Yibo Dong

1.2k total citations · 1 hit paper
19 papers, 568 citations indexed

About

Yibo Dong is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Yibo Dong has authored 19 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Yibo Dong's work include Genomics and Phylogenetic Studies (8 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Yibo Dong is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Yibo Dong collaborates with scholars based in United States, China and Canada. Yibo Dong's co-authors include Xiaoming Liu, Yi-Cheng Tu, Chang Li, Chengcheng Mou, Yong‐Bi Fu, Gregory W. Peterson, Qiu‐Yun Xiang, Ping Li, Wenbin Zhou and Chao Chen and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Yibo Dong

19 papers receiving 564 citations

Hit Papers

dbNSFP v4: a comprehensiv... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yibo Dong United States 10 295 284 152 54 52 19 568
Hongzheng Dai United States 14 481 1.6× 263 0.9× 97 0.6× 59 1.1× 21 0.4× 43 663
Yontao Lu United States 8 496 1.7× 351 1.2× 196 1.3× 81 1.5× 31 0.6× 8 843
Qingrun Zhang United States 10 421 1.4× 244 0.9× 196 1.3× 78 1.4× 33 0.6× 23 745
Petr Divina Czechia 11 307 1.0× 296 1.0× 77 0.5× 31 0.6× 43 0.8× 12 547
Osamu Nakabayashi Japan 13 320 1.1× 352 1.2× 75 0.5× 50 0.9× 35 0.7× 16 666
Wes Warren United States 5 306 1.0× 369 1.3× 212 1.4× 49 0.9× 41 0.8× 8 544
Valeria Merico Italy 20 568 1.9× 210 0.7× 134 0.9× 53 1.0× 22 0.4× 47 1.0k
Michael S. Kuehn United States 5 874 3.0× 256 0.9× 203 1.3× 117 2.2× 29 0.6× 5 1.1k
Mathew A. Sloane Australia 14 548 1.9× 232 0.8× 89 0.6× 134 2.5× 85 1.6× 21 841
Christina M. Middle United States 6 629 2.1× 395 1.4× 176 1.2× 139 2.6× 17 0.3× 6 861

Countries citing papers authored by Yibo Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yibo Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yibo Dong. A scholar is included among the top collaborators of Yibo Dong 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 Yibo Dong. Yibo Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Yao, Ye, Yong Cao, Yibo Dong, & Hua Yan. (2025). A graph neural network and Transformer-based model for PM2.5 prediction through spatiotemporal correlation. Environmental Modelling & Software. 191. 106501–106501. 5 indexed citations
2.
Schmedes, Sarah E., et al.. (2024). Detection of resistance to macrolides and fluoroquinolones in Mycoplasma genitalium by targeted next-generation sequencing. Microbiology Spectrum. 12(3). e0384523–e0384523. 9 indexed citations
3.
Wang, Chengqi, Yibo Dong, Chang Li, et al.. (2023). MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites. Genome biology. 24(1). 1 indexed citations
4.
5.
Dong, Yibo, et al.. (2022). Analysis of data consistency identifies measurement abnormality in Howells' craniometric test data set. American Journal of Biological Anthropology. 179(4). 687–692. 1 indexed citations
6.
Nandety, Raja Sekhar, Upinder Gill, Nick Krom, et al.. (2022). Comparative Genome Analyses of Plant Rust Pathogen Genomes Reveal a Confluence of Pathogenicity Factors to Quell Host Plant Defense Responses. Plants. 11(15). 1962–1962. 3 indexed citations
7.
Dong, Yibo & Chao Chen. (2022). Comprehensive Profiling of Paper Mulberry (Broussonetia papyrifera) Crotonylome Reveals the Significance of Lysine Crotonylation in Young Leaves. International Journal of Molecular Sciences. 23(3). 1173–1173. 4 indexed citations
8.
Dong, Yibo, Ping Li, Ping Li, & Chao Chen. (2021). First comprehensive analysis of lysine succinylation in paper mulberry (Broussonetia papyrifera). BMC Genomics. 22(1). 255–255. 13 indexed citations
9.
Chen, Chao, et al.. (2021). A comprehensive examination of the lysine acetylation targets in paper mulberry based on proteomics analyses. PLoS ONE. 16(3). e0240947–e0240947. 8 indexed citations
10.
Dong, Yibo, Chang Li, Kami Kim, Liwang Cui, & Xiaoming Liu. (2021). Genome annotation of disease-causing microorganisms. Briefings in Bioinformatics. 22(2). 845–854. 12 indexed citations
11.
Liu, Xiang, Zhi‐Yuan Du, Yibo Dong, et al.. (2021). Comprehending Cornales: phylogenetic reconstruction of the order using the Angiosperms353 probe set. American Journal of Botany. 108(7). 1112–1121. 27 indexed citations
12.
Dong, Yibo, et al.. (2021). A Deep Learning Model for Ancestry Estimation with Craniometric Measurements. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3350–3357. 3 indexed citations
13.
Liu, Xiaoming, Chang Li, Chengcheng Mou, Yibo Dong, & Yi-Cheng Tu. (2020). dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs. Genome Medicine. 12(1). 103–103. 304 indexed citations breakdown →
14.
Dai, Xinbin, et al.. (2020). LegumeIP V3: from models to crops—an integrative gene discovery platform for translational genomics in legumes. Nucleic Acids Research. 49(D1). D1472–D1479. 18 indexed citations
15.
Dong, Yibo, Shichao Chen, Shifeng Cheng, et al.. (2019). Natural selection and repeated patterns of molecular evolution following allopatric divergence. eLife. 8. 17 indexed citations
16.
Zhou, Wenbin, et al.. (2018). Resolving relationships and phylogeographic history of the Nyssa sylvatica complex using data from RAD-seq and species distribution modeling. Molecular Phylogenetics and Evolution. 126. 1–16. 31 indexed citations
17.
Fu, Yong‐Bi, et al.. (2016). Multiplexed shotgun sequencing reveals congruent three-genome phylogenetic signals for four botanical sections of the flax genus Linum. Molecular Phylogenetics and Evolution. 101. 122–132. 10 indexed citations
18.
Fu, Yong‐Bi, Gregory W. Peterson, & Yibo Dong. (2016). Increasing Genome Sampling and Improving SNP Genotyping for Genotyping-by-Sequencing with New Combinations of Restriction Enzymes. G3 Genes Genomes Genetics. 6(4). 845–856. 19 indexed citations
19.
Peterson, Gregory W., et al.. (2014). Genotyping-By-Sequencing for Plant Genetic Diversity Analysis: A Lab Guide for SNP Genotyping. Diversity. 6(4). 665–680. 82 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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