Daqing Li

97 papers receiving 2.9k citations

Peers

Daqing Li
Comparison fields: 5 of 128
  • Sensory Systems 620
  • Otorhinolaryngology 253
  • Developmental Neuroscience 165
  • Neurology 273
  • Biomaterials 259
Replace Matthew P. Hoffman with:
Matthew P. Hoffman United States
Satoru Kondo Japan
Kunyoo Shin South Korea
Marta Roccio Switzerland
Karl R. Koehler United States
Karl R. Fath United States
Liping Zhao China
Francina Langa France
Jian‐Fu Chen United States
Christian Kaltschmidt Germany
Daqing Li relative to Matthew P. Hoffman United States Matthew P. Hoffman's profile →
Citations per field
00.5×3.8×
Matthew P. Hoffman · 1×
Citations per year

Countries citing papers authored by Daqing Li

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997285
2 2014192
3 2004175
4
Variability of adenovirus receptor density influences gene transfer efficiency and therapeutic response in head and neck cancer.
1999121
5 2008109
6
Combination gene therapy for oral cancer in a murine model.
1996106
7 201699
8 200797
9
p16INK4A adenovirus-mediated gene therapy for human head and neck squamous cell cancer.
199877
10 201470
11 200966
12 200963
13 200963
14 199962
15 199560
16 201859
17 201453
18 199652
19 200950
20 201046

About Daqing Li

Daqing Li is a scholar working on Molecular Biology, Oncology, Sensory Systems, Genetics and Surgery, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Hearing, Cochlea, Tinnitus, Genetics (12 papers), Nerve injury and regeneration (8 papers), Cancer Research and Treatments (8 papers), Vestibular and auditory disorders (6 papers), DNA Repair Mechanisms (5 papers), RNA Interference and Gene Delivery (5 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Sensory Systems (620 citations), Otorhinolaryngology (253 citations), Developmental Neuroscience (165 citations), Neurology (273 citations) and Biomaterials (259 citations). Daqing Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bert W. O’Malley, Geoffrey Raisman, Hamidreza Ghandehari, Joseph Cappello, Lijuan Zhou, Jeremy Nathans, Mengqing Xiang, William H. Klein, Lin Gan and Ying Li. Their work appears in journals such as The Laryngoscope, Otolaryngology, Head & Neck, Clinical Cancer Research and Hearing Research.

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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