Pan Ji
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
- Neurology 11
- Long-Term Effects of COVID-19 8
- Parkinson's Disease Mechanisms and Treatments 3
- Neurological disorders and treatments 3
- Botulinum Toxin and Related Neurological Disorders 2
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- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Jianfeng Zhang (15 shared papers)Hongyuan Li (12 shared papers)Zhimei Zhong (10 shared papers)Jieyun Zhu (9 shared papers)Jielong Pang (9 shared papers)Chunling Zhao (2 shared papers)Bocheng Li (7 shared papers)Cuiying He (3 shared papers)
- Journals
- Journal of Medical Virology (4 papers)Medicine (2 papers)Scientific Reports (1 paper)Family Medicine and Community Health (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Pan Ji
23 papers receiving 1.2k citations
Pan Ji's Hit Papers
Peers
Comparison fields: 5 of 118
- Infectious Diseases 648
- Neurology 451
- Critical Care and Intensive Care Medicine 89
- Oncology 183
- Modeling and Simulation 29
Countries citing papers authored by Pan Ji
This map shows the geographic impact of Pan Ji'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 Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Ji more than expected).
Fields of papers citing papers by Pan Ji
This network shows the impact of papers produced by Pan Ji. 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 Ji. The network helps show where Pan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Ji, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical characteristics of 3062 COVID‐19 patients: A meta‐analysis Hit paper breakdown → | 2020 | 432 |
| 2 | 2020 | 116 | |
| 3 | 2020 | 94 | |
| 4 | 2020 | 92 | |
| 5 | 2020 | 80 | |
| 6 | 2020 | 73 | |
| 7 | 2020 | 60 | |
| 8 | 2014 | 44 | |
| 9 | 2020 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2021 | 26 | |
| 12 | Two gene set variation indexes as potential diagnostic tool for sepsis. | 2020 | 25 |
| 13 | 2019 | 23 | |
| 14 | 2022 | 19 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 10 |
About Pan Ji
Pan Ji is a scholar working on Neurology, Infectious Diseases, Molecular Biology, Surgery and Nephrology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological disorders and treatments (3 papers), Inflammation biomarkers and pathways (2 papers), Natural product bioactivities and synthesis (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Infectious Diseases (648 citations), Neurology (451 citations), Critical Care and Intensive Care Medicine (89 citations), Oncology (183 citations) and Modeling and Simulation (29 citations). Pan Ji has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jianfeng Zhang, Hongyuan Li, Zhimei Zhong, Jieyun Zhu, Jielong Pang, Chunling Zhao, Bocheng Li, Cuiying He, Jihua Feng and Xiaowen Zheng. Their work appears in journals such as Journal of Medical Virology, Medicine, Scientific Reports, Family Medicine and Community Health and Diagnostic Pathology.
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.