Ming Fa
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- Protease and Inhibitor Mechanisms 7
-
- DNA and Nucleic Acid Chemistry 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Tor Ny (8 shared papers)Małgorzata Wilczyńska (4 shared papers)Floyd E. Romesberg (3 shared papers)Per‐Ingvar Ohlsson (1 shared paper)Lennart B.‐Å. Johansson (6 shared papers)Peter G. Schultz (2 shared papers)Jan Karolin (6 shared papers)Annalisa Radeghieri (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of the American Chemical Society (2 papers)Thrombosis Research (1 paper)European Journal of Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- SwedenUnited StatesChina
In The Last Decade
Ming Fa
11 papers receiving 601 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 244
- Hematology 157
- Molecular Biology 401
- Immunology and Allergy 33
- Genetics 38
Countries citing papers authored by Ming Fa
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).
Fields of papers citing papers by Ming Fa
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.
Co-authors
The 21 scholars most cited alongside Ming Fa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 154 | |
| 2 | 2002 | 120 | |
| 3 | 2004 | 97 | |
| 4 | 2000 | 62 | |
| 5 | 1998 | 55 | |
| 6 | 1995 | 54 | |
| 7 | 2002 | 38 | |
| 8 | 1996 | 17 | |
| 9 | 1994 | 10 | |
| 10 | 2000 | 7 | |
| 11 | 1994 | 3 | |
| 12 | 2016 | 0 |
About Ming Fa
Ming Fa is a scholar working on Cancer Research, Molecular Biology, Hematology, Genetics and Ecology, having authored 12 papers that have together received 617 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Cell Adhesion Molecules Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacteriophages and microbial interactions (2 papers) and Blood properties and coagulation (1 paper). The work is most often cited by research in Cancer Research (244 citations), Hematology (157 citations), Molecular Biology (401 citations), Immunology and Allergy (33 citations) and Genetics (38 citations). Ming Fa has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Tor Ny, Małgorzata Wilczyńska, Floyd E. Romesberg, Per‐Ingvar Ohlsson, Lennart B.‐Å. Johansson, Peter G. Schultz, Jan Karolin, Annalisa Radeghieri, Allison A. Henry and Takashi Sera. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Chemical Society, Thrombosis Research, European Journal of Biochemistry and Proceedings of the National Academy of Sciences.
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.