Shuwei Gao

1.0k total citations
10 papers, 78 citations indexed

About

Shuwei Gao is a scholar working on Pulmonary and Respiratory Medicine, Pollution and Molecular Biology. According to data from OpenAlex, Shuwei Gao has authored 10 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Pollution and 2 papers in Molecular Biology. Recurrent topics in Shuwei Gao's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Shuwei Gao is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Shuwei Gao collaborates with scholars based in China, United States and United Kingdom. Shuwei Gao's co-authors include Carmen P. Escalante, Guangjun Wang, Ermeng Yu, Zhifei Li, Yun Xia, Wangbao Gong, Jingjing Tian, Hongyan Li, Jun Xie and Jun Xie and has published in prestigious journals such as American Journal Of Pathology, American Journal of Physiology-Cell Physiology and Cellular and Molecular Immunology.

In The Last Decade

Shuwei Gao

10 papers receiving 75 citations

Peers

Shuwei Gao
Comparison fields: 5 of 50
  • Internal Medicine 25
  • Pollution 19
  • Immunology 13
  • Emergency Medical Services 13
  • Cardiology and Cardiovascular Medicine 12
Replace Mariana Rădoi with:
Mariana Rădoi Romania
Cristhiam Rojas Hernandez United States
Kinjal Hew United States
Sara Kress Germany
S. Bertolazzi Italy
Phan Thi Hanh United States
E.I. Seliverstov Russia
Е.А. Ilyukhin Russia
Pengju Chen China
Mandy Pui Canada
Mariana Rădoi Romania View profile →
Citations per field, relative to Shuwei Gao
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Citations per year, relative to Shuwei Gao
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Countries citing papers authored by Shuwei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuwei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuwei Gao. A scholar is included among the top collaborators of Shuwei Gao 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 Shuwei Gao. Shuwei Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 2
2 3
3 2
4 1
5 10
6 11
7 20
8 1
9 7
10 21

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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