Maoti Wei

633 citations
38 papers · 456 · h-index 13

Impact in

Papers in

Maoti Wei

34 papers receiving 446 citations

Peers

Maoti Wei
Comparison fields: 5 of 75
  • Infectious Diseases 210
  • Modeling and Simulation 49
  • Obstetrics and Gynecology 46
  • Agronomy and Crop Science 48
  • Epidemiology 140
Replace Kon Ken Wong with:
Kon Ken Wong Malaysia
Athanasios Kossyvakis Greece
Wei Ni China
Antonio Moreno‐Docón Spain
Daixi Jiang China
Hanna Honkanen Finland
Juan R. Ulloque‐Badaracco Peru
A. H. Newton United States
Esteban A. Alarcón‐Braga Peru
Qiru Zeng China
Maoti Wei relative to Kon Ken Wong Malaysia Kon Ken Wong's profile →
Citations per field
00.5×4.5×
Kon Ken Wong · 1×
Citations per year

Countries citing papers authored by Maoti Wei

Since Specialization
Citations

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

Fields of papers citing papers by Maoti Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201344
3 201043
4 201841
5 200840
6 200532
7 200928
8 200727
9 200918
10 202117
11 202015
12 200914
13 201012
14 20165
15
[The proteomics research on relational expressed serum proteins among the recovered SARS patients complicating avascular necrosis of femoral head].
20085
16 20074
17 20174
18 20194
19
[Effects of lead on NO, NOS, SOD, MDA in rat cerebral cortex].
20024
20
[Study on the coinfection of three tick-borne infectious diseases in China using polymerase chain reaction method].
20054

About Maoti Wei

Maoti Wei is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 456 indexed citations. Recurring topics across this work include Respiratory viral infections research (5 papers), Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers), Influenza Virus Research Studies (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Occupational and environmental lung diseases (3 papers). The work is most often cited by research in Infectious Diseases (210 citations), Modeling and Simulation (49 citations), Obstetrics and Gynecology (46 citations), Agronomy and Crop Science (48 citations) and Epidemiology (140 citations). Maoti Wei has collaborated with scholars based in China, Belarus and Netherlands. Frequent co-authors include Wu‐Chun Cao, Wei Liu, Hong Yang, Lei Zhang, Shixin Wang, Fang Tang, Yuming Li, Yigang Tong, Shixin Wang and Li‐Qun Fang. Their work appears in journals such as BMC Cardiovascular Disorders, Clinical Infectious Diseases, Hypertension in Pregnancy, Journal of Occupational and Environmental Medicine and 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.

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