Chunli Tang

35.0k total citations
50 papers, 727 citations indexed

About

Chunli Tang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chunli Tang has authored 50 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 17 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chunli Tang's work include Tracheal and airway disorders (15 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Diabetes Treatment and Management (7 papers). Chunli Tang is often cited by papers focused on Tracheal and airway disorders (15 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Diabetes Treatment and Management (7 papers). Chunli Tang collaborates with scholars based in China, United States and Germany. Chunli Tang's co-authors include Shiyue Li, Wei‐jie Guan, Nanshan Zhong, Ruchong Chen, Ruidi Tang, Wenhua Liang, Tao Wang, Nuofu Zhang, Chunli Liu and Changhao Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Chunli Tang

42 papers receiving 710 citations

Peers

Chunli Tang
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 224
  • Infectious Diseases 220
  • Surgery 168
  • Neurology 117
  • Oncology 110
Replace Nicola Potere with:
Nicola Potere Italy
Héctor González‐Pacheco Mexico
Dariusz A. Kosior Poland
Ming‐Yow Hung Taiwan
Giuliana Martini Italy
Dimitrios A. Vrachatis Greece
Carmen Fernández‐Capitán Spain
Neeraj Sinha United States
Maneesh Bhargava United States
Remigijus Žaliūnas Lithuania
Nicola Potere Italy View profile →
Citations per field, relative to Chunli Tang
Chunli Tang · 1×
Citations per year, relative to Chunli Tang
Chunli Tang · 1×

Countries citing papers authored by Chunli Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chunli Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunli Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Tang. A scholar is included among the top collaborators of Chunli 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 Chunli Tang. Chunli 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 0
3 0
4 1
5 3
6 5
7 2
8 5
9 8
10 3
11 6
12 5
13 13
14 7
15 1
16 269
17 42
18 33
19 10
20 46

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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