Bo Li

7.7k citations
198 papers · 4.3k indexed · 1 hit paper · h-index 33

Impact in

    • Metabolomics and Mass Spectrometry Studies
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Genomics and Phylogenetic Studies
    • Protein Hydrolysis and Bioactive Peptides

Papers in

Bo Li

181 papers receiving 4.2k citations

Hit Papers

Role of estrogen receptors in health and disease 2022 · 149 citations
14920222026202320244080120

Peers

Bo Li
Comparison fields: 5 of 183
  • Molecular Biology 2.3k
  • Cancer Research 414
  • Computational Theory and Mathematics 333
  • Biological Psychiatry 50
  • Pharmacology 166
Replace Yunjie Zhao with:
Yunjie Zhao China
Reinhard Schneider Germany
Lu Liang China
Junjun Liu China
Peter M. Fischer United Kingdom
Cheng Zhang China
Yumin Zhang China
Rui‐Sheng Wang United States
Gong Chen China
Mathias Schäfer Germany
Bo Li relative to Yunjie Zhao China Yunjie Zhao's profile →
Citations per field
00.5×2.8×
Yunjie Zhao · 1×
Citations per year

Countries citing papers authored by Bo Li

Since Specialization
Citations

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

Fields of papers citing papers by Bo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202510
2 20243
3 20240
4 20245
5 20241
6 20246
7 20243
8 20240
9 20242
10 202357
11 202318
12 202318
13 20225
14 20225
15 202213
16 20205
17 202039
18 202017
19
Queueing Process Sensing and Prediction at Intersection Based on Video
20202
20 20112

About Bo Li

Bo Li is a scholar working on Pharmacology, Cancer Research, Molecular Biology, Endocrinology, Diabetes and Metabolism and Computational Theory and Mathematics, having authored 198 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Genomics and Phylogenetic Studies (12 papers), Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Protein Hydrolysis and Bioactive Peptides (8 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cancer Research (414 citations), Computational Theory and Mathematics (333 citations), Biological Psychiatry (50 citations) and Pharmacology (166 citations). Bo Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Feng Zhu, Weiwei Xue, Qingxia Yang, Jing Tang, Yu Chen, Xuejiao Cui, Yinghong Li, Chonggang Wang, K. Sohraby and Ling Ouyang. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, PLoS ONE, Computers in Biology and Medicine and International Journal of Molecular Sciences.

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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