Bei Mao

1.5k citations
27 papers · 1.1k · h-index 14

Impact in

Papers in

Bei Mao

26 papers receiving 1.1k citations

Peers

Bei Mao
Comparison fields: 5 of 111
  • Infectious Diseases 258
  • Health, Toxicology and Mutagenesis 190
  • Pulmonary and Respiratory Medicine 374
  • Modeling and Simulation 47
  • Critical Care and Intensive Care Medicine 29
Replace Marta Rava with:
Marta Rava Spain
Pavilio Piccioni Italy
Kwangha Lee South Korea
Nitesh Gupta India
Rebecca Nantanda Uganda
Zhengxiu Luo China
Julie Cook New Zealand
Chaicharn Pothirat Thailand
The Lancet Respiratory Medicine
Philip W. Rouadi Portugal
Bei Mao relative to Marta Rava Spain Marta Rava's profile →
Citations per field
00.5×2×3.1×
Marta Rava · 1×
Citations per year

Countries citing papers authored by Bei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Bei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bei Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bei Mao Line = papers co-authored together Bei Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020315
2 2015240
3 201687
4 201562
5 202049
6 201543
7 201840
8 202040
9 201837
10 201829
11 201725
12 201924
13 201820
14 202115
15 202414
16 202313
17 202312
18 202311
19 202210
20 202210

About Bei Mao

Bei Mao is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing, Infectious Diseases, Epidemiology and Immunology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (12 papers), Neonatal Respiratory Health Research (6 papers), Tracheal and airway disorders (2 papers), Dysphagia Assessment and Management (2 papers), Asthma and respiratory diseases (2 papers), Inflammasome and immune disorders (2 papers), Antifungal resistance and susceptibility (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Infectious Diseases (258 citations), Health, Toxicology and Mutagenesis (190 citations), Pulmonary and Respiratory Medicine (374 citations), Modeling and Simulation (47 citations) and Critical Care and Intensive Care Medicine (29 citations). Bei Mao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jin‐Fu Xu, Hai‐Wen Lu, Jia‐Wei Yang, Augustine M.K. Choi, Li-Chao Fan, Rujia Tao, Manhui Li, Hong Wang, Xiao‐Bin Ji and Shuo Liang. Their work appears in journals such as European Respiratory Journal, Respiratory Research, BMJ Open, Clinical and Translational Medicine and Journal of Cellular and Molecular Medicine.

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.

Explore authors with similar magnitude of impact