Liman Wang

1.6k citations
43 papers · 1.2k · h-index 15

Impact in

    • Advanced biosensing and bioanalysis techniques
    • DNA and Biological Computing
    • DNA and Nucleic Acid Chemistry
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Liman Wang

42 papers receiving 1.1k citations

Peers

Liman Wang
Comparison fields: 5 of 111
  • Molecular Biology 741
  • Biomaterials 113
  • Materials Chemistry 225
  • Biomedical Engineering 190
  • Genetics 41
Replace A. Chattopadhyay with:
A. Chattopadhyay India
Yan Deng China
Richard Luxton United Kingdom
Tianyu Li China
Tao Liao China
Hui Xie China
Chun‐Chi Wang Taiwan
Zuojun Shen China
Jungho Kim South Korea
Liman Wang relative to A. Chattopadhyay India A. Chattopadhyay's profile →
Citations per field
00.5×4.3×
A. Chattopadhyay · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000343
2 2011203
3 2014132
4 201463
5 201145
6 199734
7 200026
8 201525
9 200224
10 202022
11 200121
12 201418
13 201418
14 199216
15 200715
16 199914
17 201214
18 201911
19 199811
20 199711

About Liman Wang

Liman Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Plant Science and Infectious Diseases, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), DNA and Biological Computing (5 papers), Research in Cotton Cultivation (4 papers), Renin-Angiotensin System Studies (4 papers), Ocular Diseases and Behçet’s Syndrome (4 papers), Plant Virus Research Studies (3 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Molecular Biology (741 citations), Biomaterials (113 citations), Materials Chemistry (225 citations), Biomedical Engineering (190 citations) and Genetics (41 citations). Liman Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lloyd M. Smith, Anne Condon, Robert M. Corn, Qinghua Liu, Anthony G. Frutos, Wei Chen, Xinhua Lin, Juan Chen, Ai‐Lin Liu and Caiping Cai. Their work appears in journals such as Journal of the American Chemical Society, Biosystems, BMC Plant Biology, PLoS ONE and Human Gene Therapy.

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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