Min Wei

1.7k citations
39 papers · 952 · 1 hit paper · h-index 15

Impact in

Papers in

Min Wei

38 papers receiving 928 citations

Min Wei's Hit Papers

Novel Coronavirus Infection in Hospitalized Infants Under 1 Year of Age in China 2020 · 487 citations
4870+2+4Years since publication100200300400

Peers

Min Wei
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 286
  • Infectious Diseases 330
  • Modeling and Simulation 29
  • Oncology 100
  • Neurology 55
Replace Meiling Jin with:
Meiling Jin China
Junli Fan China
Jinsil Kim South Korea
Shaoshuai Wang China
Chunquan Cai China
Feifan Xiao China
Xiaojian Cui China
Jiafeng Zheng China
Agostino Nocerino Italy
Min Wei relative to Meiling Jin China Meiling Jin's profile →
Citations per field
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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 →
2020487
2 202050
3 201848
4 202036
5 201233
6 202427
7 201923
8 202022
9 201022
10 201121
11 201118
12 201517
13 202015
14 202014
15 202014
16 202114
17 202210
18 20219
19 20238
20 20258

About Min Wei

Min Wei is a scholar working on Molecular Biology, Obstetrics and Gynecology, Oncology, Physiology and Infectious Diseases, having authored 39 papers that have together received 952 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (6 papers), Pain Mechanisms and Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Acupuncture Treatment Research Studies (2 papers), Hepatitis C virus research (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer-related Molecular Pathways (2 papers) and High Altitude and Hypoxia (1 paper). The work is most often cited by research in Obstetrics and Gynecology (286 citations), Infectious Diseases (330 citations), Modeling and Simulation (29 citations), Oncology (100 citations) and Neurology (55 citations). Min Wei has collaborated with scholars based in China, Italy and Netherlands. Frequent co-authors include Xue‐jie Yu, Jingping Yuan, Yu Liu, Tao Fu, Zhi-Jiang Zhang, Yongyi Bi, Jing Yang, Qinlong Gu, Yu Liu and Bingya Liu. Their work appears in journals such as Journal of Craniofacial Surgery, Current Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, BMC Pregnancy and Childbirth and Cellular Oncology.

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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