Changhui Yan

1.8k citations
67 papers · 1.3k · h-index 18

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing
    • Wheat and Barley Genetics and Pathology

Papers in

    • Machine Learning in Bioinformatics 20
    • Protein Structure and Dynamics 18
    • RNA and protein synthesis mechanisms 18
    • Genomics and Phylogenetic Studies 12
    • Bioinformatics and Genomic Networks 6
    • Mycotoxins in Agriculture and Food 7
    • Wheat and Barley Genetics and Pathology 5

Changhui Yan

62 papers receiving 1.2k citations

Peers

Changhui Yan
Comparison fields: 5 of 115
  • Molecular Biology 845
  • Plant Science 327
  • Computational Theory and Mathematics 129
  • Cell Biology 84
  • Health, Toxicology and Mutagenesis 39
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Citations per field
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Citations per year

Countries citing papers authored by Changhui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Changhui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006134
2 2007122
3 2006121
4 2004101
5 200085
6 200646
7 201444
8 201743
9 201134
10 201534
11 201432
12 200532
13 201627
14 201226
15 201825
16 201624
17 201722
18 201020
19 200717
20 201517

About Changhui Yan

Changhui Yan is a scholar working on Molecular Biology, Plant Science, Computational Theory and Mathematics, Cell Biology and Genetics, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers), RNA and protein synthesis mechanisms (18 papers), Genomics and Phylogenetic Studies (12 papers), Computational Drug Discovery Methods (9 papers), Mycotoxins in Agriculture and Food (7 papers), Bioinformatics and Genomic Networks (6 papers) and Wheat and Barley Genetics and Pathology (5 papers). The work is most often cited by research in Molecular Biology (845 citations), Plant Science (327 citations), Computational Theory and Mathematics (129 citations), Cell Biology (84 citations) and Health, Toxicology and Mutagenesis (39 citations). Changhui Yan has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Vasant Honavar, Drena Dobbs, Robert L. Jernigan, Feihong Wu, Michael Terribilini, Jae‐Hyung Lee, Yao‐Ren Dai, Jing Hu, Ruihua Tian and Guiyou Zhang. Their work appears in journals such as BMC Bioinformatics, Theoretical and Applied Genetics, The Protein Journal, Toxicology in Vitro and Fungal Genetics and Biology.

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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