Ming Wen

2.1k citations
35 papers · 416 · h-index 13

Impact in

Papers in

Ming Wen

34 papers receiving 415 citations

Peers

Ming Wen
Comparison fields: 5 of 82
  • Insect Science 104
  • Cellular and Molecular Neuroscience 85
  • Physiology 19
  • Ecology, Evolution, Behavior and Systematics 69
  • Genetics 92
Replace E. S. Snigirevskaya with:
E. S. Snigirevskaya Russia
Zhiqi Meng China
Cécile Donnadieu France
Yongzhu Yi China
Elżbieta Łopieńska–Biernat Poland
Yinü Li China
Leonardo Araujo de Abreu Brazil
Holman C. Massey United States
Н. Д. Крещенко Russia
Edward A. Mead United States
Ming Wen relative to E. S. Snigirevskaya Russia E. S. Snigirevskaya's profile →
Citations per field
00.5×5.5×
E. S. Snigirevskaya · 1×
Citations per year

Countries citing papers authored by Ming Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 201540
3 200938
4 201734
5 201928
6 202025
7 202124
8 202222
9 201719
10 201918
11 201715
12 201815
13 201812
14 202311
15 202410
16 20129
17 20196
18 20246
19 20216
20 20145

About Ming Wen

Ming Wen is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 416 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Animal Virus Infections Studies (6 papers), Plant and animal studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Herpesvirus Infections and Treatments (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), Orthoptera Research and Taxonomy (3 papers) and Insect Utilization and Effects (2 papers). The work is most often cited by research in Insect Science (104 citations), Cellular and Molecular Neuroscience (85 citations), Physiology (19 citations), Ecology, Evolution, Behavior and Systematics (69 citations) and Genetics (92 citations). Ming Wen has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Bingzhong Ren, Yinliang Wang, Reinhard Jetter, Jiatong Wang, Hanbo Zhao, Xinping Zhang, Aihua He, Shuo Wang, Shuai Zhang and Jiao Yin. Their work appears in journals such as Journal of Insect Physiology, Entomologia Generalis, Marine Pollution Bulletin, Journal of Systematics and Evolution and Frontiers in Nutrition.

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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