Mingming Liu

55 papers receiving 882 citations

Peers

Mingming Liu
Comparison fields: 5 of 54
  • Parasitology 764
  • Infectious Diseases 502
  • Ecology, Evolution, Behavior and Systematics 454
  • Insect Science 114
  • Microbiology 30
Replace Jixu Li with:
Jixu Li China
Eloiza May Galon Japan
Hüseyin Bilgin Bilgiç Türkiye
Paul Franck Adjou Moumouni Japan
Charoonluk Jirapattharasate Japan
Adrian P. Ybañez Japan
Rachael A. Priestley United States
Sezayi Özübek Türkiye
Youmna M’ghirbi Tunisia
Qingli Niu China
Mingming Liu relative to Jixu Li China Jixu Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mingming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201663
2 201661
3 201548
4 201747
5 201641
6 201935
7 202132
8 202032
9 201830
10 201827
11 201627
12 202024
13 202024
14 202023
15 201922
16 202021
17 201921
18 202119
19 201818
20 202117

About Mingming Liu

Mingming Liu is a scholar working on Parasitology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology, having authored 55 papers that have together received 894 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (46 papers), Vector-Borne Animal Diseases (31 papers), Viral Infections and Vectors (31 papers), Plant Parasitism and Resistance (5 papers), Insect Resistance and Genetics (4 papers), Insect Pest Control Strategies (4 papers), Microbial infections and disease research (3 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Parasitology (764 citations), Infectious Diseases (502 citations), Ecology, Evolution, Behavior and Systematics (454 citations), Insect Science (114 citations) and Microbiology (30 citations). Mingming Liu has collaborated with scholars based in Japan, China and Philippines. Frequent co-authors include Xuenan Xuan, Paul Franck Adjou Moumouni, Eloiza May Galon, Jixu Li, Charoonluk Jirapattharasate, Patrick Vudriko, Hiroshi Suzuki, Seung‐Hun Lee, Aaron Edmond Ringo and Benedicto Byamukama. Their work appears in journals such as Ticks and Tick-borne Diseases, Pathogens, Molecular and Biochemical Parasitology, Acta Tropica and Frontiers in Cellular and Infection Microbiology.

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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