Dan Fang

About

Dan Fang is a scholar working on Molecular Biology, Oncology and Cognitive Neuroscience. According to data from OpenAlex, Dan Fang has authored 30 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cognitive Neuroscience. Recurrent topics in Dan Fang’s work include Cancer-related molecular mechanisms research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Multisensory perception and integration (3 papers). Dan Fang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Multisensory perception and integration (3 papers). Dan Fang collaborates with scholars based in China, United States and Australia. Dan Fang's co-authors include Peiyuan Li, Dean Tian, Tun‐Min Jai, Michael W. O’Boyle, Hongping Xia, Haojun Xu, Yang Song, Jingdong Ma, Lian Liu and Xingxing He and has published in prestigious journals such as Frontiers in Immunology, Experimental Cell Research and Genomics.

In The Last Decade

Co-authorship network of co-authors of Dan Fang i

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Fields of papers citing papers by Dan Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Fang

Since Specialization

Citations

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