Ming Fa

About

Ming Fa is a scholar working on Cancer Research, Molecular Biology and Hematology. According to data from OpenAlex, Ming Fa has authored 11 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Ming Fa’s work include Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Ming Fa is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Ming Fa collaborates with scholars based in Sweden and United States. Ming Fa's co-authors include Tor Ny, Małgorzata Wilczyńska, Floyd E. Romesberg, Per‐Ingvar Ohlsson, Lennart B.‐Å. Johansson, Peter G. Schultz, Jan Karolin, Allison A. Henry, Annalisa Radeghieri and Takashi Sera and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Ming Fa i

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Fields of papers citing papers by Ming Fa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Fa

Since Specialization

Citations

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