Dan Long
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Antimicrobial Resistance in Staphylococcus
Papers in
- Immunology 18
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 6
- Co-authors
- Shengfu Li (34 shared papers)Youping Li (20 shared papers)Rebecca Rosenke (15 shared papers)Donald J. Gardner (6 shared papers)Juan Shan (19 shared papers)Xuechi Lin (7 shared papers)Xuelu Chen (4 shared papers)Ying Liao (5 shared papers)
- Journals
- Cellular Immunology (6 papers)PLoS ONE (5 papers)Journal of Virology (4 papers)The Journal of Infectious Diseases (4 papers)Journal of Surgical Research (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Long
127 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 142
- Molecular Medicine 220
- Infectious Diseases 684
- Cancer Research 426
- Genetics 257
- Transplantation 55
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 | 2019 | 311 | |
| 2 | 2011 | 215 | |
| 3 | 2008 | 186 | |
| 4 | 2009 | 120 | |
| 5 | 2012 | 116 | |
| 6 | 2010 | 103 | |
| 7 | 2012 | 101 | |
| 8 | 2010 | 94 | |
| 9 | 2011 | 88 | |
| 10 | 2017 | 84 | |
| 11 | 2019 | 82 | |
| 12 | 2016 | 77 | |
| 13 | 2019 | 75 | |
| 14 | 2016 | 66 | |
| 15 | 2011 | 59 | |
| 16 | 2010 | 58 | |
| 17 | 2013 | 55 | |
| 18 | 2012 | 51 | |
| 19 | 2012 | 50 | |
| 20 | 2010 | 48 |
About Dan Long
Dan Long is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Epidemiology, having authored 129 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Viral Infections and Vectors (9 papers), Immunotherapy and Immune Responses (6 papers), Mesenchymal stem cell research (6 papers), Cancer-related molecular mechanisms research (6 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Molecular Medicine (220 citations), Infectious Diseases (684 citations), Cancer Research (426 citations), Genetics (257 citations) and Transplantation (55 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, Juan Shan, Xuechi Lin, Xuelu Chen, Ying Liao, Yanni Zhou and Heinz Feldmann. Their work appears in journals such as Cellular Immunology, PLoS ONE, Journal of Virology, The Journal of Infectious Diseases and Journal of Surgical 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.