Li Dong
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Nosocomial Infections in ICU 4
-
- Venous Thromboembolism Diagnosis and Management 3
- Co-authors
- Yoshinobu KimuraIsamu MoriBeixing LiuM. Jaber HossainKathy HancockEboneé N. ButlerXing LüN J Cox
- Journals
- Journal of General Virology (3 papers)Scientific Reports (2 papers)Vaccine (1 paper)Medical Microbiology and Immunology (1 paper)BMC Nephrology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Li Dong
33 papers receiving 887 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 76
- Epidemiology 571
- Immunology 252
- Nephrology 73
- Agronomy and Crop Science 100
Countries citing papers authored by Li Dong
This map shows the geographic impact of Li 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 Li Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Dong more than expected).
Fields of papers citing papers by Li Dong
This network shows the impact of papers produced by Li 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 Li Dong. The network helps show where Li Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 4 | |
| 9 | 2018 | 24 | |
| 10 | 2018 | 24 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 30 | |
| 13 | 2013 | 74 | |
| 14 | Study on the Identification of Cornu Cervi Pantotrichum with DNA Barcoding | 2011 | 8 |
| 15 | Serum cross-reactive antibody response to a novel influenza A (H1N1) virus after vaccination with seasonal influenza vaccine. | 2009 | 409 |
| 16 | 2007 | 9 | |
| 17 | Molecular Evidence of Bartonella Species From Fleas in Yunnan | 2005 | 1 |
| 18 | 2003 | 16 | |
| 19 | Determination of Nucleic Acids by a Near-IR Spectrophotometric Method | 2000 | 1 |
| 20 | 2000 | 38 |
About Li Dong
Li Dong is a scholar working on Critical Care and Intensive Care Medicine, Internal Medicine, Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 35 papers that have together received 915 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Nosocomial Infections in ICU (4 papers), Immune Cell Function and Interaction (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), interferon and immune responses (3 papers), Respiratory Support and Mechanisms (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Epidemiology (571 citations), Immunology (252 citations), Nephrology (73 citations) and Agronomy and Crop Science (100 citations). Li Dong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yoshinobu Kimura, Isamu Mori, Beixing Liu, M. Jaber Hossain, Kathy Hancock, Eboneé N. Butler, Xing Lü, N J Cox, Vic Veguilla and Zhijian Li. Their work appears in journals such as Journal of General Virology, Scientific Reports, Vaccine, Medical Microbiology and Immunology and BMC Nephrology.
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.