D T Wong

424 citations
9 papers · 306 · h-index 7

Impact in

Papers in

D T Wong

9 papers receiving 302 citations

Peers

D T Wong
Comparison fields: 5 of 51
  • Otorhinolaryngology 49
  • Periodontics 38
  • Oral Surgery 34
  • Oncology 122
  • Biotechnology 17
Replace Vali A. Papadimitrakopoulou with:
Vali A. Papadimitrakopoulou United States
Richard Che-Shoa Chang Taiwan
Wenxiao Dai China
Monica Charlotte Solomon India
Jason Tasoulas United States
Karl Metzger Germany
I. Gina Rojas Chile
Xiaolong Cheng China
Oliver Siefer Germany
D T Wong relative to Vali A. Papadimitrakopoulou United States Vali A. Papadimitrakopoulou's profile →
Citations per field
00.5×4.3×
Vali A. Papadimitrakopoulou · 1×
Citations per year

Countries citing papers authored by D T Wong

Since Specialization
Citations

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

Fields of papers citing papers by D T Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002108
2 200280
3
Reduction of p12DOC-1 expression is a negative prognostic indicator in patients with surgically resected oral squamous cell carcinoma.
200139
4 200223
5
p63 expression is associated with p53 loss in oral-esophageal epithelia of p53-deficient mice.
200123
6
Detection of Ki-ras messenger RNA in normal and chemically transformed hamster oral keratinocytes.
198916
7 20217
8 20216
9 20224

About D T Wong

D T Wong is a scholar working on Molecular Biology, Oncology, Biotechnology, Surgery and Pathology and Forensic Medicine, having authored 9 papers that have together received 306 indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Urologic and reproductive health conditions (1 paper), Glycosylation and Glycoproteins Research (1 paper), Schizophrenia research and treatment (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Otorhinolaryngology (49 citations), Periodontics (38 citations), Oral Surgery (34 citations), Oncology (122 citations) and Biotechnology (17 citations). D T Wong has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Randy Todd, O Opitz, Anil K. Rustgi, Karl Münger, Mariko Mihara, Satoru Shintani, Akihisa Kiyota, Tomohiro Matsumura, Yoshiya Ueyama and Hiroe Ohyama. Their work appears in journals such as Oral Oncology, Pathology, Critical Reviews in Oral Biology & Medicine, CNS Neuroscience & Therapeutics and PubMed.

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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