Rao Li

635 total citations
26 papers, 479 citations indexed

About

Rao Li is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Rao Li has authored 26 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Rao Li's work include Whipple's Disease and Interleukins (4 papers), Image and Signal Denoising Methods (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Rao Li is often cited by papers focused on Whipple's Disease and Interleukins (4 papers), Image and Signal Denoising Methods (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Rao Li collaborates with scholars based in China, United States and India. Rao Li's co-authors include I M Freedberg, Miroslav Blumenberg, Keji Zhao, Gangqing Hu, Jinfang Zhu, Lin Zhang, Linbo Gao, Weibo Liang, Meili Lv and Yunfeng Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Rao Li

18 papers receiving 476 citations

Peers

Rao Li
Comparison fields: 5 of 82
  • Immunology 204
  • Pathology and Forensic Medicine 104
  • Molecular Biology 90
  • Oncology 70
  • Surgery 55
Replace Dan Jun Li with:
Dan Jun Li United States
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Kazuhisa Nozawa Japan
N Karin Israel
Andrew Shearer United States
I. Palmer United Kingdom
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MA Jutila United States
Marianne Niedermeier Germany
J S Deng United States
Dan Jun Li United States View profile →
Citations per field, relative to Rao Li
Rao Li · 1×
Citations per year, relative to Rao Li
Rao Li · 1×

Countries citing papers authored by Rao Li

Since Specialization
Citations

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

Fields of papers citing papers by Rao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Rao Li. A scholar is included among the top collaborators of Rao 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 Rao Li. Rao 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 0
2 0
3 0
4 0
5 0
6 3
7 0
8 0
9 8
10 13
11 65
12 1
13 14
14 17
15 15
16 24
17 31
18 98
19
[Review of nonlinear filters for medical ultrasonic images].
1
20
Transcriptional control of K5, K6, K14, and K17 keratin genes by AP-1 and NF-kappaB family members.
66

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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