Bi‐Ling Liang

1.3k citations
43 papers · 1.0k · h-index 17

Impact in

Papers in

    • Nanoparticle-Based Drug Delivery 7
    • Hemoglobinopathies and Related Disorders 3

Bi‐Ling Liang

43 papers receiving 1.0k citations

Peers

Bi‐Ling Liang
Comparison fields: 5 of 84
  • Biomaterials 276
  • Obstetrics and Gynecology 89
  • Radiology, Nuclear Medicine and Imaging 215
  • Molecular Medicine 44
  • Genetics 80
Replace Ayako Nishimoto with:
Ayako Nishimoto Japan
Carola Heneweer Germany
Keren M. Abberton Australia
Ilkka Kaartinen Finland
Paul Christopher Lyon United Kingdom
Nynke M. S. van den Akker Netherlands
Xiaoli Wei China
Lijun Wu China
Adam C. Vandergriff United States
Ghasem Yazdanpanah United States
Bi‐Ling Liang relative to Ayako Nishimoto Japan Ayako Nishimoto's profile →
Citations per field
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Ayako Nishimoto · 1×
Citations per year

Countries citing papers authored by Bi‐Ling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Bi‐Ling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi‐Ling Liang. 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 Bi‐Ling Liang. The network helps show where Bi‐Ling Liang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009126
2 200899
3 200886
4 201084
5 201363
6 201162
7 200954
8 201046
9 201143
10 201232
11 201630
12 201030
13 201329
14 201025
15 201123
16
Magnetic resonance imaging evaluation of acute crush injury of rabbit sciatic nerve: correlation with histology.
200818
17 200917
18 201516
19 201615
20 201414

About Bi‐Ling Liang

Bi‐Ling Liang is a scholar working on Biomaterials, Genetics, Radiology, Nuclear Medicine and Imaging, Rheumatology and Molecular Medicine, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), RNA Interference and Gene Delivery (3 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Cancer Research and Treatments (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Soft tissue tumor case studies (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Biomaterials (276 citations), Obstetrics and Gynecology (89 citations), Radiology, Nuclear Medicine and Imaging (215 citations), Molecular Medicine (44 citations) and Genetics (80 citations). Bi‐Ling Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Shen, Xintao Shuai, Jianyu Chen, Yun Zhang, Zehong Yang, Qiquan Sun, Guobin Hong, Renxu Yuan, Chengde Liao and Xiaoyun Xiao. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Journal of Radiology, Journal of Materials Chemistry, International Journal of Nanomedicine and Gene.

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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