Meng Yuqi

5.2k citations
8 papers · 3.3k indexed · 3 hit papers · h-index 4

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Cancer-related molecular mechanisms research

Papers in

Meng Yuqi

8 papers receiving 3.3k citations

Hit Papers

PlantRegMap: charting functional regulatory maps in plants 2019 · 715 citations
715201620262019202250010001.5k

Peers

Meng Yuqi
Comparison fields: 5 of 106
  • Plant Science 2.1k
  • Cancer Research 633
  • Endocrinology 178
  • Molecular Biology 2.2k
  • Horticulture 26
Replace De-Chang Yang with:
De-Chang Yang China
Qian‐Hao Zhu Australia
Erika Varkonyi‐Gasic New Zealand
Chaojie Xie China
Longjiang Fan China
Bin Yu China
Moussa Benhamed France
Jixian Zhai China
Rebecca Schwab Germany
Peter Brodersen Denmark
Meng Yuqi relative to De-Chang Yang China De-Chang Yang's profile →
Citations per field
00.5×1.5×
De-Chang Yang · 1×
Citations per year

Countries citing papers authored by Meng Yuqi

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yuqi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 20241
2 20232
3 20201
4
PlantRegMap: charting functional regulatory maps in plants
Hit paper breakdown →
2019715
5 20181
6
CPC2: a fast and accurate coding potential calculator based on sequence intrinsic features
Hit paper breakdown →
20171000
7
PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants
Hit paper breakdown →
20161606
8 201414

About Meng Yuqi

Meng Yuqi is a scholar working on Endocrinology, Computer Science Applications, Genetics, Hematology and Cancer Research, having authored 8 papers that have together received 3.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Online Learning and Analytics (1 paper), Research in Cotton Cultivation (1 paper), Bacteriophages and microbial interactions (1 paper), Advanced MEMS and NEMS Technologies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Plant Science (2.1k citations), Cancer Research (633 citations), Endocrinology (178 citations), Molecular Biology (2.2k citations) and Horticulture (26 citations). Meng Yuqi has collaborated with scholars based in China and United States. Frequent co-authors include Ge Gao, De-Chang Yang, Feng Tian, Jinpu Jin, Lei Kong, Jingchu Luo, Liping Wei, Mei Hou, Y. James Kang and Xiaoxu Yang. Their work appears in journals such as Nucleic Acids Research, The Journal of the Acoustical Society of America, Aquaculture, PLoS Computational Biology and Biomedical Chromatography.

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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