Tar C. Aw

612 citations
11 papers · 477 · h-index 9

Impact in

Papers in

Tar C. Aw

11 papers receiving 444 citations

Peers

Tar C. Aw
Comparison fields: 5 of 52
  • Orthodontics 325
  • General Dentistry 43
  • Oral Surgery 136
  • Complementary and Manual Therapy 33
  • Periodontics 57
Replace Mateus Rodrigues Tonetto with:
Mateus Rodrigues Tonetto Brazil
Mark W. Richards United States
Fredrik Bergstrand Sweden
Glenn E. Gordon United States
Mübin Soyman Türkiye
Edoardo Ferrari Cagidiaco Italy
George C. Cho United States
Bernard G.N. Smith United Kingdom
Lídia Parsekian Martins Brazil
Sigfús Þór Elíasson Iceland
Tar C. Aw relative to Mateus Rodrigues Tonetto Brazil Mateus Rodrigues Tonetto's profile →
Citations per field
00.5×1.6×
Mateus Rodrigues Tonetto · 1×
Citations per year

Countries citing papers authored by Tar C. Aw

Since Specialization
Citations

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

Fields of papers citing papers by Tar C. Aw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tar C. Aw. 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 Tar C. Aw. The network helps show where Tar C. Aw may publish in the future.

Co-authors

The 8 scholars most cited alongside Tar C. Aw, 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 Tar C. Aw Line = papers co-authored together Tar C. Aw links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2002154
2 201079
3 200361
4 200552
5 200240
6 200335
7 199823
8 199715
9
One-year clinical evaluation of an ethanol-based and a solvent-free dentin adhesive.
200413
10 20034
11
Using a Neural Network Expert System in Grading Dental Cavity Preparations
19961

About Tar C. Aw

Tar C. Aw is a scholar working on Orthodontics, General Dentistry, Periodontics, Emergency Medical Services and Oral Surgery, having authored 11 papers that have together received 477 indexed citations. Recurring topics across this work include Dental materials and restorations (7 papers), Dental Erosion and Treatment (2 papers), Dental Radiography and Imaging (1 paper), Dental Trauma and Treatments (1 paper), Engineering Technology and Methodologies (1 paper), Dental Research and COVID-19 (1 paper), Oral microbiology and periodontitis research (1 paper) and Dental Implant Techniques and Outcomes (1 paper). The work is most often cited by research in Orthodontics (325 citations), General Dentistry (43 citations), Oral Surgery (136 citations), Complementary and Manual Therapy (33 citations) and Periodontics (57 citations). Tar C. Aw has collaborated with scholars based in United States and Peru. Frequent co-authors include Xavier Lepe, Glen Johnson, Lloyd Mancl, John C. Berg, Peter Milgrom, Jack I. Nicholls, Peter Yaman and Joseph B. Dennison. Their work appears in journals such as Journal of Prosthetic Dentistry, The Journal of the American Dental Association, Journal of Dental Research, PubMed and Journal of Clinical Laser Medicine & Surgery.

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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