Ming Wei

1.7k citations
69 papers · 1.2k · h-index 20

Impact in

Papers in

    • Plant Molecular Biology Research 12
    • Plant Stress Responses and Tolerance 10
    • Plant Micronutrient Interactions and Effects 4
    • Plant tissue culture and regeneration 4
    • Photosynthetic Processes and Mechanisms 4

Ming Wei

63 papers receiving 1.2k citations

Peers

Ming Wei
Comparison fields: 5 of 116
  • Animal Science and Zoology 194
  • Plant Science 527
  • Genetics 369
  • Pollution 109
  • Small Animals 55
Replace Zhiwei Liu with:
Zhiwei Liu China
Jens Hartung Germany
David Hirst United Kingdom
Weiyu Wang China
A.H. van Gelder Netherlands
Takehiro Nishida Japan
Rakesh Kumar India
William M. Clapham United States
Micheline Vandenbol Belgium
M. R. Islam Bangladesh
Ming Wei relative to Zhiwei Liu China Zhiwei Liu's profile →
Citations per field
00.5×6.3×
Zhiwei Liu · 1×
Citations per year

Countries citing papers authored by Ming Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199494
2 201570
3 199365
4 201663
5 201962
6 202150
7 201749
8 199549
9 202247
10 202445
11 199644
12 199142
13 202240
14
Comparison of reciprocal recurrent selection with pure-line selection systems in animal breeding (A review).
199139
15 202038
16 201937
17 202134
18 199129
19 202327
20 202023

About Ming Wei

Ming Wei is a scholar working on Plant Science, Molecular Biology, Genetics, Pollution and Animal Science and Zoology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Genetic and phenotypic traits in livestock (10 papers), Plant Stress Responses and Tolerance (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Animal Nutrition and Physiology (4 papers), Plant Micronutrient Interactions and Effects (4 papers), Plant tissue culture and regeneration (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Animal Science and Zoology (194 citations), Plant Science (527 citations), Genetics (369 citations), Pollution (109 citations) and Small Animals (55 citations). Ming Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include J. H. J. van der Werf, Chenghao Li, Hanno Steen, Xuemei Xu, E.W. Brascamp, William G. Hill, Armando Caballero, Xueyang Zhang, Haizhen Zhang and Dandan Li. Their work appears in journals such as Scientific Reports, Journal of Animal Breeding and Genetics, Journal of Cleaner Production, Animals and Journal of Animal Science.

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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