Bairong Shen

8.9k total citations · 1 hit paper
316 papers, 6.1k citations indexed

About

Bairong Shen is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Bairong Shen has authored 316 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Molecular Biology, 68 papers in Cancer Research and 27 papers in Genetics. Recurrent topics in Bairong Shen's work include Bioinformatics and Genomic Networks (49 papers), MicroRNA in disease regulation (38 papers) and Cancer-related molecular mechanisms research (34 papers). Bairong Shen is often cited by papers focused on Bioinformatics and Genomic Networks (49 papers), MicroRNA in disease regulation (38 papers) and Cancer-related molecular mechanisms research (34 papers). Bairong Shen collaborates with scholars based in China, India and United States. Bairong Shen's co-authors include Jiajia Chen, Yuxin Lin, Fei Zhu, Wenying Yan, Mauno Vihinen, Fei Ye, Quan Liu, Wenyu Zhang, Rajeev K. Singla and Guang Hu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Bairong Shen

293 papers receiving 6.0k citations

Hit Papers

Electrocardiogram generation with a bidirectional LSTM-CN... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Bairong Shen
Comparison fields: 5 of 201
  • Molecular Biology 3.7k
  • Cancer Research 1.4k
  • Pulmonary and Respiratory Medicine 490
  • Genetics 467
  • Computational Theory and Mathematics 346
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Mario Medvedovic United States
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Youping Deng United States View profile →
Citations per field, relative to Bairong Shen
Bairong Shen · 1×
Citations per year, relative to Bairong Shen
Bairong Shen · 1×

Countries citing papers authored by Bairong Shen

Since Specialization
Citations

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

Fields of papers citing papers by Bairong Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bairong Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Bairong Shen. A scholar is included among the top collaborators of Bairong Shen 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 Bairong Shen. Bairong Shen 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 0
2 1
3 1
4 2
5 4
6 0
7 5
8 1
9 0
10 16
11 22
12 6
13 6
14 16
15 8
16 30
17
PRPF40A as a potential diagnostic and prognostic marker is upregulated in pancreatic cancer tissues and cell lines: an integrated bioinformatics data analysis
2
18 26
19 7
20 61

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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