T. A. Dyer

2.3k citations
24 papers · 1.7k · 1 hit paper · h-index 15

Impact in

Papers in

T. A. Dyer

24 papers receiving 1.6k citations

T. A. Dyer's Hit Papers

The Phylogeny of Prokaryotes 1980 · 1.1k citations
1.1k0+15+30Years since publication2505007501000

Peers

T. A. Dyer
Comparison fields: 5 of 153
  • Periodontics 217
  • Oral Surgery 222
  • General Dentistry 50
  • Anesthesiology and Pain Medicine 93
  • Health Informatics 21
Replace SS Bettiol with:
SS Bettiol Australia
Luisa Caponecchia Italy
Helen Chapman United Kingdom
Dana E. Hunt United States
Mariano Cingolani Italy
Jacob Thomas United States
Carlo Pietro Campobasso Italy
Ron Sender Israel
Frances Chu United States
C. U. Lowe United States
T. A. Dyer relative to SS Bettiol Australia SS Bettiol's profile →
Citations per field
00.5×10×15×18.6×
SS Bettiol · 1×
Citations per year

Countries citing papers authored by T. A. Dyer

Since Specialization
Citations

This map shows the geographic impact of T. A. Dyer'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 T. A. Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. Dyer more than expected).

Fields of papers citing papers by T. A. Dyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. Dyer. 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 T. A. Dyer. The network helps show where T. A. Dyer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Phylogeny of Prokaryotes
Hit paper breakdown →
19801110
2 2009180
3 200652
4 201249
5 201633
6 200632
7 202129
8 201629
9 202128
10 201428
11 201027
12 201321
13 201016
14 201215
15 201014
16 202112
17 200910
18 20089
19 20108
20
The self-reported oral health status and dental attendance of smokers and non-smokers.
20137

About T. A. Dyer

T. A. Dyer is a scholar working on General Health Professions, Periodontics, Economics and Econometrics, Oral Surgery and Anesthesiology and Pain Medicine, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dental Health and Care Utilization (10 papers), Patient Satisfaction in Healthcare (5 papers), Healthcare Policy and Management (4 papers), Dental Anxiety and Anesthesia Techniques (4 papers), Dental Education, Practice, Research (3 papers), COVID-19 diagnosis using AI (2 papers), Airway Management and Intubation Techniques (2 papers) and Health Promotion and Cardiovascular Prevention (2 papers). The work is most often cited by research in Periodontics (217 citations), Oral Surgery (222 citations), General Dentistry (50 citations), Anesthesiology and Pain Medicine (93 citations) and Health Informatics (21 citations). T. A. Dyer has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter G. Robinson, Gerry Humphris, Erko Stackebrandt, Linda J. Magrum, C R Woese, Linda Bonen, L. Zablen, Robert B. Hespell, Jack Maniloff and Robert J. Blakemore. Their work appears in journals such as BDJ, Clinical Radiology, Neuroradiology, Community Dentistry And Oral Epidemiology and Science.

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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