Aijun Pan
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 1%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 3
- Clostridium difficile and Clostridium perfringens research 2
-
- Nosocomial Infections in ICU 4
- Co-authors
- Haiming Wei (1 shared paper)Binqing Fu (1 shared paper)Xiaohu Zheng (1 shared paper)Mingfeng Han (1 shared paper)Yonggang Zhou (1 shared paper)Xiaoling Xu (1 shared paper)Wei Sun (1 shared paper)Xiuyong Li (1 shared paper)
In The Last Decade
Aijun Pan
26 papers receiving 2.2k citations
Aijun Pan's Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 1.5k
- Neurology 741
- Biological Psychiatry 30
- Obstetrics and Gynecology 81
- Critical Care and Intensive Care Medicine 49
Countries citing papers authored by Aijun Pan
This map shows the geographic impact of Aijun Pan'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 Aijun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijun Pan more than expected).
Fields of papers citing papers by Aijun Pan
This network shows the impact of papers produced by Aijun Pan. 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 Aijun Pan. The network helps show where Aijun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Aijun Pan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effective treatment of severe COVID-19 patients with tocilizumab Hit paper breakdown → | 2020 | 1879 |
| 2 | 2020 | 107 | |
| 3 | 2020 | 61 | |
| 4 | 2020 | 57 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 25 | |
| 7 | 2016 | 20 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2013 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 3 |
About Aijun Pan
Aijun Pan is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Epidemiology, Surgery and Clinical Biochemistry, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (4 papers), COVID-19 Clinical Research Studies (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Antibiotic Resistance in Bacteria (2 papers), Sepsis Diagnosis and Treatment (2 papers), Abdominal Surgery and Complications (1 paper) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (741 citations), Biological Psychiatry (30 citations), Obstetrics and Gynecology (81 citations) and Critical Care and Intensive Care Medicine (49 citations). Aijun Pan has collaborated with scholars based in China and Canada. Frequent co-authors include Haiming Wei, Binqing Fu, Xiaohu Zheng, Mingfeng Han, Yonggang Zhou, Xiaoling Xu, Wei Sun, Xiuyong Li, Yun Yang and Tiantian Li. Their work appears in journals such as International Journal of Infectious Diseases, Frontiers in Microbiology, BMC Genomics, Proceedings of the National Academy of Sciences and BMC 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.