Moli Fan

About

Moli Fan is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Moli Fan has authored 13 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 9 papers in Pathology and Forensic Medicine and 3 papers in Rheumatology. Recurrent topics in Moli Fan’s work include Multiple Sclerosis Research Studies (9 papers), Peripheral Neuropathies and Disorders (6 papers) and Long-Term Effects of COVID-19 (3 papers). Moli Fan is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Peripheral Neuropathies and Disorders (6 papers) and Long-Term Effects of COVID-19 (3 papers). Moli Fan collaborates with scholars based in China, Netherlands and United States. Moli Fan's co-authors include Fu‐Dong Shi, Yaou Liu, Lei Su, Dongmei Jia, Xinghu Zhang, Ying Fu, Li Yang, De‐Cai Tian, Zilong Zhu and Xindi Li and has published in prestigious journals such as Neurology, Multiple Sclerosis Journal and Frontiers in Neurology.

In The Last Decade

Co-authorship network of co-authors of Moli Fan i

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Fields of papers citing papers by Moli Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moli Fan. 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 Moli Fan. The network helps show where Moli Fan may publish in the future.

Countries citing papers authored by Moli Fan

Since Specialization

Citations

This map shows the geographic impact of Moli Fan'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 Moli Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moli Fan 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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