Tian Su

3.0k citations
43 papers · 2.2k indexed · 1 hit paper · h-index 16
Topics
Adipose Tissue and Metabolism (10 papers)Cancer-related molecular mechanisms research (6 papers)Bone Metabolism and Diseases (6 papers)

In The Last Decade

Tian Su

43 papers receiving 2.2k citations

Hit Papers

TRAM couples endocytosis of Toll-like receptor 4 to the i...200820262014202020082505007501000

Peers

Tian Su
Comparison fields: 5 of 108
  • Molecular Biology 1.1k
  • Immunology 974
  • Cancer Research 518
  • Epidemiology 300
  • Oncology 203
Replace Takayuki Tsukuba with:
Takayuki Tsukuba Japan
Chandrasekharam N. Nagineni United States
John M. Ashton United States
Eiko Sakai Japan
Andrew E. Parker United Kingdom
Wei Zou United States
Marietta Armaka Greece
Lahiru Gangoda Australia
Luis Marrero United States
Sho Tokumaru Japan
Tian Su relative to Takayuki Tsukuba Japan Takayuki Tsukuba's profile →
Citations per field
00.5×4.3×
Takayuki Tsukuba · 1×
Citations per year

Countries citing papers authored by Tian Su

Since Specialization
Citations

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

Fields of papers citing papers by Tian Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Su

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Su. A scholar is included among the top collaborators of Tian Su 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 Tian Su. Tian Su 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 1
2 1
3 1
4 3
5 1
6 6
7 8
8 10
9 47
10 1
11 12
12 62
13 112
14 20
15 34
16 177
17 51
18 23
19 167
20
TRAM couples endocytosis of Toll-like receptor 4 to the induction of interferon-βbreakdown →
1002

About Tian Su

Tian Su is a scholar working on Geriatrics and Gerontology, Cancer Research and Molecular Biology, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Cancer-related molecular mechanisms research (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Immunology (974 citations), Cancer Research (518 citations) and Molecular Biology (1.1k citations). Tian Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruslan Medzhitov, Jonathan C. Kagan, Tiffany Horng, Amy Chow, Shizuo Akira, Ye Xiao, Xiang‐Hang Luo, Qi Guo, Changjun Li and Mi Yang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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