Pan Ji

About

Pan Ji is a scholar working on Neurology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pan Ji has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 9 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Pan Ji’s work include COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (8 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Pan Ji is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (8 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Pan Ji collaborates with scholars based in China, United States and Switzerland. Pan Ji's co-authors include Jianfeng Zhang, Hongyuan Li, Zhimei Zhong, Jieyun Zhu, Jielong Pang, Bocheng Li, Chunling Zhao, Cuiying He, Xiaowen Zheng and Jihua Feng and has published in prestigious journals such as Scientific Reports, Medicine and Neuroscience Letters.

In The Last Decade

Co-authorship network of co-authors of Pan Ji i

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Fields of papers citing papers by Pan Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Pan Ji

Since Specialization

Citations

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).

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.

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