Mingxing Chu

5.1k citations
266 papers · 3.4k · h-index 29

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 114
    • Animal Genetics and Reproduction 44
    • Genetic Mapping and Diversity in Plants and Animals 27
    • Cancer-related molecular mechanisms research 85
    • MicroRNA in disease regulation 43

Mingxing Chu

254 papers receiving 3.3k citations

Peers

Mingxing Chu
Comparison fields: 5 of 107
  • Cancer Research 1.1k
  • Agronomy and Crop Science 709
  • Genetics 1.9k
  • Reproductive Medicine 281
  • Animal Science and Zoology 243
Replace Hasan Khatib with:
Hasan Khatib United States
Xianyong Lan China
Christopher K. Tuggle United States
Liguo Yang China
M. Schwerin Germany
Julang Li Canada
Christian Looft Germany
Ernst Tholen Germany
Pablo J. Ross United States
Dawit Tesfaye Germany
Mingxing Chu relative to Hasan Khatib United States Hasan Khatib's profile →
Citations per field
00.5×1.5×2.4×
Hasan Khatib · 1×
Citations per year

Countries citing papers authored by Mingxing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Mingxing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 266 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007162
2 1995148
3 201763
4 201060
5 200059
6 201157
7 201045
8 201445
9 200744
10 201043
11 201040
12 201239
13 201839
14 201839
15 202138
16 201038
17 200735
18 201835
19 202035
20 202034

About Mingxing Chu

Mingxing Chu is a scholar working on Genetics, Cancer Research, Molecular Biology, Public Health, Environmental and Occupational Health and Agronomy and Crop Science, having authored 266 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (114 papers), Cancer-related molecular mechanisms research (85 papers), Reproductive Biology and Fertility (51 papers), Reproductive Physiology in Livestock (45 papers), Animal Genetics and Reproduction (44 papers), MicroRNA in disease regulation (43 papers), Circular RNAs in diseases (29 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). The work is most often cited by research in Cancer Research (1.1k citations), Agronomy and Crop Science (709 citations), Genetics (1.9k citations), Reproductive Medicine (281 citations) and Animal Science and Zoology (243 citations). Mingxing Chu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ran Di, Xiaoyun He, Guiling Cao, Li Fang, Tao Feng, Qiuyue Liu, Xiaosheng Zhang, Xiangyu Wang, Wenping Hu and T. P. Pirone. Their work appears in journals such as Animals, Molecular Biology Reports, BMC Genomics, Genes and Animal Genetics.

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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