Yīmíng Bào

27.1k total citations · 2 hit papers
102 papers, 4.7k citations indexed

About

Yīmíng Bào is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Yīmíng Bào has authored 102 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 27 papers in Plant Science and 18 papers in Ecology. Recurrent topics in Yīmíng Bào's work include Plant Virus Research Studies (23 papers), Genomics and Phylogenetic Studies (22 papers) and Bacteriophages and microbial interactions (13 papers). Yīmíng Bào is often cited by papers focused on Plant Virus Research Studies (23 papers), Genomics and Phylogenetic Studies (22 papers) and Bacteriophages and microbial interactions (13 papers). Yīmíng Bào collaborates with scholars based in China, United States and Pakistan. Yīmíng Bào's co-authors include Tatiana Tatusova, David J. Lipman, Olga Blinkova, Boris Kiryutin, Leonid Zaslavsky, J. Rodney Brister, Danso Ako-adjei, Jim Ostell, Richard S. Nelson and Zhang Zhang and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yīmíng Bào

95 papers receiving 4.6k citations

Hit Papers

The Influenza Virus Resource at the National Center for B... 2007 2026 2013 2019 2007 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yīmíng Bào China 34 2.1k 1.5k 1.1k 1.1k 565 102 4.7k
Erna Geessien Kroon Brazil 41 1.4k 0.7× 2.3k 1.5× 986 0.9× 1.3k 1.2× 929 1.6× 284 6.3k
Timothy B. Stockwell United States 34 2.0k 0.9× 1.5k 1.0× 356 0.3× 1.3k 1.3× 534 0.9× 63 4.5k
Art F. Y. Poon Canada 32 1.4k 0.7× 1.1k 0.7× 475 0.4× 1.6k 1.5× 383 0.7× 114 4.5k
Marco Vignuzzi France 42 1.7k 0.8× 932 0.6× 932 0.8× 2.7k 2.6× 433 0.8× 97 6.0k
Adam S. Lauring United States 36 1.4k 0.7× 1.3k 0.8× 493 0.4× 2.6k 2.5× 329 0.6× 98 5.1k
Louis M. Mansky United States 35 1.8k 0.8× 989 0.6× 574 0.5× 2.3k 2.2× 389 0.7× 116 5.3k
Jens Peter Christensen Denmark 41 2.1k 1.0× 704 0.5× 317 0.3× 1.1k 1.1× 420 0.7× 168 5.7k
Karla Kirkegaard United States 52 4.3k 2.0× 2.4k 1.6× 1.5k 1.3× 2.5k 2.3× 660 1.2× 94 9.4k
Harm van Bakel United States 34 2.9k 1.3× 705 0.5× 686 0.6× 687 0.7× 187 0.3× 114 4.5k
Richard Orton United Kingdom 29 1.2k 0.6× 486 0.3× 347 0.3× 1.3k 1.2× 358 0.6× 82 3.4k

Countries citing papers authored by Yīmíng Bào

Since Specialization
Citations

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

Fields of papers citing papers by Yīmíng Bào

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yīmíng Bào

This figure shows the co-authorship network connecting the top 25 collaborators of Yīmíng Bào. A scholar is included among the top collaborators of Yīmíng Bào based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yīmíng Bào. Yīmíng Bào is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Xinchang, Xuetong Zhao, Tianyi Xu, et al.. (2024). GenBase: A Nucleotide Sequence Database. Genomics Proteomics & Bioinformatics. 22(3). 12 indexed citations
2.
Wu, Song, Zhaojun Zhang, Jing Wu, et al.. (2024). EryDB: A Transcriptomic Profile Database for Erythropoiesis and Erythroid-related Diseases. Genomics Proteomics & Bioinformatics. 23(2).
3.
Nie, Zhi, Yongbing Zhao, Jialin Mai, et al.. (2024). NucMap 2.0: An Updated Database of Genome-wide Nucleosome Positioning Maps Across Species. Journal of Molecular Biology. 436(17). 168655–168655. 2 indexed citations
4.
Li, Lun, Cuiping Li, Na Li, et al.. (2024). Machine Learning Early Detection of SARS‐CoV‐2 High‐Risk Variants. Advanced Science. 11(45). e2405058–e2405058. 2 indexed citations
5.
Zhāng, Tāo, et al.. (2024). VISTA: A Tool for Fast Taxonomic Assignment of Viral Genome Sequences. Genomics Proteomics & Bioinformatics. 23(1).
6.
Sun, Wenyan, Xuetong Zhao, Nicola Dalbeth, et al.. (2024). Predictors of Inadequate Serum Urate Response to Low-Dose Febuxostat in Male Patients with Gout. Journal of Inflammation Research. Volume 17. 2657–2668. 2 indexed citations
7.
Sun, Yanling, Xinchang Zheng, Jiani Sun, et al.. (2023). MACdb: A Curated Knowledgebase for Metabolic Associations across Human Cancers. Molecular Cancer Research. 21(7). 691–697. 1 indexed citations
8.
Bu, Congfan, Xinchang Zheng, Jialin Mai, et al.. (2023). CCLHunter: An efficient toolkit for cancer cell line authentication. Computational and Structural Biotechnology Journal. 21. 4675–4682.
9.
Lin, Shiqi, Song Wu, Wei Zhao, et al.. (2023). TargetGene: a comprehensive database of cell-type-specific target genes for genetic variants. Nucleic Acids Research. 52(D1). D1072–D1081. 2 indexed citations
10.
Wu, Song, et al.. (2023). CROST: a comprehensive repository of spatial transcriptomics. Nucleic Acids Research. 52(D1). D882–D890. 36 indexed citations
11.
Zhang, Mochen, Wenting Zong, Dong Zou, et al.. (2022). MethBank 4.0: an updated database of DNA methylation across a variety of species. Nucleic Acids Research. 51(D1). D208–D216. 9 indexed citations
12.
Wu, Song, Yue Huang, Mochen Zhang, et al.. (2022). ASCancer Atlas: a comprehensive knowledgebase of alternative splicing in human cancers. Nucleic Acids Research. 51(D1). D1196–D1204. 21 indexed citations
13.
Jiang, Shuai, Qiheng Qian, Tongtong Zhu, et al.. (2022). Cell Taxonomy: a curated repository of cell types with multifaceted characterization. Nucleic Acids Research. 51(D1). D853–D860. 31 indexed citations
14.
Chen, Meili, Yingke Ma, Song Wu, et al.. (2021). Genome Warehouse: A Public Repository Housing Genome-Scale Data. Genomics Proteomics & Bioinformatics. 19(4). 584–589. 121 indexed citations
15.
Zhang, Zhang, et al.. (2020). The Elements of Data Sharing. Genomics Proteomics & Bioinformatics. 18(1). 1–4. 4 indexed citations
16.
Garnett, Stephen T., Les Christidis, Stijn Conix, et al.. (2020). Principles for creating a single authoritative list of the world’s species. PLoS Biology. 18(7). e3000736–e3000736. 66 indexed citations
17.
Liu, Yonghong, Hui Ding, Shu‐Ting Chang, et al.. (2020). Exposure to air pollution and scarlet fever resurgence in China: a six-year surveillance study. Nature Communications. 11(1). 4229–4229. 31 indexed citations
18.
Liu, Qi, Shilei Zhao, Cheng‐Min Shi, et al.. (2020). Population Genetics of SARS-CoV-2: Disentangling Effects of Sampling Bias and Infection Clusters. Genomics Proteomics & Bioinformatics. 18(6). 640–647. 25 indexed citations
19.
Wang, Guangyu, Hongyan Yin, Boyang Li, et al.. (2019). Characterization and identification of long non-coding RNAs based on feature relationship. Bioinformatics. 35(17). 2949–2956. 82 indexed citations
20.
Radoshitzky, Sheli R., Yīmíng Bào, Michael J. Buchmeier, et al.. (2015). Past, present, and future of arenavirus taxonomy. Archives of Virology. 160(7). 1851–1874. 132 indexed citations

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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