Bei Mao

1.5k citations
23 papers · 715 · h-index 13

Impact in

Papers in

Bei Mao

22 papers receiving 697 citations

Peers

Bei Mao
Comparison fields: 5 of 94
  • Health, Toxicology and Mutagenesis 188
  • Pulmonary and Respiratory Medicine 328
  • Critical Care and Intensive Care Medicine 18
  • Environmental Engineering 48
  • Speech and Hearing 20
Replace Shu Cong with:
Shu Cong China
Mara Lelii Italy
Xixin Yan China
Jimyung Park South Korea
Jee Youn Oh South Korea
Delores E. Graham United States
Jeong Woong Park South Korea
Despina Papakosta Greece
Muntasir M. Abdelaziz United Kingdom
José Laerte Boechat Brazil
Bei Mao relative to Shu Cong China Shu Cong's profile →
Citations per field
00.5×5×10×15×20×22.5×
Shu Cong · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015240
2 201685
3 201560
4 202048
5 201538
6 201836
7 201834
8 201828
9 201725
10 201921
11 201818
12 202115
13 202414
14 202312
15 202210
16 20238
17 20238
18 20217
19 20173
20 20162

About Bei Mao

Bei Mao is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing, Infectious Diseases, Epidemiology and Immunology, having authored 23 papers that have together received 715 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (10 papers), Neonatal Respiratory Health Research (5 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), Immune Response and Inflammation (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (188 citations), Pulmonary and Respiratory Medicine (328 citations), Critical Care and Intensive Care Medicine (18 citations), Environmental Engineering (48 citations) and Speech and Hearing (20 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, Lichao Fan, Manhui Li, Rujia Tao, Xiao‐Bin Ji, Hong Wang and Baoxue Ge. Their work appears in journals such as European Respiratory Journal, Respiratory Research, Scientific Reports, Journal of Cellular and Molecular Medicine and Clinical and Translational 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