Bingbo Wang

735 citations
29 papers · 544 · h-index 12

Impact in

Papers in

    • Bioinformatics and Genomic Networks 23
    • Gene expression and cancer classification 10
    • Gene Regulatory Network Analysis 6
    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 4
    • Biomedical Text Mining and Ontologies 3
    • Complex Network Analysis Techniques 7

Bingbo Wang

27 papers receiving 536 citations

Peers

Bingbo Wang
Comparison fields: 5 of 88
  • Cancer Research 147
  • Statistical and Nonlinear Physics 86
  • Molecular Biology 378
  • Computational Theory and Mathematics 77
  • Computer Networks and Communications 55
Replace Haiyan Hu with:
Haiyan Hu United States
Vincenzo Bonnici Italy
Malay Bhattacharyya India
Bihai Zhao China
Zahra Razaghi‐Moghadam Germany
Jiancheng Zhong China
Laura Cantini France
Bahar Yilmazel United States
Bingbo Wang relative to Haiyan Hu United States Haiyan Hu's profile →
Citations per field
00.5×2.9×
Haiyan Hu · 1×
Citations per year

Countries citing papers authored by Bingbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bingbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 201542
3 201641
4 201939
5 201237
6 201432
7 201330
8 201629
9 201727
10 201625
11 201324
12 201812
13 202111
14 20128
15 20208
16 20207
17 20157
18 20145
19 20214
20 20184

About Bingbo Wang

Bingbo Wang is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Cancer Research and Computer Networks and Communications, having authored 29 papers that have together received 544 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Gene expression and cancer classification (10 papers), Complex Network Analysis Techniques (7 papers), Computational Drug Discovery Methods (6 papers), Gene Regulatory Network Analysis (6 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Cancer Research (147 citations), Statistical and Nonlinear Physics (86 citations), Molecular Biology (378 citations), Computational Theory and Mathematics (77 citations) and Computer Networks and Communications (55 citations). Bingbo Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lin Gao, Xingli Guo, Yue Deng, Liang Yu, Fei Song, Xinghua Shi, Hao Wu, Xiaofei Yang, Yong Gao and Xiaoke Ma. Their work appears in journals such as PLoS ONE, BMC Systems Biology, Physica A Statistical Mechanics and its Applications, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Frontiers in Genetics.

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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