Liam Shaw

597 citations
11 papers · 500 · 1 hit paper · h-index 7

Impact in

Papers in

Liam Shaw

9 papers receiving 494 citations

Liam Shaw's Hit Papers

High efficiency perovskite quantum dot solar cells with charge separating heterostructure 2019 · 422 citations
4220+2+4Years since publication100200300400

Peers

Liam Shaw
Comparison fields: 5 of 67
  • Materials Chemistry 331
  • Polymers and Plastics 98
  • Electrical and Electronic Engineering 394
  • Immunology and Allergy 13
  • Renewable Energy, Sustainability and the Environment 35
Replace Muhammad Ejaz Khan with:
Muhammad Ejaz Khan Pakistan
Wenda Sun China
Conglin Liu China
Nishi Parikh India
Jun-Mo Yang South Korea
D. M. N. M. Dissanayake United States
Gaoyuan Chen China
Benny Joseph India
Tommaso Costanzo United States
Muhammad Farooq Nasir Pakistan
Liam Shaw relative to Muhammad Ejaz Khan Pakistan Muhammad Ejaz Khan's profile →
Citations per field
00.5×1.5×2.1×
Muhammad Ejaz Khan · 1×
Citations per year

Countries citing papers authored by Liam Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Liam Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
High efficiency perovskite quantum dot solar cells with charge separating heterostructure
Hit paper breakdown →
2019422
2 201725
3 202115
4 201910
5 20239
6 20207
7 20227
8 20183
9 20222
10 20260
11 20250

About Liam Shaw

Liam Shaw is a scholar working on Immunology and Allergy, Molecular Biology, Biotechnology, Infectious Diseases and Dermatology, having authored 11 papers that have together received 500 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), Cancer Research and Treatments (2 papers), Chalcogenide Semiconductor Thin Films (1 paper), Acne and Rosacea Treatments and Effects (1 paper), Dermatologic Treatments and Research (1 paper), Quantum Dots Synthesis And Properties (1 paper), Pediatric health and respiratory diseases (1 paper) and Geriatric Care and Nursing Homes (1 paper). The work is most often cited by research in Materials Chemistry (331 citations), Polymers and Plastics (98 citations), Electrical and Electronic Engineering (394 citations), Immunology and Allergy (13 citations) and Renewable Energy, Sustainability and the Environment (35 citations). Liam Shaw has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Glenn Teeter, Tao Song, Abhijit Hazarika, Qian Zhao, Matthew C. Beard, Joseph M. Luther, Jun Liu, Xihan Chen, Minghui Zhang and Bryon W. Larson. Their work appears in journals such as PLoS ONE, Nature Communications, Frontiers in Genetics, International Journal of Mental Health Nursing and The Pediatric Infectious Disease Journal.

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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