Dory Sample

13 papers receiving 758 citations

Peers

Dory Sample
Comparison fields: 5 of 50
  • Otorhinolaryngology 286
  • Pathology and Forensic Medicine 148
  • Gastroenterology 44
  • Cancer Research 83
  • Pharmacology 52
Replace Thomas C. Putti with:
Thomas C. Putti Singapore
Diana M. Lawrence United States
Diego J. Muilenburg United States
Yasutoshi Sakamoto Japan
Takashi Kanematsu Japan
Otávio Alberto Curioni Brazil
Yuming Rong China
P Haegèle France
Jack Lee United States
Dory Sample relative to Thomas C. Putti Singapore Thomas C. Putti's profile →
Citations per field
00.5×2×4×6×7×
Thomas C. Putti · 1×
Citations per year

Countries citing papers authored by Dory Sample

Since Specialization
Citations

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

Fields of papers citing papers by Dory Sample

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1998256
2 1999207
3
Mutagen sensitivity in upper aerodigestive tract cancer: a case-control analysis.
199396
4 201367
5
Association between family history of cancer and mutagen sensitivity in upper aerodigestive tract cancer patients.
199353
6
A dose-finding study of aspirin for chemoprevention utilizing rectal mucosal prostaglandin E(2) levels as a biomarker.
200246
7 201637
8
Post-study aspirin intake and factors motivating participation in a colorectal cancer chemoprevention trial.
200214
9 20168
10 20216
11 19934
12 20193
13
Hospice: one choice for the end-stage head and neck cancer patient.
19942

About Dory Sample

Dory Sample is a scholar working on Otorhinolaryngology, Gastroenterology, Cancer Research, Pharmacology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 799 indexed citations. Recurring topics across this work include Celiac Disease Research and Management (3 papers), Head and Neck Cancer Studies (3 papers), Inflammatory mediators and NSAID effects (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Helicobacter pylori-related gastroenterology studies (1 paper), Nerve injury and regeneration (1 paper), Gut microbiota and health (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Otorhinolaryngology (286 citations), Pathology and Forensic Medicine (148 citations), Gastroenterology (44 citations), Cancer Research (83 citations) and Pharmacology (52 citations). Dory Sample has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Patti Hankins, Robert M. Byers, Pat Wolf, Terry L. Smith, Nicholas H. A. Terry, Bruno D. Fornage, Ya-Yen Lee, Adel K. El‐Naggar, Susan Halabi and Tsai‐Ching Hsu. Their work appears in journals such as The Laryngoscope, Digestive Diseases and Sciences, Annals of Internal Medicine, Head & Neck and Trials.

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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