Mingming Fei

977 citations
26 papers · 719 · h-index 13

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Mingming Fei

25 papers receiving 699 citations

Peers

Mingming Fei
Comparison fields: 5 of 114
  • Infectious Diseases 217
  • Neurology 91
  • Ceramics and Composites 18
  • Materials Chemistry 140
  • Oncology 71
Replace Cheng-Hsiang Hsiao with:
Cheng-Hsiang Hsiao Taiwan
Chin Li Taiwan
Ruixue Wang China
Michael Byrne United States
Eri Tanaka Japan
Minglu Xiao China
Zhixin Liang China
Yi Xie China
Tianxiao Liu China
Mingming Fei relative to Cheng-Hsiang Hsiao Taiwan Cheng-Hsiang Hsiao's profile →
Citations per field
00.5×5.3×
Cheng-Hsiang Hsiao · 1×
Citations per year

Countries citing papers authored by Mingming Fei

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 202083
3 201773
4 202067
5 201765
6 201938
7 201435
8 202234
9 201321
10 201720
11 202019
12 202416
13 202014
14 202411
15 20189
16 20169
17 20177
18 20254
19 20134
20 20194

About Mingming Fei

Mingming Fei is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Immunology and Infectious Diseases, having authored 26 papers that have together received 719 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (4 papers), Advanced Battery Materials and Technologies (3 papers), Advancements in Solid Oxide Fuel Cells (2 papers), Geological and Geochemical Analysis (2 papers), MXene and MAX Phase Materials (2 papers), COVID-19 Clinical Research Studies (2 papers), Electrocatalysts for Energy Conversion (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Infectious Diseases (217 citations), Neurology (91 citations), Ceramics and Composites (18 citations), Materials Chemistry (140 citations) and Oncology (71 citations). Mingming Fei has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jinquan Wang, Zhaohui Lu, Changcheng Zheng, Hui Guo, Fei Tong, Chenxi Xu, Jigui Cheng, Xiaogen Tao, Xiaole Zhang and Renji Bian. Their work appears in journals such as Cancer Letters, Cretaceous Research, Applied Clay Science, International Journal of Infectious Diseases and Dyes and Pigments.

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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