Jingdong Song
- Infectious Diseases top 0.02%
- Viral Infections and Vectors 21
- Viral gastroenteritis research and epidemiology 18
- Viral Infections and Outbreaks Research 10
- SARS-CoV-2 and COVID-19 Research 9
- Modeling and Simulation top 0.05%
- General Dentistry top 0.2%
- Neurology top 0.2%
- Obstetrics and Gynecology top 0.5%
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- Virus-based gene therapy research 16
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- Respiratory viral infections research 14
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- Bacteriophages and microbial interactions 12
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- Mosquito-borne diseases and control 10
Jingdong Song
90 papers receiving 20.0k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Infectious Diseases 12.6k
- Modeling and Simulation 2.0k
- General Dentistry 440
- Neurology 3.4k
- Obstetrics and Gynecology 956
Countries citing papers authored by Jingdong Song
This map shows the geographic impact of Jingdong Song'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 Jingdong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingdong Song more than expected).
Fields of papers citing papers by Jingdong Song
This network shows the impact of papers produced by Jingdong Song. 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 Jingdong Song. The network helps show where Jingdong Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingdong Song, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 60 | |
| 11 | 2022 | 24 | |
| 12 | 2021 | 40 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 281 | |
| 15 | 2018 | 1 | |
| 16 | [Isolation and Identification of the Nam Dinh Virus from Mosquitoes on the China-Laos-Myanmar Border]. | 2016 | 2 |
| 17 | [Establishment of Quality Control System of Nucleic Acid Detection for Ebola Virus in Sierra Leone-China Friendship Biological Safety Laboratory]. | 2016 | 0 |
| 18 | 2012 | 17 | |
| 19 | 2010 | 14 | |
| 20 | [Preparation of antiserum to protein V of human adenovirus type 41]. | 2009 | 1 |
About Jingdong Song
Jingdong Song is a scholar working on Infectious Diseases, Microbiology and Virology, having authored 99 papers that have together received 20.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (21 papers), Viral gastroenteritis research and epidemiology (18 papers), Virus-based gene therapy research (16 papers), Respiratory viral infections research (14 papers), Bacteriophages and microbial interactions (12 papers), Viral Infections and Outbreaks Research (10 papers), Mosquito-borne diseases and control (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Infectious Diseases (12.6k citations), Modeling and Simulation (2.0k citations) and General Dentistry (440 citations). Jingdong Song has collaborated with scholars based in China, Taiwan and Iran. Frequent co-authors include Wenjie Tan, Guizhen Wu, George F. Gao, Baoying Huang, Na Zhu, Roujian Lu, Wenbo Xu, Xuejun Ma, Peihua Niu and Wen‐Ching Wang. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.