Ming‐Ni Hung
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
-
- Microbial Metabolites in Food Biotechnology
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Protein Structure and Dynamics 2
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Mirosław Cygler (5 shared papers)Joseph D. Schrag (2 shared papers)Nien‐Tai Hu (3 shared papers)Christine Munger (2 shared papers)Traian Sulea (2 shared papers)Byong H. Lee (2 shared papers)Allan Matte (4 shared papers)Enrico O. Purisima (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Microbiology (2 papers)Journal of Biological Chemistry (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- CanadaTaiwanUnited States
In The Last Decade
Ming‐Ni Hung
12 papers receiving 386 citations
Peers
Comparison fields: 5 of 72
- Biotechnology 48
- Nutrition and Dietetics 57
- Genetics 36
- Molecular Biology 242
- Endocrinology 13
Countries citing papers authored by Ming‐Ni Hung
This map shows the geographic impact of Ming‐Ni Hung'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‐Ni Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ni Hung more than expected).
Fields of papers citing papers by Ming‐Ni Hung
This network shows the impact of papers produced by Ming‐Ni Hung. 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‐Ni Hung. The network helps show where Ming‐Ni Hung may publish in the future.
Co-authors
The 22 scholars most cited alongside Ming‐Ni Hung, 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 | 2008 | 141 | |
| 2 | 2001 | 53 | |
| 3 | 2006 | 50 | |
| 4 | 2006 | 38 | |
| 5 | 1995 | 28 | |
| 6 | 2006 | 25 | |
| 7 | 1998 | 17 | |
| 8 | 2002 | 16 | |
| 9 | 2005 | 13 | |
| 10 | 1998 | 12 | |
| 11 | 2007 | 1 | |
| 12 | 2005 | 1 |
About Ming‐Ni Hung
Ming‐Ni Hung is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Epidemiology and Cell Biology, having authored 12 papers that have together received 395 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Bacterial Genetics and Biotechnology (4 papers), Glycosylation and Glycoproteins Research (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Fungal Infections and Studies (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Protein Structure and Dynamics (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Biotechnology (48 citations), Nutrition and Dietetics (57 citations), Genetics (36 citations), Molecular Biology (242 citations) and Endocrinology (13 citations). Ming‐Ni Hung has collaborated with scholars based in Canada, Taiwan and United States. Frequent co-authors include Mirosław Cygler, Joseph D. Schrag, Nien‐Tai Hu, Christine Munger, Traian Sulea, Byong H. Lee, Allan Matte, Enrico O. Purisima, Qizhi Cui and Erumbi S. Rangarajan. Their work appears in journals such as Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, Microbiology, Journal of Biological Chemistry and Journal of Bacteriology.
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.