Tianshu Yang

520 citations
20 papers · 311 indexed · 1 hit paper · h-index 8
Topics
Selenium in Biological Systems (3 papers)MRI in cancer diagnosis (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Tianshu Yang

18 papers receiving 307 citations

Hit Papers

Metabolomic machine learning predictor for diagnosis and ...2024202620252024255075

Peers

Tianshu Yang
Comparison fields: 5 of 87
  • Molecular Biology 123
  • Genetics 52
  • Cancer Research 48
  • Oncology 46
  • Nutrition and Dietetics 43
Replace Elizabeth A. McCart with:
Elizabeth A. McCart United States
Baukje A. Schotanus Netherlands
Joana S. Rodrigues Portugal
Cuixing Zhou China
Javier Crespo Spain
Stefanie Stepanow Germany
Xiaofen Yao China
Yuki Oda Japan
Tadashi Moro Japan
Masanobu Maruyama Japan
Tianshu Yang relative to Elizabeth A. McCart United States Elizabeth A. McCart's profile →
Citations per field
00.5×3.6×
Elizabeth A. McCart · 1×
Citations per year

Countries citing papers authored by Tianshu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tianshu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshu Yang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 3
5 2
6 2
7
Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancerbreakdown →
98
8 7
9 1
10 7
11 7
12 46
13 14
14 28
15 7
16 5
17 18
18 8
19 33
20 21

About Tianshu Yang

Tianshu Yang is a scholar working on Genetics, Cancer Research and Ophthalmology, having authored 20 papers that have together received 311 indexed citations. Recurring topics across this work include Selenium in Biological Systems (3 papers), MRI in cancer diagnosis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (52 citations), Health Informatics (5 citations) and Urology (22 citations). Tianshu Yang has collaborated with scholars based in China and United States. Frequent co-authors include Yantao Tian, Meng Nie, Shenghan Lou, Fuhai Ma, Bohong Wang, Hang Wang, Shangfeng Liu, Zeping Hu, Haibin Song and Peng Han. Their work appears in journals such as Nature Communications, Advanced Science and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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