Shuting Tang

401 citations
13 papers · 149 indexed · h-index 5
Topics
Cancer-related molecular mechanisms research (3 papers)Liver Disease Diagnosis and Treatment (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesAdvanced Science
Partner nations
ChinaGermanyHong Kong

In The Last Decade

Shuting Tang

10 papers receiving 148 citations

Peers

Shuting Tang
Comparison fields: 5 of 49
  • Molecular Biology 93
  • Cancer Research 67
  • Epidemiology 27
  • Pulmonary and Respiratory Medicine 20
  • Oncology 19
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
Shuting Tang relative to Purba Nag Australia Purba Nag's profile →
Citations per field
00.5×4.5×
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-authorship network of co-authors of Shuting Tang

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 0
3 0
4 0
5 1
6 43
7 4
8 36
9 2
10
Vital and Distinct Roles of H2A.Z Isoforms in Hepatocellular Carcinoma
1
11 15
12 36
13 7

About Shuting Tang

Shuting Tang is a scholar working on Nephrology, Biochemistry and Cancer Research, 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) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (93 citations) and Nephrology (8 citations). Shuting Tang has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Pengming Sun, Xiaodan Mao, Pingping Su, Jalid Sehouli, Xinlin Chen, Lixia Chen, Yao Tong, Zheng Chen, Huifang Lei and Lixiang Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Advanced Science.

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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