Ling Duan

32 papers receiving 364 citations

Peers

Ling Duan
Comparison fields: 5 of 65
  • Otorhinolaryngology 19
  • Oncology 99
  • Biotechnology 34
  • Genetics 94
  • Cancer Research 39
Replace Samantha N. Devenport with:
Samantha N. Devenport United States
Sylvain Ferrandon United States
Ya‐Wen Cheng Taiwan
Victoria L. Green United Kingdom
Branislav Bystrický Slovakia
Mahshid Panahi Iran
W. K. Gourley United States
Massimo Maffei Italy
Mark Sturmoski United States
Yusuke Koide Japan
Ling Duan relative to Samantha N. Devenport United States Samantha N. Devenport's profile →
Citations per field
00.5×4.1×
Samantha N. Devenport · 1×
Citations per year

Countries citing papers authored by Ling Duan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
p16INK4A adenovirus-mediated gene therapy for human head and neck squamous cell cancer.
199871
2 199741
3 199731
4 202130
5 202122
6 199919
7 201719
8 202118
9 202013
10 202110
11 200510
12 20229
13 20229
14 20228
15 20247
16 20237
17 20247
18 20206
19 20245
20 20224

About Ling Duan

Ling Duan is a scholar working on Molecular Biology, Neurology, Oncology, Genetics and Infectious Diseases, having authored 35 papers that have together received 369 indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (5 papers), Virus-based gene therapy research (4 papers), Gut microbiota and health (3 papers), Cancer therapeutics and mechanisms (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Neonatal Health and Biochemistry (2 papers), Cancer Diagnosis and Treatment (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Otorhinolaryngology (19 citations), Oncology (99 citations), Biotechnology (34 citations), Genetics (94 citations) and Cancer Research (39 citations). Ling Duan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daqing Li, Bert W. O’Malley, Duane A. Sewell, David Sidransky, John K. Saunders, James W. Rocco, William H. Liggett, Savio L.C. Woo, Ken-ichiro Kosai and Shu‐Hsia Chen. Their work appears in journals such as BMC Pediatrics, The Journal of Maternal-Fetal & Neonatal Medicine, The Laryngoscope, BMC Microbiology and Frontiers in Nutrition.

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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