Fei Tian

6.3k citations
38 papers · 3.6k indexed · 1 hit paper · h-index 13
Topics
Chronic Kidney Disease and Diabetes (5 papers)Air Quality and Health Impacts (4 papers)Lower Extremity Biomechanics and Pathologies (4 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Fei Tian

31 papers receiving 3.5k citations

Hit Papers

Presumed Asymptomatic Carrier Transmission of COVID-192020202620222024202010002.0k3.0k

Peers

Fei Tian
Comparison fields: 5 of 174
  • Infectious Diseases 1.7k
  • Modeling and Simulation 807
  • Oncology 611
  • Clinical Psychology 500
  • Neurology 465
Replace Kai Sen Tan with:
Kai Sen Tan Singapore
Qifang Bi United States
Yan Bai China
Runsheng Wang United States
Meng Sha China
Calvin J. Chiew Singapore
Shi Zhao Hong Kong
Kyra H. Grantz United States
Qulu Zheng United States
Fei Tian relative to Kai Sen Tan Singapore Kai Sen Tan's profile →
Citations per field
00.5×1.5×1.9×
Kai Sen Tan · 1×
Citations per year

Countries citing papers authored by Fei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Fei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Tian. A scholar is included among the top collaborators of Fei 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 Fei Tian. Fei 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 0
6 5
7 1
8 16
9 9
10 6
11 5
12 40
13 7
14 0
15 46
16 76
17 102
18 20
19
[Proportions and correlates of recent HIV infections among newly reported HIV/AIDS cases from 2005 through 2009 in Dehong prefecture, Yunnan province].
1
20 27

About Fei Tian

Fei Tian is a scholar working on Nephrology, Virology and Family Practice, having authored 38 papers that have together received 3.6k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Air Quality and Health Impacts (4 papers) and Lower Extremity Biomechanics and Pathologies (4 papers). The work is most often cited by research in Modeling and Simulation (807 citations), Infectious Diseases (1.7k citations) and General Dentistry (112 citations). Fei Tian has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Meiyun Wang, Yan Bai, Dong‐Yan Jin, Lijuan Chen, Tao Wei, Chongjian Wang, Shaokang Pan, Zihao Zhao, Jiayu Duan and Lulu Liang. Their work appears in journals such as JAMA, The Science of The Total Environment and Neurology.

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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