Dan Long
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Antimicrobial Resistance in Staphylococcus
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Cancer-related molecular mechanisms research 5
-
- Antibiotic Resistance in Bacteria 10
- Co-authors
- Shengfu Li (31 shared papers)Youping Li (19 shared papers)Rebecca Rosenke (15 shared papers)Donald J. Gardner (6 shared papers)Xuelu Chen (4 shared papers)Xuechi Lin (7 shared papers)Juan Shan (18 shared papers)Heinz Feldmann (9 shared papers)
- Journals
- Cellular Immunology (6 papers)PLoS ONE (5 papers)Journal of Virology (5 papers)Journal of Surgical Research (4 papers)The Journal of Infectious Diseases (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Long
127 papers receiving 4.6k citations
Dan Long's Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 1.4k
- Molecular Medicine 228
- Cancer Research 437
- Genetics 259
- Immunology 480
Countries citing papers authored by Dan Long
This map shows the geographic impact of Dan Long'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 Dan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Long more than expected).
Fields of papers citing papers by Dan Long
This network shows the impact of papers produced by Dan Long. 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 Dan Long. The network helps show where Dan Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Long, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChAdOx1 nCoV-19 vaccine prevents SARS-CoV-2 pneumonia in rhesus macaques Hit paper breakdown → | 2020 | 747 |
| 2 | 2019 | 323 | |
| 3 | 2011 | 222 | |
| 4 | 2008 | 188 | |
| 5 | 2009 | 127 | |
| 6 | 2012 | 119 | |
| 7 | 2012 | 107 | |
| 8 | 2010 | 106 | |
| 9 | 2010 | 96 | |
| 10 | 2011 | 90 | |
| 11 | 2019 | 88 | |
| 12 | 2017 | 85 | |
| 13 | 2016 | 82 | |
| 14 | 2010 | 80 | |
| 15 | 2019 | 79 | |
| 16 | 2016 | 66 | |
| 17 | 2011 | 63 | |
| 18 | 2013 | 56 | |
| 19 | 2010 | 56 | |
| 20 | 2023 | 51 |
About Dan Long
Dan Long is a scholar working on Cancer Research, Molecular Medicine, Infectious Diseases, Immunology and Molecular Biology, having authored 129 papers that have together received 4.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Viral Infections and Vectors (9 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (9 papers), Mesenchymal stem cell research (6 papers), RNA modifications and cancer (5 papers), Respiratory viral infections research (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Molecular Medicine (228 citations), Cancer Research (437 citations), Genetics (259 citations) and Immunology (480 citations). Dan Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shengfu Li, Youping Li, Rebecca Rosenke, Donald J. Gardner, Xuelu Chen, Xuechi Lin, Juan Shan, Heinz Feldmann, Ying Liao and Yanni Zhou. Their work appears in journals such as Cellular Immunology, PLoS ONE, Journal of Virology, Journal of Surgical Research and The Journal of Infectious Diseases.
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.