Feng Ma

45 papers and 763 indexed citations i.

About

Feng Ma is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Feng Ma has authored 45 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cell Biology and 15 papers in Hematology. Recurrent topics in Feng Ma’s work include Zebrafish Biomedical Research Applications (16 papers), Pluripotent Stem Cells Research (10 papers) and Immune Cell Function and Interaction (9 papers). Feng Ma is often cited by papers focused on Zebrafish Biomedical Research Applications (16 papers), Pluripotent Stem Cells Research (10 papers) and Immune Cell Function and Interaction (9 papers). Feng Ma collaborates with scholars based in China, Japan and United States. Feng Ma's co-authors include Tatsutoshi Nakahata, Kohichiro Tsuji, Yasuhiro Ebihara, Katsutsugu Umeda, Min Wu, Xin Deng, Shirui Tan, Qinqin Pu, Rongpeng Li and Hiromi Sakai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Feng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Ma

Since Specialization
Citations

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