Song Tian

3.9k total citations
75 papers, 2.3k citations indexed

About

Song Tian is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Song Tian has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 20 papers in Epidemiology and 14 papers in Cell Biology. Recurrent topics in Song Tian's work include Liver Disease Diagnosis and Treatment (19 papers), Endoplasmic Reticulum Stress and Disease (13 papers) and Cancer-related molecular mechanisms research (6 papers). Song Tian is often cited by papers focused on Liver Disease Diagnosis and Treatment (19 papers), Endoplasmic Reticulum Stress and Disease (13 papers) and Cancer-related molecular mechanisms research (6 papers). Song Tian collaborates with scholars based in China, United States and Macao. Song Tian's co-authors include Hongliang Li, Xue‐Yong Zhu, Zhi‐Gang She, Lihua Zhu, Xiao‐Jing Zhang, Zan Huang, Pi‐Xiao Wang, Yan‐Xiao Ji, Peng Zhang and Chun‐Kai Fang and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Song Tian

71 papers receiving 2.3k citations

Peers

Song Tian
Comparison fields: 5 of 109
  • Molecular Biology 1.1k
  • Epidemiology 740
  • Immunology 385
  • Cancer Research 341
  • Cell Biology 317
Replace Hyon‐Seung Yi with:
Hyon‐Seung Yi South Korea
Kook Hwan Kim South Korea
Qiurong Ding China
Patrick J. van Gorp Netherlands
Oliver Tschopp Switzerland
Bishuang Cai United States
Almudena Porrás Spain
Songbai Lin United States
Priya Handa United States
Hyon‐Seung Yi South Korea View profile →
Citations per field, relative to Song Tian
Song Tian · 1×
Citations per year, relative to Song Tian
Song Tian · 1×

Countries citing papers authored by Song Tian

Since Specialization
Citations

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

Fields of papers citing papers by Song Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Song Tian. A scholar is included among the top collaborators of Song Tian 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 Song Tian. Song Tian 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
# Work Indexed citations
1 0
2 16
3 0
4 41
5 4
6 1
7 11
8 70
9 14
10 21
11 133
12
Adjuvant trans-arterial chemoembolization after hepatectomy significantly improves the prognosis of low-risk patients with R0-stage hepatocellular carcinoma
1
13 51
14 50
15 85
16 60
17 1
18 16
19 1
20 35

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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