Min Wei

1.7k citations
39 papers · 950 · 1 hit paper · h-index 14

Impact in

Papers in

Min Wei

38 papers receiving 926 citations

Min Wei's Hit Papers

Novel Coronavirus Infection in Hospitalized Infants Under 1 Year of Age in China 2020 · 479 citations
4790+2+4Years since publication100200300400

Peers

Min Wei
Comparison fields: 5 of 108
  • Obstetrics and Gynecology 330
  • Infectious Diseases 392
  • Modeling and Simulation 36
  • Oncology 163
  • Neurology 73
Replace Meiling Jin with:
Meiling Jin China
Jinsil Kim South Korea
Anh Do United States
Jenna Haverfield Canada
Feifan Xiao China
Chunquan Cai China
Shaoshuai Wang China
Agostino Nocerino Italy
Xiaojian Cui China
Sen Hee Tay Singapore
Min Wei relative to Meiling Jin China Meiling Jin's profile →
Citations per field
00.5×2.8×
Meiling Jin · 1×
Citations per year

Countries citing papers authored by Min Wei

Since Specialization
Citations

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

Fields of papers citing papers by Min Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min 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 Min Wei Line = papers co-authored together Min 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
Novel Coronavirus Infection in Hospitalized Infants Under 1 Year of Age in China
Hit paper breakdown →
2020479
2 202049
3 201847
4 202036
5 201234
6 200830
7 201923
8 202022
9 201021
10 202421
11 201121
12 201118
13 201516
14 202014
15 202013
16 202113
17 202011
18 20219
19 20228
20 20097

About Min Wei

Min Wei is a scholar working on Molecular Biology, Surgery, Oncology, Obstetrics and Gynecology and Epidemiology, having authored 39 papers that have together received 950 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (6 papers), Cancer-related Molecular Pathways (4 papers), Facial Trauma and Fracture Management (4 papers), Pain Mechanisms and Treatments (3 papers), Pregnancy and Medication Impact (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (330 citations), Infectious Diseases (392 citations), Modeling and Simulation (36 citations), Oncology (163 citations) and Neurology (73 citations). Min Wei has collaborated with scholars based in China, Netherlands and Italy. Frequent co-authors include Tao Fu, Jingping Yuan, Yu Liu, Xue‐jie Yu, Zhi-Jiang Zhang, Yongyi Bi, Jing Yang, Zhi-Jiang Zhang, Bingya Liu and Qinlong Gu. Their work appears in journals such as Journal of Craniofacial Surgery, European Journal of Clinical Microbiology & Infectious Diseases, Current Microbiology, Journal of Wound Ostomy and Continence Nursing and International Journal of Gynecological Cancer.

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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