Dolly P. Huang

6.1k citations
65 papers · 4.8k indexed · h-index 40

Dolly P. Huang

63 papers receiving 4.7k citations

Peers

Dolly P. Huang
Comparison fields: 5 of 109
  • Otorhinolaryngology 639
  • Cancer Research 1.4k
  • Oncology 2.4k
  • Molecular Biology 2.3k
  • Pathology and Forensic Medicine 558
Replace Jian‐Yong Shao with:
Jian‐Yong Shao China
Mitchell J. Frederick United States
Mahvash Tavassoli United Kingdom
Ravindra Uppaluri United States
Cathy A. Finlay United States
Régis Costello France
Karin Nylander Sweden
Thomas E. Darga United States
Philippe Anker Switzerland
Rainer Engers Germany
Dolly P. Huang relative to Jian‐Yong Shao China Jian‐Yong Shao's profile →
Citations per field
00.5×1.6×
Jian‐Yong Shao · 1×
Citations per year

Countries citing papers authored by Dolly P. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Dolly P. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dolly P. Huang. 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 Dolly P. Huang. The network helps show where Dolly P. Huang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2006166
2 200589
3 200539
4 20049
5 200481
6 200440
7 200423
8 200495
9 200445
10 200324
11 200355
12
Coexpression of hypoxia-inducible factors 1alpha and 2alpha, carbonic anhydrase IX, and vascular endothelial growth factor in nasopharyngeal carcinoma and relationship to survival.
2002263
13
Promoter hypermethylation of multiple genes in nasopharyngeal carcinoma.
2002206
14 2002206
15 200113
16 200126
17 199931
18 199831
19 199342
20 199175

About Dolly P. Huang

Dolly P. Huang is a scholar working on Oncology, Otorhinolaryngology and Cancer Research, having authored 65 papers that have together received 4.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (25 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Cancer-related Molecular Pathways (9 papers), Cancer-related molecular mechanisms research (8 papers), Parvovirus B19 Infection Studies (8 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Otorhinolaryngology (639 citations), Cancer Research (1.4k citations) and Oncology (2.4k citations). Dolly P. Huang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kwok Wai Lo, Ka‐Fai To, Joseph C. K. Lee, Anthony T.�C. Chan, Philip J. Johnson, Joseph Kwong, Peter M.L. Teo, Lisa Chan, ST Cheung and Angela Kwok Fung Lo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

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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