
2 202236
3 202036
4 202015
5 20207
6 20254
7 20234
8 20222
9
Vital and Distinct Roles of H2A.Z Isoforms in Hepatocellular Carcinoma
20201
10 20241
11 20250
12 20250
13 20250

About Shuting Tang

Shuting Tang is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Nephrology and Pathology and Forensic Medicine, having authored 13 papers that have together received 149 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), MicroRNA in disease regulation (1 paper), Computational Drug Discovery Methods (1 paper), Genetic factors in colorectal cancer (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (93 citations), Nephrology (8 citations), Obstetrics and Gynecology (8 citations) and Reproductive Medicine (7 citations). Shuting Tang has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Xiaodan Mao, Jalid Sehouli, Pingping Su, Pengming Sun, Xinlin Chen, Zheng Chen, Yao Tong, Huifang Lei, Lixia Chen and Yawei Wu. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, iScience, International Journal of Medical Sciences, BioMed Research International and Journal of Inflammation Research.

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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