Biao Li

11.7k total citations · 1 hit paper
387 papers, 7.4k citations indexed

About

Biao Li is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Biao Li has authored 387 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 66 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Genetics. Recurrent topics in Biao Li's work include Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Cancer, Hypoxia, and Metabolism (19 papers). Biao Li is often cited by papers focused on Medical Imaging Techniques and Applications (35 papers), Radiomics and Machine Learning in Medical Imaging (30 papers) and Cancer, Hypoxia, and Metabolism (19 papers). Biao Li collaborates with scholars based in China, United States and Switzerland. Biao Li's co-authors include Sean D. Mooney, Predrag Radivojac, D.N. Cooper, Matthew Mort, Min Zhang, Vidhya G. Krishnan, Fuxiao Xin, Sheng Liang, Rui Guo and Xudong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Biao Li

363 papers receiving 7.3k citations

Hit Papers

Automated inference of molecular mechanisms of disease fr... 2009 2026 2014 2020 2009 200 400 600

Peers

Biao Li
Comparison fields: 5 of 184
  • Molecular Biology 3.1k
  • Cancer Research 1.2k
  • Genetics 915
  • Epidemiology 893
  • Physiology 796
Replace He Wang with:
He Wang China
Jin Kim South Korea
Xuefeng Liu United States
Juan Wang China
Johannes Haybaeck Austria
Bin Lü China
Ikuo Morita Japan
Costantino Pitzalis United Kingdom
Liu Yang China
J. Steven Alexander United States
He Wang China View profile →
Citations per field, relative to Biao Li
Biao Li · 1×
Citations per year, relative to Biao Li
Biao Li · 1×

Countries citing papers authored by Biao Li

Since Specialization
Citations

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

Fields of papers citing papers by Biao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Li. A scholar is included among the top collaborators of Biao Li 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 Biao Li. Biao Li 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
# Work Indexed citations
1 2
2 0
3 0
4 3
5 2
6 10
7 1
8 5
9 6
10 16
11 4
12 6
13 2
14 1
15 8
16 10
17 36
18 21
19
[Cloning and expression analysis of a calcium-dependent protein kinase gene in Dendrobium officinale in response to mycorrhizal fungal infection].
1
20
Automated inference of molecular mechanisms of disease from amino acid substitutions breakdown →
623

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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