Lanfang Tang

1.6k total citations
64 papers, 872 citations indexed

About

Lanfang Tang is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, Lanfang Tang has authored 64 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 17 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in Lanfang Tang's work include Pneumonia and Respiratory Infections (11 papers), Respiratory viral infections research (9 papers) and Neonatal Respiratory Health Research (9 papers). Lanfang Tang is often cited by papers focused on Pneumonia and Respiratory Infections (11 papers), Respiratory viral infections research (9 papers) and Neonatal Respiratory Health Research (9 papers). Lanfang Tang collaborates with scholars based in China, United States and Japan. Lanfang Tang's co-authors include Ximei Wu, Meiping Lu, Chengyun Xu, Xiling Wu, Chaochun Zou, Zhimin Chen, Musaddique Hussain, Yingshuo Wang, Yuanjian Sheng and Xuefeng Xu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lanfang Tang

56 papers receiving 861 citations

Peers

Lanfang Tang
Comparison fields: 5 of 105
  • Molecular Biology 283
  • Pulmonary and Respiratory Medicine 214
  • Epidemiology 143
  • Radiology, Nuclear Medicine and Imaging 111
  • Surgery 110
Replace Li Ma with:
Li Ma China
Zhiqiang Liu China
Jihong Dai China
Kenton E. Stephens United States
William R. Griswold United States
Zhiwei Lu China
Jens Schreiber Germany
Kang Hyeon Choe South Korea
Volker Stephan Germany
Tetsuya Sakai Japan
Li Ma China View profile →
Citations per field, relative to Lanfang Tang
Lanfang Tang · 1×
Citations per year, relative to Lanfang Tang
Lanfang Tang · 1×

Countries citing papers authored by Lanfang Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lanfang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanfang Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lanfang Tang. A scholar is included among the top collaborators of Lanfang 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 Lanfang Tang. Lanfang Tang 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 4
3 3
4 5
5 3
6 9
7 3
8 10
9 1
10 0
11 5
12 7
13 9
14 14
15 1
16 1
17 23
18 25
19 74
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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