Mao‐Shui Wang

585 citations
60 papers · 338 · h-index 10

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 26
    • Mycobacterium research and diagnosis 19
    • Pneumonia and Respiratory Infections 3

Mao‐Shui Wang

56 papers receiving 331 citations

Peers

Mao‐Shui Wang
Comparison fields: 5 of 50
  • Infectious Diseases 117
  • Epidemiology 93
  • Surgery 107
  • Small Animals 18
  • Pulmonary and Respiratory Medicine 65
Replace Şeref Özkara with:
Şeref Özkara Türkiye
M. Ali Taş Türkiye
Changzhou Shao China
Robina Aerts Belgium
Peter Bomans Belgium
Pankaj C. Vaidya India
M Ardian Australia
Jakrapun Pupaibool United States
Hélène Coignard France
Claudia Jafari Germany
Mao‐Shui Wang relative to Şeref Özkara Türkiye Şeref Özkara's profile →
Citations per field
00.5×2×4×5.3×
Şeref Özkara · 1×
Citations per year

Countries citing papers authored by Mao‐Shui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Shui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mao‐Shui Wang, 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 Mao‐Shui Wang Line = papers co-authored together Mao‐Shui Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 201724
3 201615
4 202115
5 202315
6 202014
7 201913
8 201912
9 201712
10 202110
11 20199
12 20168
13
Evaluation of a diagnostic flow chart applying medical thoracoscopy, adenosine deaminase and T-SPOT.TB in diagnosis of tuberculous pleural effusion.
20157
14 20247
15 20217
16 20147
17 20237
18 20196
19 20226
20 20206

About Mao‐Shui Wang

Mao‐Shui Wang is a scholar working on Infectious Diseases, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 60 papers that have together received 338 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (26 papers), Mycobacterium research and diagnosis (19 papers), Infectious Diseases and Tuberculosis (16 papers), Pleural and Pulmonary Diseases (13 papers), Diagnosis and treatment of tuberculosis (9 papers), Pneumothorax, Barotrauma, Emphysema (4 papers), Pneumonia and Respiratory Infections (3 papers) and Ultrasound in Clinical Applications (3 papers). The work is most often cited by research in Infectious Diseases (117 citations), Epidemiology (93 citations), Surgery (107 citations), Small Animals (18 citations) and Pulmonary and Respiratory Medicine (65 citations). Mao‐Shui Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Xin‐Feng Wang, Chao Han, Xinjie Liu, Yu He, Yanhua Wu, Yanan Zhang, Junli Wang, Yunshan Wang, Junli Wang and Tianren Huang. Their work appears in journals such as Scientific Reports, Scandinavian Journal of Infectious Diseases, Journal of Infection, BMC Infectious Diseases and Frontiers in Pediatrics.

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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