Biaobin Jiang

778 total citations
11 papers, 221 citations indexed

About

Biaobin Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Biaobin Jiang has authored 11 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Biaobin Jiang's work include Bioinformatics and Genomic Networks (4 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). Biaobin Jiang is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). Biaobin Jiang collaborates with scholars based in China, Hong Kong and United States. Biaobin Jiang's co-authors include Jiguang Wang, Michael Gribskov, Kyle Kloster, David F. Gleich, Zunfu Ke, Yu Guo, Jun Yu, Ming Kuang, Zhenwei Peng and Minghui He and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Biaobin Jiang

11 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biaobin Jiang China	6	96	67	40	32	32	11	221
Hang Xu China	9	460 4.8×	108 1.6×	30 0.8×	24 0.8×	20 0.6×	19	629
Weiqing Li China	9	128 1.3×	109 1.6×	30 0.8×	29 0.9×	26 0.8×	22	299
Bhawana George United States	9	144 1.5×	40 0.6×	12 0.3×	16 0.5×	48 1.5×	15	289
Michael Ernst United States	4	123 1.3×	46 0.7×	6 0.1×	30 0.9×	53 1.7×	14	228
Qiuping Dong China	12	215 2.2×	90 1.3×	6 0.1×	35 1.1×	70 2.2×	22	325
Giuseppe Pasculli Italy	10	79 0.8×	19 0.3×	21 0.5×	137 4.3×	11 0.3×	24	365
Kevin Boehm United States	5	135 1.4×	89 1.3×	6 0.1×	67 2.1×	56 1.8×	8	433
Xinya Zhao China	8	47 0.5×	30 0.4×	41 1.0×	58 1.8×	79 2.5×	32	259
Huan-Chang Liang Austria	4	74 0.8×	44 0.7×	5 0.1×	24 0.8×	42 1.3×	5	255

Countries citing papers authored by Biaobin Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Biaobin Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biaobin Jiang

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

All Works

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11 of 11 papers shown

Zhao, Kangfei, et al.. (2023). Geometric Graph Learning for Protein Mutation Effect Prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3412–3422. 2 indexed citations

Zhou, Zijing, Xiaojie Yu, Biaobin Jiang, et al.. (2021). Alternative Splicing of Three Genes Encoding Mechanotransduction-Complex Proteins in Auditory Hair Cells. eNeuro. 8(1). ENEURO.0381–20.2020. 5 indexed citations

Jiang, Biaobin, Quanhua Mu, Xuefeng Li, et al.. (2021). Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors. Nature Communications. 12(1). 6692–6692. 25 indexed citations

Li, Hao, Yoonhee Nam, Ran Huo, et al.. (2021). De Novo Germline and Somatic Variants Convergently Promote Endothelial-to-Mesenchymal Transition in Simplex Brain Arteriovenous Malformation. Circulation Research. 129(9). 825–839. 32 indexed citations

Cheung, Peter Pak‐Hang, Biaobin Jiang, Gregory T. Booth, et al.. (2020). Identifying Transcription Error-Enriched Genomic Loci Using Nuclear Run-on Circular-Sequencing Coupled with Background Error Modeling. Journal of Molecular Biology. 432(13). 3933–3949. 2 indexed citations

Jiang, Biaobin, Song Dong, Quanhua Mu, & Jiguang Wang. (2020). CELLO: a longitudinal data analysis toolbox untangling cancer evolution. Quantitative Biology. 8(3). 256–266. 1 indexed citations

He, Minghui, Zihao Dai, Jun Yu, et al.. (2019). Genomic and transcriptional heterogeneity of multifocal hepatocellular carcinoma. Annals of Oncology. 30(6). 990–997. 90 indexed citations

B, Wu, et al.. (2017). [The comparation of fusion targeting biopsy and systematic biopsy in the clinical diagnosis of prostate cancer: a meta-analysis].. PubMed. 97(22). 1694–1698. 1 indexed citations

Jiang, Biaobin, Kyle Kloster, David F. Gleich, & Michael Gribskov. (2017). AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinformatics. 33(12). 1829–1836. 42 indexed citations

10.

Jiang, Biaobin & Michael Gribskov. (2014). Assessment of Subnetwork Detection Methods for Breast Cancer. Cancer Informatics. 13s6(Suppl 6). CIN.S17641–CIN.S17641. 7 indexed citations

11.

Jiang, Biaobin, Jiguang Wang, Jingfa Xiao, & Yong Wang. (2009). Gene Prioritization for Type 2 Diabetes in Tissue-specific Protein Interaction Networks ∗. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11. 319. 14 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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