Xiaotao Lu
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 20
- Viral gastroenteritis research and epidemiology 16
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 17
- Neurology top 5%
- Modeling and Simulation top 5%
- Epidemiology top 5%
- Respiratory viral infections research 1
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- Virus-based gene therapy research 4
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- Viral Infections and Immunology Research 2
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- interferon and immune responses 1
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- Liver Disease and Transplantation 1
- Co-authors
- Mark R. DenisonRalph S. BaricRachel L. GrahamMaria L. AgostiniTimothy P. SheahanAmy SimsLance D. EckerleErica L. Andres
- Journals
- The Journal of Immunology (1 paper)Journal of Virology (13 papers)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Xiaotao Lu
26 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 2.6k
- Animal Science and Zoology 736
- Neurology 257
- Modeling and Simulation 75
- Epidemiology 555
Countries citing papers authored by Xiaotao Lu
This map shows the geographic impact of Xiaotao Lu'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 Xiaotao Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotao Lu more than expected).
Fields of papers citing papers by Xiaotao Lu
This network shows the impact of papers produced by Xiaotao Lu. 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 Xiaotao Lu. The network helps show where Xiaotao Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaotao Lu, 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 | 2023 | 13 | |
| 3 | Mutations in the SARS-CoV-2 RNA-dependent RNA polymerase confer resistance to remdesivir by distinct mechanismsbreakdown → | 2022 | 139 |
| 4 | 2021 | 155 | |
| 5 | Small-Molecule Antiviral β- | 2019 | 255 |
| 6 | 2019 | 12 | |
| 7 | 2017 | 49 | |
| 8 | 2017 | 52 | |
| 9 | 2013 | 85 | |
| 10 | 2012 | 5 | |
| 11 | 2010 | 329 | |
| 12 | 2007 | 241 | |
| 13 | 2007 | 30 | |
| 14 | 2006 | 12 | |
| 15 | 1998 | 1 | |
| 16 | 1996 | 52 | |
| 17 | 1996 | 47 | |
| 18 | 1995 | 83 | |
| 19 | 1995 | 90 | |
| 20 | 1993 | 342 |
About Xiaotao Lu
Xiaotao Lu is a scholar working on Animal Science and Zoology, Infectious Diseases and Hepatology, having authored 27 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (20 papers), Animal Virus Infections Studies (17 papers), Viral gastroenteritis research and epidemiology (16 papers), Virus-based gene therapy research (4 papers), Viral Infections and Immunology Research (2 papers), interferon and immune responses (1 paper), Respiratory viral infections research (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Infectious Diseases (2.6k citations), Animal Science and Zoology (736 citations) and Neurology (257 citations). Xiaotao Lu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mark R. Denison, Ralph S. Baric, Rachel L. Graham, Maria L. Agostini, Timothy P. Sheahan, Amy Sims, Lance D. Eckerle, Erica L. Andres, Everett Clinton Smith and James Brett Case. Their work appears in journals such as The Journal of Immunology, Journal of Virology and Science Translational Medicine.
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.