Maoti Wei

639 citations
39 papers · 473 · h-index 13

Impact in

Papers in

Maoti Wei

36 papers receiving 460 citations

Peers

Maoti Wei
Comparison fields: 5 of 70
  • Infectious Diseases 172
  • Modeling and Simulation 32
  • Obstetrics and Gynecology 45
  • Agronomy and Crop Science 41
  • Epidemiology 118
Replace Wei Ni with:
Wei Ni China
Ruihua Sun China
Athanasios Kossyvakis Greece
K C Allen Chan Hong Kong
A. H. Newton United States
Federica Giardina Italy
Daixi Jiang China
Qiru Zeng United States
Juan R. Ulloque‐Badaracco Peru
Fumio Katsushima Japan
Maoti Wei relative to Wei Ni China Wei Ni's profile →
Citations per field
00.5×5×10×15×20×
Wei Ni · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 201348
3 201044
4 201843
5 200841
6 200532
7 200730
8 200928
9 200918
10 202117
11 202015
12 200914
13 201012
14 20166
15 20175
16
[The proteomics research on relational expressed serum proteins among the recovered SARS patients complicating avascular necrosis of femoral head].
20085
17
[Effects of lead on NO, NOS, SOD, MDA in rat cerebral cortex].
20024
18 20194
19 20074
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 Pediatrics, Perinatology and Child Health, Epidemiology, Obstetrics and Gynecology, Modeling and Simulation and Infectious Diseases, having authored 39 papers that have together received 473 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (5 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Gestational Diabetes Research and Management (2 papers), Obstructive Sleep Apnea Research (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (172 citations), Modeling and Simulation (32 citations), Obstetrics and Gynecology (45 citations), Agronomy and Crop Science (41 citations) and Epidemiology (118 citations). Maoti Wei has collaborated with scholars based in China, Netherlands and Belarus. Frequent co-authors include Wu‐Chun Cao, Wei Liu, Hong Yang, Lei Zhang, Shixin Wang, Yuming Li, Shixin Wang, Yigang Tong, Fang Tang and Li‐Qun Fang. Their work appears in journals such as BMC Cardiovascular Disorders, Clinical Infectious Diseases, Journal of Occupational and Environmental Medicine, Hypertension in Pregnancy and International Journal of Urology.

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