Ming-Li Wang

721 citations
8 papers · 357 · h-index 6

Impact in

    • Plant Molecular Biology Research
    • Light effects on plants
    • Plant Virus Research Studies
    • Soybean genetics and cultivation
    • Plant Stress Responses and Tolerance

Papers in

    • Plant Virus Research Studies 2
    • Soybean genetics and cultivation 1
    • Plant Molecular Biology Research 1
    • Plant responses to water stress 1

Ming-Li Wang

7 papers receiving 353 citations

Peers

Ming-Li Wang
Comparison fields: 5 of 42
  • Plant Science 326
  • Horticulture 8
  • Endocrinology 40
  • Insect Science 57
  • Biochemistry 22
Replace Martine Peypelut with:
Martine Peypelut France
Despoina Beris Greece
Janet Laird United Kingdom
Naoyoshi Kumakura Japan
Sowmya Krishnaswamy Canada
Defang Gan China
Mohamed El‐Habbak Egypt
Mélanie Jubault France
Jocelyne Lemoine France
Xiaoguo Zhu China
Ming-Li Wang relative to Martine Peypelut France Martine Peypelut's profile →
Citations per field
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Martine Peypelut · 1×
Citations per year

Countries citing papers authored by Ming-Li Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Li Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2000188
2 200881
3 201447
4 201619
5 201513
6 20116
7 20233
8 20240

About Ming-Li Wang

Ming-Li Wang is a scholar working on Plant Science, Molecular Biology, Agronomy and Crop Science, Insect Science and Strategy and Management, having authored 8 papers that have together received 357 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (2 papers), Plant Virus Research Studies (2 papers), Insect-Plant Interactions and Control (2 papers), Soybean genetics and cultivation (1 paper), Peptidase Inhibition and Analysis (1 paper), Plant Molecular Biology Research (1 paper), Agricultural Systems and Practices (1 paper) and Plant responses to water stress (1 paper). The work is most often cited by research in Plant Science (326 citations), Horticulture (8 citations), Endocrinology (40 citations), Insect Science (57 citations) and Biochemistry (22 citations). Ming-Li Wang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Minami Matsui, Xiangfeng Wang, Haruko Okamoto, Hsu-Liang Hsieh, H. M. Goodman, John Hu, Wayne B. Borth, T. Erik Mirkov, Henrik H. Albert and Paul H. Moore. Their work appears in journals such as Genes & Development, BMC Genomics, Viruses, Frontiers in Sustainable Food Systems and Virology.

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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