Pin Dong

970 citations
63 papers · 749 · h-index 19

Impact in

Papers in

    • RNA modifications and cancer 6
    • Glutathione Transferases and Polymorphisms 4
    • RNA Interference and Gene Delivery 3
    • Cancer-related molecular mechanisms research 10
    • MicroRNA in disease regulation 7

Pin Dong

60 papers receiving 745 citations

Peers

Pin Dong
Comparison fields: 5 of 83
  • Cancer Research 197
  • Otorhinolaryngology 31
  • Oncology 145
  • Molecular Biology 359
  • Neurology 38
Replace Li-Ching Lin with:
Li-Ching Lin Taiwan
Zhao‐hui Yang China
Kenneth Harrison United States
Brian Shin United States
Masato Shino Japan
Russell Williams United States
Kathrina L. Marcelo United States
Marisa R. Buchakjian United States
Anne-Sophie Lèbre France
Pin Dong relative to Li-Ching Lin Taiwan Li-Ching Lin's profile →
Citations per field
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Li-Ching Lin · 1×
Citations per year

Countries citing papers authored by Pin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Pin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 201344
3 201137
4 201335
5 202330
6 201629
7 202127
8
Gene and microRNA expression reveals sensitivity to paclitaxel in laryngeal cancer cell line.
201327
9 200926
10 201725
11 201124
12 202123
13 201723
14
ABCG2 regulated by MAPK pathways is associated with cancer progression in laryngeal squamous cell carcinoma.
201423
15
Polymorphisms in GSTM1, GSTTI and GSTP1 and nasopharyngeal cancer in the east of China: a case-control study.
201122
16 201521
17 201220
18 202219
19 201019
20 201918

About Pin Dong

Pin Dong is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Allergy and Physiology, having authored 63 papers that have together received 749 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (6 papers), Allergic Rhinitis and Sensitization (5 papers), Nerve injury and regeneration (4 papers), Glutathione Transferases and Polymorphisms (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (197 citations), Otorhinolaryngology (31 citations), Oncology (145 citations), Molecular Biology (359 citations) and Neurology (38 citations). Pin Dong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinwei Chen, Dawei Li, Shang Gao, Jin Xie, Baoxin Wang, Hongming Xu, Lixiao Chen, Ziwei Yu, Bin Shen and Bin Jin. Their work appears in journals such as The Journal of Laryngology & Otology, Gene, Acta Oto-Laryngologica, Journal of Cancer and Otolaryngology.

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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