Pan Luo
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
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- Plant Reproductive Biology 6
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- Plant Molecular Biology Research 11
- Plant nutrient uptake and metabolism 4
- Phytochemistry and Biological Activities 4
- Co-authors
- Dong Liu (6 shared papers)Juan Li (3 shared papers)Lin Qiu (4 shared papers)Yi Liu (3 shared papers)Xiulan Liu (3 shared papers)Dong‐Wei Di (12 shared papers)Guang‐Qin Guo (7 shared papers)Jun Xu (9 shared papers)
- Journals
- Journal of Natural Products (4 papers)Scientific Reports (4 papers)Fitoterapia (3 papers)International Journal of Molecular Sciences (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pan Luo
60 papers receiving 2.4k citations
Pan Luo's Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 818
- Neurology 414
- Biophysics 98
- Pharmacology 125
- Neurology 106
Countries citing papers authored by Pan Luo
This map shows the geographic impact of Pan Luo'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 Pan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Luo more than expected).
Fields of papers citing papers by Pan Luo
This network shows the impact of papers produced by Pan Luo. 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 Pan Luo. The network helps show where Pan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Luo, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tocilizumab treatment in COVID‐19: A single center experience Hit paper breakdown → | 2020 | 900 |
| 2 | 2020 | 200 | |
| 3 | 2019 | 137 | |
| 4 | 2015 | 118 | |
| 5 | 2020 | 114 | |
| 6 | 2021 | 94 | |
| 7 | 2022 | 48 | |
| 8 | 2018 | 41 | |
| 9 | 2024 | 40 | |
| 10 | 2016 | 38 | |
| 11 | 2016 | 38 | |
| 12 | 2018 | 36 | |
| 13 | 2016 | 33 | |
| 14 | 2017 | 32 | |
| 15 | 2023 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2019 | 26 | |
| 18 | 2016 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2017 | 23 |
About Pan Luo
Pan Luo is a scholar working on Molecular Biology, Plant Science, Neurology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Plant Reproductive Biology (6 papers), Neurological Disease Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Plant nutrient uptake and metabolism (4 papers), Phytochemistry and Biological Activities (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (818 citations), Neurology (414 citations), Biophysics (98 citations), Pharmacology (125 citations) and Neurology (106 citations). Pan Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dong Liu, Juan Li, Lin Qiu, Yi Liu, Xiulan Liu, Dong‐Wei Di, Guang‐Qin Guo, Jun Xu, Qiong Gu and Caiguo Zhang. Their work appears in journals such as Journal of Natural Products, Scientific Reports, Fitoterapia, International Journal of Molecular Sciences and Journal of Medical Virology.
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.