Feng Zang

22 papers and 312 indexed citations i.

About

Feng Zang is a scholar working on Hepatology, Epidemiology and Immunology. According to data from OpenAlex, Feng Zang has authored 22 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 7 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Feng Zang’s work include Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and interferon and immune responses (4 papers). Feng Zang is often cited by papers focused on Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and interferon and immune responses (4 papers). Feng Zang collaborates with scholars based in China and United States. Feng Zang's co-authors include Xueying Ren, Henning U. Voss, Karl Deisseroth, Viviana Gradinaru, Ana I. Domingos, Jeffrey M. Friedman, Ivan E. de Araújo, Minli Liu, Peng Huang and Mei Liu and has published in prestigious journals such as Nature Neuroscience, Gene and Carcinogenesis.

In The Last Decade

Co-authorship network of co-authors of Feng Zang i

Fields of papers citing papers by Feng Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Zang

Since Specialization
Citations

This map shows the geographic impact of Feng Zang'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 Feng Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Zang 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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2025