Liman Wang

1.5k citations
42 papers · 1.3k · h-index 16

Impact in

    • DNA and Biological Computing
    • Advanced biosensing and bioanalysis techniques
    • Hydrogels: synthesis, properties, applications

Papers in

Liman Wang

39 papers receiving 1.2k citations

Peers

Liman Wang
Comparison fields: 5 of 88
  • Molecular Biology 582
  • Molecular Medicine 53
  • Materials Chemistry 203
  • Genetics 39
  • Ophthalmology 32
Replace Guangyin Zhou with:
Guangyin Zhou United States
Hui Min Xie China
Meng Song China
Jiajing Liu China
Xudong Peng China
Tiehua Du Singapore
Xiaoqian Yu China
Francesca Romana Bertani Italy
Xue Bai China
Noriyuki Watanabe Japan
Liman Wang relative to Guangyin Zhou United States Guangyin Zhou's profile →
Citations per field
00.5×2×4×6.5×
Guangyin Zhou · 1×
Citations per year

Countries citing papers authored by Liman Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liman Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000401
2 2011214
3 2014141
4 201467
5 201150
6 199734
7 200026
8 200126
9 201526
10 202025
11 200224
12 201421
13 199918
14 201418
15 199216
16 199916
17 200715
18 201214
19 201912
20 202012

About Liman Wang

Liman Wang is a scholar working on Cardiology and Cardiovascular Medicine, Ophthalmology, Molecular Biology, Plant Science and Biochemistry, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (5 papers), DNA and Biological Computing (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers), Renin-Angiotensin System Studies (4 papers), Molecular Biology Techniques and Applications (3 papers), Takotsubo Cardiomyopathy and Associated Phenomena (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Molecular Biology (582 citations), Molecular Medicine (53 citations), Materials Chemistry (203 citations), Genetics (39 citations) and Ophthalmology (32 citations). Liman Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Lloyd M. Smith, Anne Condon, Robert M. Corn, Anthony G. Frutos, Wei Chen, Ai‐Lin Liu, Xinhua Lin, Juan Chen, Wangzhen Guo and Caiping Cai. Their work appears in journals such as Biosystems, Journal of the American Chemical Society, PLoS ONE, Cancer Management and Research and Journal of Integrative Agriculture.

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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