Dedong Li
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Antifungal resistance and susceptibility 17
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 4
- Co-authors
- Yuanying Jiang (13 shared papers)Yan Wang (12 shared papers)Eleftherios Mylonakis (10 shared papers)Lan‐Xue Zhao (6 shared papers)Dandan Hu (4 shared papers)Lan Yan (4 shared papers)Xiaowen Huang (5 shared papers)Partha S. Biswas (9 shared papers)
- Journals
- Journal of Virology (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)PLoS ONE (3 papers)International Immunopharmacology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dedong Li
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Infectious Diseases 503
- Microbiology 86
- Aging 21
- Immunology 174
- Toxicology 22
Countries citing papers authored by Dedong Li
This map shows the geographic impact of Dedong 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 Dedong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dedong Li more than expected).
Fields of papers citing papers by Dedong Li
This network shows the impact of papers produced by Dedong 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 Dedong Li. The network helps show where Dedong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dedong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 110 | |
| 2 | 2014 | 95 | |
| 3 | 2013 | 73 | |
| 4 | 2013 | 72 | |
| 5 | 2021 | 64 | |
| 6 | 2013 | 60 | |
| 7 | 2019 | 50 | |
| 8 | 2014 | 44 | |
| 9 | 2022 | 39 | |
| 10 | 2017 | 38 | |
| 11 | 2014 | 31 | |
| 12 | 2020 | 30 | |
| 13 | 2021 | 30 | |
| 14 | 2021 | 30 | |
| 15 | 2012 | 27 | |
| 16 | 2024 | 24 | |
| 17 | 2024 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2022 | 20 | |
| 20 | 2015 | 20 |
About Dedong Li
Dedong Li is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Oncology and Microbiology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (17 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Antimicrobial Peptides and Activities (5 papers), Invertebrate Immune Response Mechanisms (4 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (4 papers), Fungal Infections and Studies (3 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Infectious Diseases (503 citations), Microbiology (86 citations), Aging (21 citations), Immunology (174 citations) and Toxicology (22 citations). Dedong Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yuanying Jiang, Yan Wang, Eleftherios Mylonakis, Lan‐Xue Zhao, Dandan Hu, Lan Yan, Xiaowen Huang, Partha S. Biswas, Marios Arvanitis and Chetan V. Jawale. Their work appears in journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy, PLoS ONE, International Immunopharmacology 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.